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Statistical Data Sciences Lead (IC)<ul><li>At least 7-8 years relevant experience in a pharmaceutical, biotech, CRO, or Regulatory Agency.</li><li>Accountable for multiple projects/ongoing work activities (timelines, work plans, deliverables) of moderate complexity within a Work Team</li><li>Contributes to upto 70% of their time to programming deliverables assigned within the scope of the function in either SAS, R or Python,10% to resourcing, project/people management and 20% to self learning, development and growth. </li><li>Will deliver through combination of oversight of vendors/offshore support as well as through hands on programming</li><li>Works with department leadership and project teams to establish strategy, timelines, and resourcing of statistical programming and analysis deliverables for their study(ies).</li><li>Accountable for the quality and timely delivery of datasets and displays required for their clinical study reports as well as other asset level deliverables they may contribute to under the leadership of the asset lead.</li><li>Ensures appropriate documentation and QC across the lifespan of the study for all programming deliverables and verifies proper Trial Master File filings when appropriate.</li><li>Understand/Implement standard/study/project/portfolio requirements and specification and work with global stakeholders in ensuring completion of project/study/deliverable goals and milestones</li><li>Ensures planning is in place for all programmed deliverables including consideration of special data types and downstream uses of data</li><li>Responsible for all deliverables within the project, responsible for assisting the Senior Manager in performance reviews and appraisals and for suggesting career development plans for the team members.</li><li>Also SME's and leads of initiative at global levels, contributing to global initiatives and projects such as Submission Specialists, Application Manager etc.</li><li>Works with statisticians, programming resources and other colleagues as appropriate to ensure clear specifications for programmed deliverables are in place.</li><li>Will be knowledgeable in core safety standards as well as Therapeutic Area standards pertinent to their project, may aid in development of standards necessary for their study.</li><li>Will contribute to department level initiatives.</li><li>Acts as mentor to junior team members</li><li>Advances job knowledge to next level by participating/contributing in/to opportunities both globally and locally.</li><li>Proactive at communicating potential issues to upper management</li><li>Anticipates and solves routine problems, while developing the ability to solve complex problems using skills based on experience and extrapolation to new situations</li><li>Able to understand business problems and convert it to a analytical problem and solve it using programming and data science algorithms.</li><li>Able to guide the team on any technical front in programming, modeling and business aspects of the projects.</li></ul>   Work Location Assignment: Hybrid Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.Medical<h4>Experience Level</h4>Senior Level

Pfizer Ltd

Data Science Intern

Technical Lead-Data Engg<h4>Area(s) of responsibility</h4>JD for Azure Data Bricks: Core responsibilitiesDesign and development:Architect and build scalable, robust data solutions on the Azure Databricks platform.  Data pipelines:Develop and maintain data pipelines, handling both batch and streaming data for various file formats like CSV, JSON, and Parquet.  ETL/ELT processes:Implement and optimize ETL/ELT processes to transform raw data into usable formats for analytics and reporting.  Collaboration:Work closely with data engineers, data scientists, and business analysts to meet data requirements and support machine learning workflows.  Performance optimization:Tune Databricks clusters and jobs for performance, scalability, and cost efficiency.  Integration:Integrate Databricks with other Azure services such as Azure Data Lake, Synapse, Key Vault, and SQL Database.  Maintenance and support:Monitor and troubleshoot data pipelines, resolve issues, and perform code reviews.  Security and governance:Implement security best practices, access controls, and data governance policies.  Required skills and experienceTechnical proficiency:<ul type="disc"><li>Strong expertise in Azure Databricks and its components. </li><li>Proficiency in programming languages like PySpark and Python. </li><li>Strong SQL skills. </li></ul> Azure services: Experience with other Azure services like Azure Data Factory, Azure Data Lake Storage (ADLS), and Azure SQL Database<h4>Experience Level</h4>Senior Level

Birlasoft Limited

BI Developer

Senior Manager I, AnalyticsRazorpay was founded by<a href="https://www.linkedin.com/in/kumarshashank/" target="_blank"> Shashank Kumar</a> and<a href="https://www.linkedin.com/in/harshilmathur/" target="_blank"> Harshil Mathur</a> in 2014. Razorpay is building a new-age digital banking hub (Neobank) for businesses in India with the mission is to enable frictionless banking and payments experiences for businesses of all shapes and sizes. What started as a B2B payments company is processing billions of dollars of payments for lakhs of businesses across India. We are a full-stack financial services organisation, committed to helping Indian businesses with comprehensive and innovative payment and business banking solutions built over robust technology to address the entire length and breadth of the payment and banking journey for any business. Over the past year, we've disbursed loans worth millions of dollars in loans to thousands of businesses. In parallel, Razorpay is reimagining how businesses manage money by simplifying business banking (via<a href="https://razorpay.com/x/" target="_blank"> Razorpay X</a>) and enabling capital availability for businesses (via<a href="https://razorpay.com/capital/" target="_blank"> Razorpay Capital</a>). The RoleThe Analytics Team at Razorpay is a group of curious problem solvers who drive data-led decision-making across the organization. We work on high-impact business challenges, leveraging data mining, experimentation, statistical analysis, and machine learning where applicable.As a Senior Manager - Analytics, you will lead a team of analysts, partnering closely with Business, Marketing &amp; Product teams to drive insights, optimize strategies, and create measurable impact. This role is ideal for someone who thrives on solving ambiguous problems, mentoring high-performing teams, and using data to influence business outcomes.<h4>Key Responsibilities</h4><h4>1. Leadership &amp; People Management</h4><ul><li>Lead, mentor, and develop a team of analysts, fostering a culture of structured problem-solving and analytical excellence.</li><li>Set high performance benchmarks, create learning opportunities, and ensure a growth-oriented team environment.</li><li>Own stakeholder management and prioritization, balancing quick wins with long-term strategic impact.</li><li>Enable the team to work effectively with cross-functional partners, translating business needs into clear analytical roadmaps.</li></ul><h4>2. Business/Product Analytics</h4><ul><li>Build a deep understanding of the stakeholder functions - business/sales/marketing/product, and the levers to identify high-impact opportunities.</li><li>Define key metrics, ensure accurate tracking &amp; instrumentation, and work with engineering teams to improve data quality.</li><li>Conduct exploratory analyses and deep dives to uncover actionable insights that drive revenue, user growth, and engagement.</li><li>Work closely with sales and marketing teams to optimize campaign performance, measure ROI, and improve customer acquisition and retention.</li></ul><h4>3. Experimentation &amp; Data Strategy</h4><ul><li>Design and analyze A/B tests to measure the impact of new product features, campaigns, and strategic initiatives.</li><li>Ensure statistical rigor in analyses, experiment design, and hypothesis testing.</li><li>Drive self-serve analytics using tools like Tableau to empower stakeholder teams </li><li>Collaborate with data engineering teams to improve data pipeline efficiency, scalability, and governance.</li><li>Drive central analytics initiatives to improve the quality, efficiency, and scalability of analytics across teams.</li></ul> <h4>What We’re Looking For</h4><h4>Mandatory Qualifications</h4><ul><li>7+ years of experience in Analytics &amp; Data Science, with 4+ years in a Tech ecosystem (fintech, SaaS, e-commerce, or consumer tech preferred).</li><li>People &amp; senior stakeholder management experience – mentoring teams, and collaborating with senior stakeholders.</li><li>Expertise in SQL and Python for large-scale data analysis.</li><li>Experience working with structured, semi-structured, and unstructured data</li><li>Hands-on experience in A/B testing, hypothesis testing, and statistical analysis.</li><li>Proven ability to translate complex analytical findings into clear business recommendations and communicate them effectively.</li><li>Exposure to development of machine learning models for use cases like customer segmentation, churn prediction, or personalization.</li></ul>Razorpay believes in and follows an equal employment opportunity policy that doesn't discriminate on gender, religion, sexual orientation, colour, nationality, age, etc. We welcome interests and applications from all groups and communities across the globe.  Follow us on <a href="https://www.linkedin.com/company/razorpay/mycompany/" target="_blank">LinkedIn</a> &amp; <a href="https://twitter.com/Razorpay" target="_blank">Twitter</a><h4>Experience Level</h4>Senior Level

Razorpay Software Pvt Ltd

Senior Analyst

Alteryx & Python DeveloperAlteryx &amp; Python DeveloperAlteryx JD: Level: 2-4 Years (A-Con Level)Location: Preferably Pune or Bangalore. General:• Understand the requirements, design, develop and unit test the code• Take complete ownership of the requirements and deliver• Workflow should be properly unit tested before delivering• Create and maintain necessary artefacts• Participate in design and other team meetings• Cross train to avoid single point of failure Skills:• Expert level knowledge on Data transformation using Alteryx<ul><li>Proven experience as a Python Developer (2+ years preferred).</li><li>Proficiency in Python frameworks such as Numpy, Pandas, or PyPDF, PyPi Etc.</li><li>Experience with version control systems such as Git.</li><li>Understanding of databases and SQL, experience with PostgreSQL, MySQL, or similar databases.</li><li>Excellent communication and teamwork skills.</li><li>Strong problem-solving and debugging skills.edit</li></ul>• Expert level knowledge in using Alteryx Data Blending, and Advanced Analytics tools• Expert level knowledge in Data loading, Data parsing, Data preparation, filtering and reporting tools• Expert level knowledge in building Alteryx App using interface tools• Develop and implement ETL processes using Alteryx or SSIS tools, visualizations and SQL queries• Extensive knowledge in building and/or reviewing Alteryx Data models/solutions, and a strong understanding of ETL best practice.• Must be comfortable working with large datasets from Excel files, flat files or SQL data tables• Understanding in Business Intelligence and Reporting Tools – Power Pivot, Power View and Power BI• Working knowledge in Relational Database and Data Manipulation• The candidate should have in-depth knowledge in various stages of SDLC• Hands on experience in requirement gathering, analyzing, developing and testing a product/data model/project Responsibilities:• Understand high level requirements from Global team and work closely with product owners to plan and budget projects accordingly• Manage the assignment of specific responsibilities relating to project by coordinating with peers within the team for relevant roles and job functions• Interact with client, do requirement analysis, propose solution, estimation, listing down assumptions and risks• Create working proof of concept for projects• Must be good in reviewing client/peer build data models and evaluate the pros and cons• Basic exposure to Power BI or similar BI tool will be helpful• Good understanding in relational databases• Handle large database of in GBs with ability to write/edit/modify Alteryx Workflows and build reports using Alteryx Reporting• Analyze complex data sets and convert them into the information which drives business decisions• Express strong voice for data integrity and reporting quality utilizing best practices and industry standards• Experience writing technical documentation and user guides; providing end-user training and support• Driven and accountable self-starter, with ability to identify and communicate priorities, and work independently in a fast paced industry in a rapidly growing team B.Tech\BE<h4>Experience Level</h4>Senior Level

Kpmg India Services Llp

Junior Python Developer

Sr. Data Engineer Data ScienceReq ID: 342869 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.We are currently seeking a Sr. Data Engineer Data Science to join our team in Bangalore, Karnātaka (IN-KA), India (IN).<ul type="disc"><li>Description</li></ul>Responsibilities: Drive data engineering and tasks from demand management to design to implementation. Act as a trusted advisor to our team and proactively communicate operational status, issues &amp; risks in the projects to management. Lead internal consulting engagements, managing stakeholder expectations and monitor time to time and drive quality of deliverables. Align and appropriately use Mercedes-Benz IT project management tools, governance, processes, policies and methodologies. Qualifications and Skills: Mandatory• Bachelor’s or Master’s degree in Computer Science, Information Technology or equivalent work experience in the field of Data Engineering for 8+ years • Extensive working experience in Informatica • Expertise in Data Engineering technologies such as SQL, ETL, Pipeline Orchestration, Data Lineage, Data Documentation, etc.. • Good knowledge of data architecture and Data Modelling patterns • Experience in working as a Data Engineering Architect / Lead: About NTT DATANTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&amp;D to help organizations and society move confidently and sustainably into the digital future. Visit us at <a href="http://us.nttdata.com/en">us.nttdata.com</a>Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, <a href="https://us.nttdata.com/en/contact-us">https://us.nttdata.com/en/contact-us</a>.NTT DATA endeavors to make <a href="https://us.nttdata.com">https://us.nttdata.com</a> accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at <a href="https://us.nttdata.com/en/contact-us">https://us.nttdata.com/en/contact-us</a>. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click <a href="http://us.nttdata.com/en/compliance#eeos">here</a>. If you'd like more information on your EEO rights under the law, please click <a href="http://us.nttdata.com/en/compliance#know-your-rights">here</a>. For Pay Transparency information, please click<a href="http://us.nttdata.com/en/compliance#ppnp"> here</a>.<h4>Experience Level</h4>Senior Level

NTT DATA Global Delivery Services Ltd

Data Engineer

IN_Associate_ Palantir_D&A_Advisory_BangaloreLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelAssociateJob Description &amp; SummaryAt PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.Job Description &amp; Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.Responsibilities: · • Lead the development and deployment of AIML/generative AI models, managing full project lifecycles from conception to delivery. • Collaborate with senior stakeholders to identify strategic opportunities for AI applications, aligning them with business objectives. • Collaborate/Oversee teams of data scientists and engineers, providing guidance, mentorship, and ensuring high-quality deliverables. • Drive research and innovation in AI techniques and tools, fostering an environment of continuous improvement and learning. • Ensure compliance with data governance standards and ethical AI practices in all implementations. • Present AI insights and project progress to clients and internal leadership, adapting technical language to suit audience expertise levels.Mandatory skill sets:AI/ML, NLP, and Generative AI models,Preferred skill sets:Azure, Google CloudYears of experience required:3-5 YearsEducation qualification:Advanced degree (Master’s or Ph.D.) in Computer Science, Artificial Intelligence, Data Science, or related discipline.Education (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Bachelor Degree, Master DegreeDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsInformatica PowerCenterOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline, Data Preprocessing, Data Quality {+ 33 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsNot SpecifiedAvailable for Work Visa Sponsorship?NoGovernment Clearance Required?NoJob Posting End Date<h4>Experience Level</h4>Senior Level

PriceWaterhouseCoopers Pvt Ltd ( PWC )

Senior Associate

Analyst, Data Sourcing – Metadata (L08)Job Description:Role Title: Analyst, Data Sourcing – Metadata (L08)Company Overview : Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more.<ul><li>We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies.</li><li>Synchrony celebrates ~52% women talent.</li><li>We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being.</li><li>We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles</li></ul>Organizational Overview:Our Analytics organization comprises of data analysts who focus on enabling strategies to enhance customer and partner experience and optimize business performance through data management and development of full stack descriptive to prescriptive analytics solutions using cutting edge technologies thereby enabling business growth.Role Summary/Purpose: The Analyst, Data Sourcing - Metadata (Individual Contributor) role is located in the India Analytics Hub (IAH) as part of Synchrony’s enterprise Data Office. This role is responsible for supporting metadata management processes within Synchrony’s Public and Private cloud and on-prem environments within the Chief Data Office. This role focuses on assisting with metadata harvesting, maintaining data dictionaries, and supporting the tracking of data lineage. The analyst will collaborate closely with senior team members to ensure access to accurate, well-governed metadata for analytics and reporting.Key Responsibilities:<ul><li>Implement and maintain metadata management processes across Synchrony’s Public and Private cloud and on-prem environments, ensuring accurate integration with technical and business Metadata catalogs.</li><li>Work with the Data Architecture and Data Usage teams to track data lineage, traceability, and compliance, identifying and escalating metadata-related issues.</li><li>Document technical specifications, support solution design, participate in agile development, and release cycles for metadata initiatives.</li><li>Adhere to data management policies, track KPIs for Metadata effectiveness and assist in assessment of metadata risks to strengthen governance.</li><li>Maintain stable operations, troubleshoot metadata and lineage issues, and contribute to continuous process improvements to improve data accessibility.</li></ul>Required Skills &amp; Knowledge:<ul><li>Bachelor’s Degree, preferably in Engineering or Computer Science with more than 1 years’ hands-on Data Management experience or in lieu of a degree with more than 3 years’ experience.</li><li>Minimum of 1 years’ experience in data management, focusing on metadata management, data governance, or data lineage, with exposure to cloud environments (AWS, Azure, or Google Cloud) and on-premise infrastructure.</li><li>Basic understanding of metadata management concepts, familiarity with data cataloging tools (e.g., AWS Glue Data Catalog, AbInitio, Collibra), basic proficiency in data lineage tracking tools (e.g., Apache Atlas, AbInitio, Collibra), and understanding of data integration technologies (e.g., ETL, APIs, data pipelines).</li><li>Good communication and collaboration skills, strong analytical thinking and problem-solving abilities, ability to work independently and manage multiple tasks, and attention to detail.</li></ul>Desired Skills &amp; Knowledge:<ul><li>AWS certifications such as AWS Cloud practitioner, AWS Certified Data Analytics – Specialty</li></ul>Preferred Qualifications:<ul><li>Familiarity with hybrid cloud environments (combination of cloud and on-prem).</li><li>Skilled in Ab Initio Metahub development and support including importers, extractors, Metadata Hub database extensions, technical lineage, QueryIT, Ab Initio graph development, Ab Initio Control center and Express IT</li><li>Experience with harvesting technical lineage and producing lineage diagrams.</li><li>Familiarity with Unix, Linux, Stonebranch, and familiarity with database platforms such as Oracle and Hive</li><li>Basic knowledge of SQL and data query languages for managing and retrieving metadata.</li><li>Understanding of data governance frameworks (e.g., EDMC DCAM, GDPR compliance).</li><li>Familiarity with Collibra</li></ul>Eligibility Criteria: Bachelor’s Degree, preferably in Engineering or Computer Science with more than 1 years’ hands-on Data Management experience or in lieu of a degree with more than 3 years’ experience.Work Timings: This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details.For Internal Applicants:<ul><li>Understand the criteria or mandatory skills required for the role, before applying</li><li>Inform your manager and HRM before applying for any role on Workday</li><li>Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format)</li><li>Must not be any corrective action plan (First Formal/Final Formal, LPP)</li><li>L4 to L7 Employees who have completed 12 months in the organization and 12 months in current role and level are only eligible.</li><li>L8 Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible.</li><li>L04+ Employees can apply</li></ul>Grade/Level: 08Job Family Group:Information Technology<h4>Experience Level</h4>Mid Level

Synchrony

Data Analyst

IT Data & Analytics Senior Specialist- Web Analytics Engineer- Adobe Analytics- 7+ yrs.We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.   As a Web Analytics Engineer, you will be responsible for helping optimize SAP's digital web properties.  What you’ll build- You will be responsible for implementing, configuring, and managing Adobe Analytics and Launch for web and mobile applications, translating business requirements into technical solutions, ensuring data accuracy, and collaborating with cross-functional teams to optimize customer experiences and drive data-driven decisions.  Implementation &amp; Configuration: <ul><li>Collaborate with marketing, product, UX/UI, and development teams to translate business needs into technical requirements. </li></ul><ul><li>Design and implement custom technical solutions for web and mobile properties. </li></ul><ul><li>Ensure accurate data collection and reporting by implementing and configuring Adobe Analytics solutions. </li></ul><ul><li>Troubleshoot issues and resolve data discrepancies to ensure data accuracy. </li></ul><ul><li>Proactively address issues with data quality and tag implementation. </li></ul><ul><li>Strong analytical skills with a solid understanding of analytics concepts, including KPI definition, attribution modeling, and customer journey analysis. </li></ul>What you bring- <ul><li>Key skills include proficiency in Adobe Analytics and Adobe Launch, expertise in JavaScript, HTML, data modelling, and experience with troubleshooting and data analysis. </li></ul><ul><li>Several years of hands-on experience in Adobe Analytics implementation and customization, particularly using Adobe Launch for web and mobile. </li></ul><ul><li>Expertise in web technologies, including advanced JavaScript. Strong understanding of the Document Object Model (DOM) and web protocols. </li></ul><ul><li>Experience with APIs for data collection and reporting. </li></ul><ul><li>Relevant Adobe certifications (Adobe Certified Expert) or Adobe Analytics Developer certifications are preferred.  </li></ul><ul><li>Familiarity with Adobe Target, AEP, and Customer Journey Analytics </li></ul> Where you belong- You will be part of SAP's Corporate Process &amp; Information Technology (CPIT) organization, working in the Core Data &amp; Marketing Analytics team. The team is a global team, focused on delivering analytics solutions to support SAPs Demand Generation.  Bring out your best SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.   We win with inclusion SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com. For SAP employees: Only permanent roles are eligible for the <a href="https://one.int.sap/me@sap/jobs_and_hiring/employee_referral/region/0000/lang/en">SAP Employee Referral Program</a>, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity,  gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. Successful candidates might be required to undergo a background verification with an external vendor. AI Usage in the Recruitment ProcessFor information on the responsible use of AI in our recruitment process, please refer to our <a href="https://jobs.sap.com/content/Ethical_usage_of_AI_in_the_recruiting_process/?locale=en_US">Guidelines for Ethical Usage of AI in the Recruiting Process</a>. Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 437172  | Work Area: Information Technology  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations:  #LI-Hybrid <h4>Experience Level</h4>Senior Level

Sap India Private Limited

Website Developer

Senior Analytics SpecialistRazorpay was founded by<a href="https://www.linkedin.com/in/kumarshashank/" target="_blank"> Shashank Kumar</a> and<a href="https://www.linkedin.com/in/harshilmathur/" target="_blank"> Harshil Mathur</a> in 2014. Razorpay is building a new-age digital banking hub (Neobank) for businesses in India with the mission is to enable frictionless banking and payments experiences for businesses of all shapes and sizes. What started as a B2B payments company is processing billions of dollars of payments for lakhs of businesses across India. We are a full-stack financial services organisation, committed to helping Indian businesses with comprehensive and innovative payment and business banking solutions built over robust technology to address the entire length and breadth of the payment and banking journey for any business. Over the past year, we've disbursed loans worth millions of dollars in loans to thousands of businesses. In parallel, Razorpay is reimagining how businesses manage money by simplifying business banking (via<a href="https://razorpay.com/x/" target="_blank"> Razorpay X</a>) and enabling capital availability for businesses (via<a href="https://razorpay.com/capital/" target="_blank"> Razorpay Capital</a>). The Role:Senior Analytics Specialist will work with the central analytics team at Razorpay. This will give you an opportunity to work in a fast-paced environment aimed at creating a very high impact and to work with a diverse team of smart and hardworking professionals from various backgrounds. Some of the responsibilities include working with large, complex data sets, developing strong business and product understanding and closely being involved in the product life cycle.Roles and Responsibilities:<ul><li>Work with large, complex data sets to solve open-ended, high-impact business problems using data mining, experimentation, statistical analysis, and machine learning as appropriate.</li><li>Develop a deep understanding of the business and product to identify opportunities where GenAI and data-driven solutions can create impact; formulate hypotheses and validate them using rigorous analytical methods.</li><li>Build and deploy modular, production-grade Python code to support use cases including prompt engineering, LLM-powered tools, and process automation using GenAI APIs.</li><li>Design and optimize data pipelines and workflows to support both traditional analytics and GenAI model integrations.</li><li>Apply strong problem-solving skills and first-principles thinking to independently scope and structure analytical solutions, integrating the latest in GenAI and ML where relevant.</li><li>Drive automation and scalability of recurring insight generation, using GenAI or conventional approaches to reduce manual effort and enable self-serve insights where possible.</li><li>Maintain high standards in project management, including clear scoping, timeline ownership, and proactive communication.</li></ul> Mandatory Qualifications:<ul><li>Bachelor’s/Master’s degree in Engineering, Economics, Finance, Mathematics, Statistics, Computer Science, or a related quantitative field.</li><li>3+ years of high-quality hands-on experience in analytics, data science, or ML-based product development.</li><li>Proficiency in Python with experience writing modular, reusable code; prior experience integrating GenAI models via APIs (e.g., OpenAI, Claude, Gemini, etc.) and building LLM-powered applications.</li><li>Hands-on experience with SQL and working with structured, semi-structured, and unstructured data.</li><li>Experience designing or maintaining data pipelines and workflows (e.g., using Airflow, dbt, or equivalent).</li><li>Experience applying A/B testing, significance testing, and both supervised and unsupervised ML techniques.</li><li>Prior experience in consumer-tech or product-oriented organizations is a plus.</li><li>Strong communication and storytelling skills with the ability to influence stakeholders through data and logic.</li></ul>Good to have: <ul><li>MLOps &amp; Infrastructure: Build and maintain automated pipelines for model versioning and deployment (for example, using Datarobot, Airflow, Github).</li><li>Responsible AI: Set up checks for bias, fairness, and harmful outputs in all LLM-powered features.</li><li>Cloud &amp; Scaling: Deploy and scale Python services on AWS (Lambda, ECS/EKS).</li></ul>Razorpay believes in and follows an equal employment opportunity policy that doesn't discriminate on gender, religion, sexual orientation, colour, nationality, age, etc. We welcome interests and applications from all groups and communities across the globe.  Follow us on <a href="https://www.linkedin.com/company/razorpay/mycompany/" target="_blank">LinkedIn</a> &amp; <a href="https://twitter.com/Razorpay" target="_blank">Twitter</a><h4>Experience Level</h4>Senior Level

MTS- Fleet InsightsWe’re in an unbelievably exciting area of tech and are fundamentally reshaping the data storage industry. Here, you lead with innovative thinking, grow along with us, and join the smartest team in the industry.This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us.THE ROLEJoin the Fleet Insights Team to design and build large-scale, resilient systems that transform billions of telemetry and log events into actionable intelligence. You'll operate at the intersection of cloud-scale engineering and data science, driving the technical direction for services that detect, classify, and automate responses to customer-impacting issues. This high-leverage role directly impacts Pure's global fleet reliability and support model, requiring close collaboration with Platform, Support, and Product teams.<h4>WHAT YOU'LL DO</h4><ul><li>Architect and implement robust backend services for high-volume ingestion, extraction, and real-time classification of global telemetry logs.</li><li>Design, build, and optimize intelligent data pipelines and distributed systems (using technologies like AWS, SQS, Redis, and S3) to power automated Root Cause Analysis (RCA) and fleet intelligence.</li><li>Drive operational excellence by establishing and monitoring key SLOs, implementing robust observability (Datadog/PagerDuty), and continuously improving the reliability and cost-efficiency of production systems.</li><li>Own the technical direction for complex features, mentor engineers on best practices, and lead the creation of high-quality design documentation that shapes the team's long-term architecture.</li></ul><h4>WHAT YOU BRING</h4><ul><li>Expert-level proficiency in building and operating large-scale backend services using Python, Go, or Java in a production environment.</li><li>Deep understanding of distributed systems fundamentals, including service-oriented architecture, asynchronous workflows, and failure domain management.</li><li>Proven experience in data engineering, specifically building and optimizing log analytics systems or high-volume data pipelines using cloud-native tools (e.g., AWS services, Kafka, or equivalent).</li><li>Advanced data modeling and optimization skills for both SQL and NoSQL database systems (e.g., PostgreSQL, Snowflake), focused on performance and scalable storage.</li><li>Demonstrated ability to lead and drive complex, cross-functional technical initiatives from concept through deployment with high autonomy.</li><li>We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave.</li></ul>WHAT YOU CAN EXPECT FROM US:<ul><li>Pure Innovation: We celebrate those who think critically, like a challenge and aspire to be trailblazers.</li><li>Pure Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been Named Fortune's Best Large Workplaces in the Bay Area™, Fortune's Best Workplaces for Millennials™ and certified as a Great Place to Work®!</li><li>Pure Team: We build each other up and set aside ego for the greater good.</li></ul>And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources and company-sponsored team events. Check out <a href="http://purebenefits.com">purebenefits.com</a> for more information.ACCOMMODATIONS AND ACCESSIBILITY:Candidates with disabilities may request accommodations for all aspects of our hiring process. For more on this, contact us at <a href="mailto:TA-Ops@purestorage.com">TA-Ops@purestorage.com</a> if you’re invited to an interview.OUR COMMITMENT TO A STRONG AND INCLUSIVE TEAM:We’re forging a future where everyone finds their rightful place and where every voice matters. Where uniqueness isn’t just accepted but embraced. That’s why we are committed to fostering the growth and development of every person, cultivating a sense of community through our Employee Resource Groups and advocating for inclusive leadership. Pure is proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other characteristic legally protected by the laws of the jurisdiction in which you are being considered for hire. JOIN US AND BRING YOUR BEST.BRING YOUR BOLD.BRING YOUR FLASH.<h4>Experience Level</h4>Senior Level

Pure Storage India Pvt Ltd

Logistics Coordinator

IN_Manager_PMO__Data Analytics_ Advisory_ BangaloreLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelManagerJob Description &amp; SummaryAt PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.*Why PWCAt PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more <a href="https://www.pwc.in/about-us.html" rel="noopener noreferrer" target="_blank">about us</a>.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "Job Description &amp; Summary: A career within…. A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.Responsibilities:· FMCG or CPG Experience is must · MBA from tier-1 business college is must · Experience in working in D&amp;A or Digital transformation projects · Experience of deriving insights from large business data sets with Excel (PowerbI, Alteryx, SQL skills bonus) · Hands on experience eliciting requirements during real time collaborative sessions with stakeholders. · Must have excellent written and verbal communication skills, along with strong consulting skills · Experience in preparation of strategic project/product roadmap · Experience facilitating the development and documentation of use cases · Ability to present and explain project specific information to diverse types of audiences · Strong ability to define and document business and functional requirements, business process maps (""As-Is/To be"") flows and diagrams · Ability to research, classify, and prioritize business, user and functional requirements · Solid skills effectively managing multiple small to large projects in a cross-functional environment.Mandatory skill sets:· Experience in working in D&amp;A or Digital transformation projects · Experience of deriving insights from large business data sets with Excel (PowerbI, Alteryx, SQL skills bonus)Preferred skill sets:· MBA from tier-1 business collegeYears of experience required:3-6Education qualification:B.Tech / M.Tech / MBA / MCAEducation (if blank, degree and/or field of study not specified)Degrees/Field of Study required: Master of Business Administration, Bachelor of TechnologyDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required SkillsDigital Transformation, Structured Query Language (SQL)Optional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy {+ 29 more}Desired Languages (If blank, desired languages not specified)Travel RequirementsAvailable for Work Visa Sponsorship?Government Clearance Required?Job Posting End Date<h4>Experience Level</h4>Mid Level

Financial Analyst

Senior Data ScientistCloud migration is one of the most critical steps in modernizing enterprise Information Technology (IT), and Azure Migrate is at the forefront of enabling this transformation. Our team is innovating with Artificial Intelligence (AI) to reimagine how migrations are planned, executed, and optimized—bringing intelligence, adaptability, and precision to every customer journey. You’ll be part of a dynamic engineering team that blends deep platform expertise with cutting-edge AI capabilities to simplify complex migration scenarios and deliver seamless cloud adoption experiences. As a Data Scientist in Azure Migrate, you will develop intelligent models and data-driven capabilities that guide customers through their cloud migration journey with precision and confidence. You’ll work on designing predictive systems, uncovering actionable insights from large-scale telemetry, and building adaptive experiences that improve migration outcomes. Azure Migrate is a cornerstone of Azure’s growth strategy—empowering customers to move critical workloads to the cloud and driving long-term platform adoption. Your work will directly influence customer success, shape product direction, and contribute to one of Microsoft’s most impactful cloud services. Flexible work options are available, including partial work-from-home arrangements. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.<h4>Responsibilities</h4><ul><li>You will understand where to acquire the data necessary for your project plan and use querying, visualization, and reporting techniques to describe that data. You’ll also explore data for key attributes and collaborate with others to perform data science experiments using established methodologies.</li><li>You will understand modeling techniques, select the correct tool and approach to complete objectives, and evaluate the output for statistical and business significance. You’ll also analyze model performance and incorporate customer feedback into its evaluation.</li><li>You will understand the current state of the industry, including current trends, so that you can contribute to thought leadership best practices. You’ll also write efficient code for a specific feature, and develop a working expertise of proper debugging techniques.</li><li>You will understand each customer’s business goals and learn best practices for identifying growth opportunities. You’ll also examine projects through a customer-oriented focus, and manage customer expectations regarding project progress.</li></ul><h4>Qualifications</h4>Required Qualifications: <ul><li>Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science,<ul><li>OR related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science,</li><li>OR related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science,</li><li>OR related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>OR equivalent experience.</li></ul></li><li>1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience.</li></ul>Other Requirements: <ul><li>Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:  <ul><li>Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter. </li></ul></li></ul>Preferred Qualifications:  <ul><li>Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science,<ul><li>OR related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science,</li><li>OR related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science,</li><li>OR related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>OR equivalent experience.</li></ul></li></ul>Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the <a href="https://careers.microsoft.com/us/en/accommodationrequest" rel="noopener" target="_blank">Accommodation request form</a>. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work. #azmigrate<h4>Experience Level</h4>Senior Level

Microsoft Corporation India Pvt Ltd.

Data Scientist

Data Scientist II, TechAbout the RoleThe Core Analytics &amp; Science Team (CAS) is Uber's primary science organisation, covering both our main lines of business as well as the underlying platform technologies on which those businesses are built. We are a key part of Uber's cross-functional product development teams, helping to drive every stage of product development through data analytic, statistical, and algorithmic expertise. CAS owns the experience and algorithms powering Uber's global Mobility and Delivery products. We optimise and personalise the rider experience, target incentives and introduce customizations for routing and matching for products and use cases that go beyond the core Uber capabilities.---- What the Candidate Will Do ----<ol><li>Refine ambiguous questions and generate new hypotheses about the product through a deep understanding of the data, our customers, and our business</li><li>Design experiments and interpret the results to draw detailed and impactful conclusions.</li><li>Define how our teams measure success, by developing Key Performance Indicators and other users/business metrics, in close partnership with Product and other subject areas such as engineering, operations and marketing</li><li>Collaborate with applied scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines.</li><li>Develop data-driven business insights and work with cross-functional partners to find opportunities and recommend prioritisation of product, growth, and optimisation initiatives.</li></ol>---- Basic Qualifications ----<ol><li>Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields.</li><li>4+ years experience as a Product Analyst, Sr. Data Analyst, or other types of data analysis-focused functions</li><li>Excellent understanding of statistical principles backed by an academic foundation</li><li>Advanced SQL expertise</li><li>Experience with either Python or R for data analysis</li><li>Significant experience in setting up and evaluation of complex experiments</li><li>Proven track record to wrangle large datasets, extract insights from data, and summarise learnings/takeaways.</li><li>Experience with Excel and some dashboarding/data visualisation (i.e. Tableau, Mixpanel, Looker, or similar</li></ol>---- Preferred Qualifications ----<ol><li>Proven aptitude toward Data Storytelling and Root Cause Analysis using data</li><li>Ability to learn and adapt to new methodologies for data collection and analysis</li><li>Ability to deliver on tight timelines and prioritise multiple tasks while maintaining quality and detail</li><li>Ability to work in a self-guided manner</li><li>Ability to mentor, coach and develop junior team members</li><li>Superb communication and organisation skills</li></ol>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let’s move it forward, together.Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to <a href="mailto:accommodations@uber.com">accommodations@uber.com</a>.

Uber India Technology Private Limited

Scientist IIhe Core Analytics &amp; Science Team (CAS) is Uber's primary science organisation, covering both our main lines of business as well as the underlying platform technologies on which those businesses are built. We are a key part of Uber's cross-functional product development teams, helping to drive every stage of product development through data analytic, statistical, and algorithmic expertise. CAS owns the experience and algorithms powering Uber's global Mobility and Delivery products. We optimise and personalise the rider experience, target incentives and introduce customizations for routing and matching for products and use cases that go beyond the core Uber capabilities.---- What You Will Do ----Refine ambiguous questions and generate new hypotheses and design ML based solutions that benefit product through a deep understanding of the data, our customers, and our businessDeliver end-to-end solutions rather than algorithms, working closely with the engineers on the team to productionize, scale, and deploy models world-wide.Use statistical techniques to measure success, develop northstar metrics and KPIs to help provide a more rigorous data-driven approach in close partnership with Product and other subject areas such as engineering, operations and marketingDesign experiments and interpret the results to draw detailed and impactful conclusions.Collaborate with data scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines.Develop data-driven business insights and work with cross-functional partners to find opportunities and recommend prioritisation of product, growth, and optimisation initiatives.Present findings to senior leadership to drive business decisions---- What You Will Need ----<ol><li>Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields.</li><li>4+ years experience as a Data Scientist, Machine learning engineer, or other types of data science-focused functions</li><li>Knowledge of underlying mathematical foundations of machine learning, statistics, optimization, economics, and analytics</li><li>Hands-on experience building and deployment ML models</li><li>Ability to use a language like Python or R to work efficiently at scale with large data sets</li><li>Significant experience in setting up and evaluation of complex experiments</li><li>Experience with exploratory data analysis, statistical analysis and testing, and model development</li><li>Knowledge in modern machine learning techniques applicable to marketplace, platforms</li><li>Proficiency in technologies in one or more of the following: SQL, Spark, Hadoop</li></ol>---- Preferred Qualifications ----<ol><li>Advanced SQL expertise</li><li>Proven track record to wrangle large datasets, extract insights from data, and summarise learnings/takeaways.</li><li>Proven aptitude toward Data Storytelling and Root Cause Analysis using data</li><li>Advanced understanding of statistics, causal inference, and machine learning</li><li>Experience designing and analyzing large scale online experiments</li><li>Ability to deliver on tight timelines and prioritise multiple tasks while maintaining quality and detail</li><li>Ability to work in a self-guided manner</li><li>Ability to mentor, coach and develop junior team members</li><li>Superb communication and organisation skills</li></ol>Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let’s move it forward, together.Offices continue to be central to collaboration and Uber’s cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to <a href="mailto:accommodations@uber.com">accommodations@uber.com</a>.

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