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Product Data Scientist, Google Play Games<h4>Minimum qualifications:</h4><ul><li>Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.</li><li>5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL), or 2 years of experience with a Master's degree.</li></ul> <h4>Preferred qualifications:</h4><ul><li>Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.</li><li>5 years of experience working in a complex, matrixed organization.</li><li>5 years of experience preparing and delivering technical presentations to executive leadership.</li><li>3 years of experience in mobile advertising analytics.</li></ul><h4>About the job</h4>Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. <h4>Responsibilities</h4><ul><li>Work across Games Spend and business generation, Developer Success, and Games Ecosystem to further our understanding of the Games business at Play. </li><li>Partner with Games Data Science and Product Strategy team members, Play Games Product Management (PM), Engineering (Eng), Product Marketing Management (PMM), User Experience (UX) and other teams to understand user behavior, design/analyze experiments and drive product insights to improve user experiences. </li><li>Deliver effective presentations of findings and recommendations to multiple levels of leadership, shaping Play's investment in Games. </li><li>Develop a comprehensive understanding of the gaming industry.</li><li>Perform statistical analyses in R/Python, data extraction using SQL, and build pipelines and dashboards using Plx tools.</li></ul><h4>Experience Level</h4>Mid Level

Google India Pvt Ltd

Associate Product Manager

Data Science + Gen AI Professional We’re Hiring! Join our Dynamic Team at Straive - Gramener<ul><li>Skills - Gen AI, RAG, LLM, Model Development</li><li>Experience - 4+ Years</li></ul> Share your updated resume now.

Straive

Data Scientist

Data Governance Engineer Web Synergies is seeking a skilled Data Governance Engineer with expertise in data governance frameworks, data engineering, and scalable data pipelines. You will implement governance policies, enforce data standardisation, manage metadata, and optimise ETL/ELT pipelines. <ul><li>Key Skills: SQL, MDM, Data lineage tracking, Salesforce CRM, data integration platforms (Alteryx, Redpoint, Talend), cloud data platforms (AWS, Azure, GCP).</li><li>Experience: 6+ Years</li></ul> Share your resume now.

Web Synergies India Pvt. Ltd.

Data Engineer

Manager - DS-AI & Machine Learning Publicis Sapient is looking for an experienced Manager, Machine Learning Engineering to lead our talented team of AI and data science experts. In this influential role, you will be responsible for developing and implementing solutions that address complex business challenges across a wide range of industries. Your expertise will empower clients to revolutionize their businesses by harnessing the potential of advanced technology. As a Manager, Machine Learning Engineering, you will collaborate with cross-functional teams to strategize, develop, and deliver machine learning models tailored to meet specific business objectives. You will be responsible for overseeing the entire lifecycle of these models, from data preprocessing and algorithm selection to performance evaluation and seamless integration into production systems. Your Impact:As a Manager Data Science specialising in Generative AI, you will:<ul><li>Lead AI-Driven Innovations: Drive the development of state-of-the-art AI and machine learning solutions that transform business strategies and deliver exceptional customer experiences.</li><li>Strategic Collaboration:&nbsp;Work closely with cross-functional teams, including product managers, data engineers, and business stakeholders, to define and execute data-driven solutions aligned with organizational goals.</li><li>Foster a High-Performance Team: Build, mentor, and lead a team of talented data scientists, cultivating a culture of innovation, collaboration, and continuous learning.</li><li>Deliver Business Impact: Translate complex business problems into AI/ML solutions by leveraging advanced techniques such as generative AI, deep learning, and NLP, ensuring measurable outcomes.</li><li>Optimize AI Pipelines: Oversee the development and deployment of scalable, efficient, and robust machine learning pipelines that address latency, responsiveness, and real-time data processing challenges.</li><li>Customize AI Models: Direct the customization and fine-tuning of AI models, including large language models (LLMs) and other generative AI technologies, to meet domain-specific requirements.</li><li>Promote Data-Driven Decision-Making: Advocate for data-centric approaches across teams, ensuring data quality, integrity, and readiness to maximize model performance and business impact.</li><li>Develop Intelligent AI Agents: Architect and refine AI agents that solve complex business challenges, leveraging LLMs to deliver personalized, user-centric solutions.</li><li>Advance Generative AI Applications: Innovate with cutting-edge generative AI models such as LLM, VLM, GANs, and VAEs to create tailored applications for dynamic content creation, predictive analytics, and enhanced automation.</li><li>Scale AI with Cloud Technology: Deploy and scale LLM-based solutions on platforms like GCP, AWS&nbsp;and Azure to address real-world business problems with precision and efficiency.</li><li>Stay at the Cutting Edge: Keep up-to-date with emerging trends and innovations in AI and data science, identifying opportunities to incorporate the latest advancements into projects.</li></ul> Qualification: 8-14 Years with 2 Yrs Gen AI&nbsp;Your Skills &amp; Experience:<ul><li>Fine tuning experience of Large Language models (LLMs, VLLMs, or Vision model)</li><li>Distributed training or inference experience with frameworks like Ray, vllm, openllm, bentoML etc.</li><li>Experience with frameworks like like LangChain, Llamaindex for building maintainable, scalable Generative AI applications.</li><li>Deployment experience or optimized hosting experience of Large Language models (LLMs, VLLMs, or Vision model)</li><li>Experience working with any Vector database like Milvus, FAISS, ChromaDB etc</li><li>Experience developing agents with frameworks like LangGraph, CrewAI, Autogen etc</li><li>Experience with prompt engineering</li><li>Keeping up with latest market trends</li><li>Experience working with open source large language models from HuggingFace</li><li>Experience working with atleast one public cloud provider such as Azure, AWS or GCP</li><li>Experience working with container technology like Docker, ECS etc</li><li>Experience with DevOps practices and CI/CD pipelines for data solutions</li><li>Experience in deploying solutions to production with Kubernetes or OpenShift</li><li>Experience with managing ML workflows with MLFlow or KubeFlow.</li></ul>

Publicis Sapient Consulting Pvt Ltd

Business Intelligence Engineer

Data Science Delivery Lead MathCo is looking for a highly experienced Data Science Delivery Lead with a strong focus on Business Intelligence (BI) programs to join our team in Bangalore.This leadership role demands seasoned analytics professional capable of driving end-to-end delivery of BI and advanced analytics solutions across multiple domains, including BFSI, Technology, Retail and Healthcare. Key Responsibilities:- Lead and manage Business Intelligence (BI) programs with a strong emphasis on strategy, architecture, and deployment- Oversee development and implementation of scalable BI solutions leveraging tools such as Microsoft Power BI- Lead end-to-end delivery of analytical solutions, from design to deployment.- Collaborate closely with clients to understand business challenges and deliver actionable insights.- Oversee project execution, capability development and ensure operational excellence.- Build and nurture high-performing data science teams. Requirements:- 9 to 14 years of experience in Analytics and Strategy- Proven experience in solution architecture, consulting and program management- Strong client management and stakeholder engagement skills Core Competencies:- Statistical Modeling- Business Intelligence- Business Analytics- Program Management- Microsoft Power BI Share your updated resume now.

MathCo

Data Science Intern

Assistant ManagerAssistant Manager, Data AnalysisJOB SUMMARY: The Assistant Manager, Data Analysis is responsible for ensuring accuracy and quality in data and presenting data in such ways that assists with the decision-making process. This role is part of Global Data Strategy &amp; Operations team and responsible for data onboarding, data analysis, data validation. You will be working closely with the development team and data consumers on delivering data related projects as well as providing operational support. The successful candidate will be a subject matter expert in Data, and work with stakeholders to develop and solution business and technical requirements. JOB RESPONSIBILITIES Service Delivery <ul><li>Data sourcing activities including documenting data interfaces, analyzing and interpreting data, and assistance with data modeling.</li><li>Ability to develop business and technical requirement documents</li><li>Document complex data mappings</li><li>Design and execute Data Quality checks</li><li>Assist with project management and tracking; regular meetings with PMs and developers, create test plans, project plans, implementation plans and track project through SDLC life cycle</li><li>Working with developers to assure specifications are understood and followed</li><li>Supporting quality assurance and user acceptance testing</li><li>Provide post production support for both maintenance and enhancement solutions</li><li>Ability to communicate technically complex IT concepts to business clients. Ability to multi-task easily and juggle priorities in a fast-paced environment.</li></ul> EDUCATION/EXPERIENCE<ul><li>7-10 years of relevant work and project management experience.</li><li>Bachelor's degree (Computer Science, Engineering, or Mathematics) from an accredited college or university with experience involving data analysis, modeling and design is preferred</li><li>Data Warehouse or Business Intelligence experience including strong SQL skills to query SQL databases, experience with data sourcing, data integration and data quality projects; Experience with Data analysis tools like Alteryx is a plus. Experience with Salesforce Sales and/or Marketing cloud is a plus.</li><li>Experience in data integration and data quality projects. Expertise in SDLC full project life cycle. Experience with Data sourcing, documenting complex data mappings. Experience with data migrations between applications is a plus</li><li>Strong verbal/written communication, problem solving, analytical and independent judgment skills to support an environment driven by customer service and teamwork. Ability to positively influence, mentor and be a credible source of knowledge to less experienced team members</li><li>Ability to work with the business to understand available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security; provide assistance, and resolve problems, using solid problem-solving skills</li><li>Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy</li></ul>  Technical Competencies<ul><li>Data Gathering and Analysis</li><li>Understands and analyzes information.</li><li>Uses knowledge of data, systems, and their intersections to provide workforce information from the most applicable data source/s in response to standard or ad hoc requests and in support of data quality checks.</li><li>Performs historical trending and projection analyses as appropriate for strategic needs.</li><li>Meets with customers to understand their needs or concerns in order to ensure data, analytics, and reporting are used appropriately.</li><li>Leverages external networks to ensure all relevant information is integrated into analysis and interpretation of data.</li><li>Conducts ad hoc and standard analyses in response to customer needs, incorporating knowledge of parallel, ongoing projects into analysis for customers.</li><li>Analyzes data in order to draw conclusions and identify cause and effect relationships to support leadership decisions, recommend a course of action, or solve organizational issues.</li><li>Uses knowledge and understanding of the organizational context to recognize data inaccuracies and to ensure consistency and the highest quality of data and analyses.</li><li>Strong SQL skills to query SQL databases</li></ul> <ul><li>Information System Administration</li><li>Analyzes, proposes and/or develops strategic plans for the development, enhancement, maintenance, and future development of information systems and/or automated workflows based on business requirements.</li><li>Develops directives necessary to implement changes that impact agency-wide resource requirements. Analyzes system or workflow changes necessary to comply with new business and functional requirements.</li><li>Recommends efficient and effective automated systems or automated workflow approaches for a variety of uses.</li><li>Provides technical direction and expertise for Business Intelligence projects. Owns and directly shapes the BI strategy and architecture best practices, standards, and principles in conjunction with DW lifecycle methodology.</li></ul> <ul><li>Problem Solving</li><li>You are known as an expert in this area. You can provide guidance, troubleshoot, and answer questions related to this area of expertise and the field where the skill is used.</li><li>You have demonstrated consistent excellence in applying this competency across multiple projects and/or organizations.</li><li>You are considered the “go to” person in this area within NIH and/or outside organizations.</li><li>You create new applications for and/or lead the development of reference and resource materials for this competency.</li><li>You can diagram or explain the relevant process elements and issues in relation to organizational issues and trends in sufficient detail during discussions and presentations, to foster a greater understanding among internal and external colleagues and constituents.</li></ul><ul><li>Experiece in Data Analysis, SQL, Alteryx/PowerBI</li></ul><ul><li>Experiece in Data Analysis, SQL, Alteryx/PowerBI</li></ul><h4>Experience Level</h4>Mid Level

Kpmg India Services Llp

Business Data Analyst

Process Data Engineer II – Product DevelopmentWorking with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: <a href="https://careers.bms.com/working-with-us" rel="noopener noreferrer" target="_blank">careers.bms.com/working-with-us</a>.<h4>Roles &amp; Responsibilities</h4><ul><li>Partner with PD scientists and IT team members to develop and implement data engineering solutions that deliver high-quality, contextualized datasets as part of an agile team.</li><li>Define data requirements, gather and mine large scale structured and unstructured data, and validate data by running various data tools in the Big Data Environment to enable use case development.</li><li>Collaborate with scientists and engineers to identify data sources and locations, understand data requirements and challenges, and provide data solutions.</li><li>Collaborate proactively with IT teams to develop and enhance data infrastructure, data pipelines, and analytical tools for efficient data collection, processing, and analysis.</li><li>Lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering in order to improve productivity.</li><li>Communicate and translate between life science experts and data engineers.</li><li>Provide training, guidance, and mentorship to junior analysts and team members when required.</li><li>Work hours that provide sufficient overlap with standard east coast US working hours.</li></ul><h4>Skills and Competencies</h4><ul><li>Excellent interpersonal, collaborative, team-building, and communication skills to ensure effective collaborations within matrix teams.</li><li>Ability to work with diverse teams across organizational lines and structures.</li><li>Proven ability to explain complex analyses and outcomes to both technical and non-technical stakeholders.</li></ul><h4>Experience</h4><ul><li>Bachelor's or Master's degree in analytical, engineering, or in a relevant field such as chemical engineering, or life sciences, with an interest or minor in data science/computer science.</li><li>Proven experience (typically 3-5 years) in a data and analytics role, including direct development experience.</li><li>Experience working with large datasets, data visualization tools, statistical software packages and platforms (specifically R, Python, advanced SQL, Domino, AWS, GitHub, dbt, Tableau).</li><li>Experience with biotech product development and/or manufacturing operations is a significant plus.</li><li>Experience in the biopharma industry a plus.</li></ul>If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.Uniquely Interesting Work, Life-changing Careers With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.On-site ProtocolBMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to <a href="mailto:adastaffingsupport@bms.com" rel="noopener noreferrer" target="_blank">adastaffingsupport@bms.com</a>. Visit <a href="https://careers.bms.com/eeo-accessibility" rel="noopener noreferrer" target="_blank">careers.bms.com/</a><a href="https://careers.bms.com/eeo-accessibility" rel="noopener noreferrer" target="_blank">eeo</a><a href="https://careers.bms.com/eeo-accessibility" rel="noopener noreferrer" target="_blank">-accessibility</a> to access our complete Equal Employment Opportunity statement.BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: <a href="https://careers.bms.com/california-residents/" rel="noopener noreferrer" target="_blank">https://careers.bms.com/california-residents/</a>Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.<h4>Experience Level</h4>Mid Level

Bristol-Myers Squibb India Pvt Ltd

IN_Senior Associate _GCP Cloud data engineer _D&A_Advisory_ PuneLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelSenior AssociateJob 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.Responsibilities:· Design, develop, and deploy modular Google Cloud-based systems including Virtual Machine, K8s clusters, Cloud SQL, Shared VPC, IAM, Security Services and others.· Develop, manage and improve GCP infrastructure using GCP CI/CD such as Github, CloudBuild, Ansible, Jenkins, CloudBuild. ·· Develop and maintain cloud solutions in accordance with best practices using IaaC(Terraform). ·· Ensure efficient functioning of data storage and process functions in accordance with company security policies and best practices in cloud security ·· Identify, analyze, and resolve infrastructure vulnerabilities and application deployment issues ·· Regularly review existing systems and make recommendations for improvements ·· Interact with clients, provide cloud support, and make recommendations based on client needsMandatory skill sets:· Monitoring and analyzing infrastructure using services such as Cloud monitoring, Prometheus and Grafana.Migration and Enterprise Landing Zone setup experience using Migrate for Compute Engine and TerraformPreferred skill sets:GCP, Hashicorp, and CKAD certifications preferred.Years of experience required:4 – 7 yrsEducation qualification:B.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 SkillsGood Clinical Practice (GCP), HashiCorp VaultOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, 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, Inclusion, Industry Trend Analysis {+ 16 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>Mid Level

PriceWaterhouseCoopers Pvt Ltd ( PWC )

Senior Associate

Data Science and AI/ML Developer - AssociateYou are a strategic thinker passionate about driving solutions in Data Science and AI/ML Developer. You have found the right team.As a Data Science and AI/ML Developer – Associate in our Transformation and Analytics, you will spend each day defining, refining and delivering set goals for our firm.Job Responsibilities:<ul><li>Collaborate with internal stakeholders to identify business needs and develop NLP/ML solutions that address client requirements and drive transformation.</li><li>Scope, prioritize, and coordinate activities with product owners; partner with product teams to identify strategic solutions.</li><li>Apply large language models (LLMs), machine learning (ML) techniques, and statistical analysis to enhance decision-making and improve workflow efficiency across investment functions, client services, and operational processes.</li><li>Design and implement LLM projects using GPT models, ensuring alignment with business objectives.</li><li>Utilize Data Bricks and AWS infrastructure to build, deploy, and scale machine learning models in production environments.</li><li>Collect and curate datasets for model training and evaluation, ensuring data quality and integrity through effective validation and testing processes.</li><li>Perform experiments using different model architectures and hyperparameters; determine appropriate objective functions and evaluation metrics; run statistical analysis of results.</li><li>Demonstrate proficiency in visualization and storytelling to create impactful business insights.</li><li>Monitor and improve model performance through feedback and active learning. Deliver written, visual, and oral presentations of modeling results to business and technical stakeholders.</li><li>Stay up-to-date with the latest research in LLM, ML, and data science, identifying and leveraging emerging techniques for ongoing enhancement.</li><li>Transform model outputs into formats understandable to end users through visualization, clear tables, and thoughtful presentations; assist technical and non-technical users in leveraging and interpreting the analysis.</li></ul>Required qualifications, capabilities and skills<ul><li>Self-starter, attention to details and results orientated, able to work under minimal guidance.</li><li>Uses pertinent data and facts to identify and solve a range of problems within area of expertise.</li><li>Proficiency in Python, R, and machine learning frameworks like TensorFlow or PyTorch is essential.</li><li>Having mandatory experience in Statistics  along with  Exploratory and regression data analysis</li><li>Strong proficiency in LLM,  concept of vectorization/ vector stores, database optimization, performance tuning, agentic AI LLM, RAG based  agents. Proficient in building evaluation metrics.</li><li>Experience with LLM and other related frameworks like Langchain, LLamaIndex, AutoGen, ReAct , GPT and  Claude models, </li><li>Experience in  model development using Machine Learning techniques [Data Analysis /Model Tuning].</li><li>Bachelor’s Degree in, Data science, Computer Science, or Engineering.  Different field of study, with significant professional experience in AI oriented Analytics and BI development, is acceptable. </li><li>Experience Required: 5+ years in Data related projects and 3+ years in Data Science/AI</li><li>Good communication and analytical skills</li></ul>Preferred qualifications, capabilities and skills<ul><li>Exposure for  complex ETL development is an added advantage.</li><li>Knowledge on CI/CD pipelines. </li><li>Preferred data querying  skills on  SQL (Snowflake, Databricks) and , Python (packages and libraries like Scikit , Kera’s, Pandas, PySpark/PySQL)</li><li>Exposure to low-code BI tools like Alteryx and Tableau.</li></ul> JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our <a href="https://careers.jpmorgan.com/us/en/how-we-hire/faqs" rel="nofollow" target="_blank">FAQs</a> for more information about requesting an accommodation.<h4>Experience Level</h4>Mid Level

JP Morgan Services India Pvt Ltd

Data Science ManagerKEY RESPONSIBILITIES<ul><li>Lead, manage, and mentor a high-performing team of data scientists, ensuring excellence in technical execution and professional development</li><li>Define, implement, and refine the AI and ML strategy and roadmap, aligning with the organization's long-term goals and evolving business needs</li><li>Drive the development and deployment of state-of-the-art AI methodologies, leveraging the latest advancements in machine learning, artificial intelligence, and computational techniques</li><li>Present complex, data-driven insights and strategic recommendations to stakeholders, driving high-level decision-making</li><li>Develop and nurture relationships with business partners and stakeholders across the organization, ensuring effective collaboration and alignment on AI-driven projects</li></ul><ul><li>Ensure the scalability, reliability, and robustness of AI solutions through advanced model development, deployment, and monitoring practices</li><li>Proactively manage project risks and mitigate potential issues, ensuring successful delivery and alignment with strategic goals</li></ul><ul><li>Conduct pioneering research in emerging areas, integrating new technologies and methodologies to solve complex business problems</li></ul>Pre-Requisites<ul><li>12+ years of experience in AI, Data Science or a related field, with a proven track record of leading and executing high-impact, technically complex projects</li><li>Extensive expertise in advanced machine learning algorithms, deep learning, statistical modeling, and AI, with hands-on experience in cutting-edge techniques</li><li>Mastery of programming languages such as Python, with extensive experience in advanced machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Keras, LangChain, Transformers, OpenAI SDK, or Hugging Face)</li><li>Advanced skills in SQL and hands-on experience with big data technologies</li><li>Deep understanding of LLMs, prompt engineering, and transformer architectures</li><li>Prior experience leading Generative AI solutions utilizing LLMs such as GPT, Claude, and LLaMA</li><li>Demonstrated expertise in MLOps practices, including model deployment, monitoring, and optimization at scale</li><li>Outstanding communication skills, both written and verbal, with the capability to convey complex technical concepts to diverse audiences and influence executive decision-making</li><li>Ability to manage and deliver multiple high-stakes projects simultaneously, with a deep understanding of how to align data science initiatives with overarching business objectives and strategies</li><li>(Preferred) Master’s degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, Marketing Research</li></ul><h4>Experience Level</h4>Senior Level

Ecolab Food Safety & Hygiene Solutions Private Limited

Snowflake Architect <ul><li>Expertise: Snowflake Data Warehouse, SQL &amp; Query Optimization, ETL/ELT, Cloud Platforms (AWS/Azure/GCP), Data Modeling &amp; Performance Tuning</li><li>Experience: 10+ Years</li></ul> Share your resume now.

Bizmetric

Architect

Senior Analyst , Business AnalyticsRelocation Assistance Offered Within Country Job Number #168757 - Mumbai, Maharashtra, India Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Title: Specialist, Business Analytics   Job Summary (purpose) The candidate will support the Colgate Business Teams in Marketing and Insights functions across the globe. The role requires a person to have understanding of Internal &amp; external data (Syndicated Market Data, Point of Sales etc.) and ability to provide Insights based Services &amp; solutions. The Person should have abilities to build insights from large External and Internal datasets. An Analytical problem solver with focus on Business Intelligence and Insights. Ability to work in a collaborative and customer focused (proactive and Responsive to Business needs). Excellent written and verbal communication skills.   Main Responsibilities <ul><li dir="ltr">Build Insights and Competition Intelligence solutions </li><li dir="ltr">Work on Connected data solutions, building automated insights and reports</li><li dir="ltr">Work on different datasets &amp; systems (Marketing, Customers, Product masters, Finance, Digital, Point of Sales) and link the business rationales to develop &amp; support Insights and Analytics</li><li dir="ltr">Build &amp; support standard Business evaluation Trackers &amp; Dashboards per agreed to SLAs and respond to ad hoc requests for reporting and first level analysis</li><li dir="ltr">Data Quality and Sanity is essential so validating the data, trackers and dashboards is prime</li><li dir="ltr">Communicate and coordinate with Divisions and subsidiaries as part of investigation and resolution of discrepancies</li><li dir="ltr">Engage with Business teams in Corporate, Divisions, Hub (Cluster of Countries) and countries to understand business requirements and collaborate on solutions</li><li dir="ltr">Work with Internal Analytics teams &amp; Information technology teams to learn and advance on developing sustainable and standard reporting trackers</li><li dir="ltr">Partner with external data vendors to ensure timely data availability with appropriate data sanity </li><li dir="ltr">With constantly evolving business environment, you will find out different ways to tackle the business problem through Analytical solutions (Data transformation, Data Visualization, Data Insights)</li></ul>   Required Qualifications:(Education, Knowledge required, Skills (language &amp; other) etc) <ul><li dir="ltr">Graduate in Engineering/Sciences/Statistics , MBA  </li><li dir="ltr">Experience with third-party data i.e. syndicated market data (Nielsen, Kantar, IRI) Point of Sales, etc.</li><li dir="ltr">Minimum 3-4 years experience working in Data Insights / Analytics role</li><li dir="ltr">Should have worked in a client facing / stakeholder management role to understand business needs and draw hypothesis</li><li dir="ltr">Working knowledge of consumer packaged goods industry</li><li dir="ltr">Knowledge of Data Transformation tools - R/Python, Snowflake, SQL</li><li dir="ltr">Working knowledge of visualization tools like DOMO, Lookerstudio, Sigma</li><li dir="ltr">Ability to Read , Analyze and Visualize data </li><li dir="ltr">Effective Verbal &amp; Written Communication for Business engagement</li><li dir="ltr">Excellent presentation/visualization skills</li></ul>   Preferred Qualifications <ul><li dir="ltr">Created/worked on automated Insights solution </li><li dir="ltr">Worked on Competition Intelligence solutions</li><li dir="ltr">Understanding of Colgate’s processes, and tools supporting analytics (for internal candidates)</li><li dir="ltr">Willingness and ability to experiment with new tools and techniques </li><li dir="ltr">Good facilitation and project management skills</li></ul> Our Commitment to Inclusion Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives  to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this <a href="https://docs.google.com/forms/d/e/1FAIpQLSdaxk_eF4utznQoVHlxmL9jVFJbOkM4Oe5CAdKOg-h9EPdLfg/viewform" target="_blank">request form</a> should you require accommodation. #LI-Hybrid<h4>Experience Level</h4>Senior Level

Colgate - Palmolive India Ltd

Senior Business Analyst

Bigdata TesterMust Have:<ul><li>5+ years of strong experience on Bigdata, HDFS, Hive</li><li>3+ years of strong experience on ETL testing,</li><li>3+ years of strong experience on SQL</li><li>2+ years of experience on health care domain</li></ul> Experience: 6+ Years Share your updated resume now.

SP Software Pvt Ltd

Software Tester

Oracle Cloud Infrastructure (OCI) - Principal Member of Technical Staff/Solutions Architect - Product Development – Gen AI and AI Solutions EngineeringOracle Cloud Infrastructure blends the speed of a startup with the scale of an enterprise leader. Our Generative AI Solutions team builds advanced AI solutions that run on powerful cloud infrastructure tackling real-world, global challenges. As part of this team, you'll contribute to large-scale cloud solutions utilizing cutting-edge machine learning and Generative AI technologies, aimed at addressing complex global challenges.Join our OCI Gen-AI Solutions team to build cutting-edge AI applications that tackle global challenges. We’re seeking an experienced Principal Machine Learning Engineer (IC4) to design, develop, and deploy customized Generative AI solutions for strategic customers focusing on Agentic solutions and Retrieval Augmented Generation (RAG). You’ll work closely with applied scientists and product managers to turn innovation into real-world impact.In this role, you will:<ul><li>Design, build, and deploy cutting-edge machine learning and generative AI solutions, with a focus on Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), and large-scale search.</li><li>Collaborate with scientists, engineers, and product teams to turn complex problems into scalable, cloud-ready AI solutions for enterprises.</li><li>Run experiments, explore new algorithms, and push the boundaries of AI to optimize performance, customer experience, and business outcomes.</li><li>Ensure ethical and responsible AI practices in all solutions.</li></ul>We’re looking for a Principal Machine Learning Engineer with deep expertise in applied ML/AI, hands-on experience building production-grade solutions, and the creativity to innovate at the intersection of AI and enterprise cloud.As part of the OCI Gen AI Solutions Engineering for strategic customers team, you will be responsible for developing innovative Agentic workflows and solutions for our strategic customers. As a Principal member of the technical staff, you'll be part of the development of advanced Gen AI solutions using the latest ML technologies combined with Oracle's cloud expertise. Your work will significantly impact sectors like financial services, telecom, healthcare, and code generation by creating distributed, scalable, high-performance solutions for strategic customers.<ul><li>Work directly with key customers and accompany them on their Gen AI journey – understanding their requirements, help them envision and design and build the right solutions and work together with their ML engineering to remove blockers.</li><li>Design and implement agentic workflows using diverse frameworks, incorporating prompt engineering to optimize performance.</li><li>You will dive deep into model structure to optimize model performance and scalability. </li><li>You will build state of art solutions with brand new technologies in this fast-evolving area. </li><li>You will configure large scale OpenSearch clusters, setting up data ingestion pipelines to get the data into the OpenSearch.</li><li>You will diagnose, troubleshoot, and resolve issues in AI model training and serving. You may also perform other duties as assigned.</li><li>Build re-usable solution patterns and reference solutions / showcases that can apply across multiple customers.</li><li>Be an enthusiastic, self-motivated, and a great collaborator.</li><li>Be our product evangelist - engage directly with customers and partners, participate and present in external events and conferences, etc.</li></ul>Qualifications<ul><li>Bachelor’s or Master’s degree in Computer Science or related technical field, with 10+ years of experience in AI, ML, or data-driven solution development.</li><li>Proven track record designing, building, and deploying scalable AI/ML solutions in production environments.</li><li>Deep expertise in Large Language Models (LLMs), Generative AI, Agentic solutions, and advanced ML techniques (fine-tuning, prompt engineering, model optimization).</li><li>Strong experience with OpenSearch, vector databases, data ingestion pipelines, and large-scale search optimization.</li><li>Skilled in diagnosing, troubleshooting, and resolving issues in AI model training and serving.</li><li>Hands-on experience with MCP, NLP, NLU, RAG architectures, Agents, and modern AI frameworks (e.g., LangChain, LangGraph LlamaIndex).</li><li>Proficient in Python and shell scripting, with familiarity in deep learning frameworks (PyTorch, TensorFlow, JAX, or Transformers).</li><li>Experience with popular model training and serving frameworks like KServe, KubeFlow, Triton etc.</li><li>Excellent communication skills for translating complex technical concepts into clear proposals, designs, and presentations.</li><li>Collaborative mindset with experience working closely with product managers, engineers, and customers.</li><li>Ability to mentor and guide junior data scientists or ML engineers.</li><li>Experience acting as a technical evangelist, presenting at conferences, customer briefings, or industry events.</li></ul>Career Level - IC4As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing <a href="mailto:accommodation-request_mb@oracle.com" rel="nofollow" target="_blank">accommodation-request_mb@oracle.com</a> or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. <h4>Experience Level</h4>Senior Level

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