Jobs

Data Science & Analytics

Anywhere in India

Agra

Ahmedabad

Ahmednagar

Ajmer

Aligarh

Amritsar

Asansol

Aurangabad

Bareilly

Belagavi

Bengaluru

Bhavnagar

Bhilai

Bhopal

Bhubaneswar

Bikaner

Chandigarh

Chennai

Coimbatore

Cuttack

Dehradun

Delhi-NCR

Dhanbad

Gorakhpur

Guntur

Guwahati

Gwalior

Hubli

Hyderabad

Indore

Jabalpur

Jaipur

Jalandhar

Jamnagar

Jamshedpur

Jodhpur

Kannur

Kanpur

Kochi

Kolhapur

Kolkata

Kota

Lucknow

Ludhiana

Madurai

Malappuram

Mangalore

Meerut

Mumbai

Mysuru

Nagpur

Nashik

Panipat

Patna

Prayagraj

Puducherry

Pune

Raipur

Rajkot

Ranchi

Saharanpur

Salem

Solapur

Surat

Thiruvananthapuram

Trichy

Udaipur

Ujjain

Vadodara

Varanasi

Vijayawada

Visakhapatnam

Warangal

Admin / Back Office / Computer Operator

Advertising / Communication

Aviation & Aerospace

Banking / Insurance / Financial Services

Beauty, Fitness & Personal Care

Construction & Site Engineering

Consulting

Content, Editorial & Journalism

CSR & Social Service

Customer Support

Delivery / Driver / Logistics

Domestic Worker

Energy & Mining

Engineering - Hardware & Networks

Environment Health & Safety

Facility Management

Finance & Accounting

Healthcare / Doctor / Hospital Staff

Human Resources

IT & Information Security

Legal & Regulatory

Maintenance Services

Marketing / Brand / Digital Marketing

Media Production & Entertainment

Operations

Production / Manufacturing / Engineering

Product Management

Project & Program Management

Purchase & Supply Chain

Quality Assurance

Research & Development

Restaurant / Hospitality / Tourism

Retail & eCommerce

Risk Management & Compliance

Sales & BD

Security Services

Shipping & Maritime

Software Engineering

Strategic & Top Management

Tailoring, Apparel & Home Furnishing

Teaching & Training

UX, Design & Architecture

Popular Job Localities

Popular Job Companies

Popular Job Departments

Jobs in Top Cities

Popular Job Type

Start Hiring

Business Intelligence Delivery Lead, Data Products, YouTube<h4>Minimum qualifications:</h4><ul><li>Bachelor’s degree or equivalent practical experience. </li><li>5 years of experience in system architecture and code comprehension reading in one programming language (Java, C++, Python, etc.).</li><li>5 years of experience troubleshooting technical issues for internal/external partners or customers.</li><li>5 years of experience with data analysis and SQL/MySQL.</li><li>5 years of experience in analytics and analytics development.</li><li>Experience with relational databases including SQL queries, database definition, and schema design. Experience with business intelligence and data visualization tools including Looker, Tableau, or PowerBI.</li></ul> <h4>Preferred qualifications:</h4><ul><li>Master’s degree or equivalent practical experience.</li><li>10 years of experience creating dashboards, manipulating datasets, and performing data analysis using SQL and data visualization tools (Looker, Tableau, PowerBI, Data Studio, etc.).</li><li>Experience working with product adoption, business, or media consumption data, and working with Python-based APIs and utilities.</li><li>Experience with one or more programming languages (Python, Java, C++, etc.) to deliver or manage data pipelines.</li><li>Experience converting business requests into technical requirements for insightful data products. Experience deploying data products, including working cross-functionally to deliver products and tailored communications to drive adoption.</li></ul>5 years of experience with data analysis and SQL/MySQL.5 years of experience with data analysis and SQL/MySQL.<h4>About the job</h4>YouTube Analytics and Data Science drives robust business decisions through analysis, data democratization, and actionable insights. The Users, Partnerships, and Creators Data Products team enhances the experience of front-line strategic partner managers and support operations. This is achieved by developing scalable data products and delivering cogent insights for partner engagement, creator and consumer support and go-to-market strategies across YouTube's relationships with creators, brands, media companies and distributors.In this role, you will lead the end-to-end development of our centralized reporting and analytics solutions. You will partner with Partnerships, Support, and Go-to-Market teams to translate business needs into impactful data products that drive better decision-making at scale. You will own the delivery of these solutions while advocating technical best practices among our community of BI analysts and data engineers.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.In this role, you will lead the end-to-end development of our centralized reporting and analytics solutions. You will partner with Partnerships, Support, and Go-to-Market teams to translate business needs into impactful data products that drive better decision-making at scale. You will own the delivery of these solutions while advocating technical best practices among our community of BI analysts and data engineers.<h4>Responsibilities</h4><ul><li>Lead the end-to-end development and deployment of centralized, reports, dashboards, models, and tools to analyze and present data related to partner management, creator and consumer support. </li><li>Collaborate with Partnerships, Consumer and Creator Support Operations, and Go-to-Market (GTM) teams to identify key business questions and process pain points where data products can enhance YouTube's GTM outcomes. Translate ambiguous business requests into technical requirements for insightful data products. </li><li>Deliver and contribute to a prioritized roadmap, working cross-functionally with Data Infrastructure (DI) and Engineering to release product features that empower stakeholders to improve YouTube's support outcomes. </li><li>Deliver data products to Partner Management and User Support teams to drive better decision-making. Assist in creating Key Performance Indicators and key results for the YouTube Business Organization, and provide strategic and operational recommendations to achieve goals. </li></ul><h4>Experience Level</h4>Senior Level

Google India Pvt Ltd

Business Intelligence Manager

Data Engineer Description<ul><li>2+ years of experience ML developer</li><li>Strong knowledge in python and ML basics</li><li>Custom object detection</li><li>OCR computer vision</li><li>Python ML libraries (Like OpenCV, SciPy, Numpy, Matplotlib, Pandas, Scikit-learn, Keras, PyTorch, TensorFlow)</li></ul> Experience: 5+ years

Colan Infotech Pvt Ltd

Data Engineer

Data Validation Professional Now Hiring: Data Validation Role (Hybrid)Employment Type: Full-TimeExperience: 5+ yrs Must-have*Experience in Model Governance *Good understanding of Model Governance framework SS 1/23*Good understanding of Credit Risk*Interest in documentation work*Strong collaboration and inter-personal skills to seek and gather inputs from Model Owners as required Good-to-have*Experience in Model Monitoring / Model Validation*Any exposure to SAS, SQL, Python If you fit the criteria and are ready to take on a new challenge, please share your updated resume.

EXL Service

Senior Data Processing Officer

IN-Senior Manager_ Snowflake Architect__ Data & Analytics _ Advisory _BangaloreLine of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData, Analytics &amp; AIManagement LevelSenior ManagerJob 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 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 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:Position: Snowflake Architect / Senior Manager Experience: 12- 15 Years Location: Bangalore Type: Full Time Certifications: SnowPro Core(mandatory), SnowPro Advanced Architect. About the Role: We are seeking an experienced Snowflake Architect with over 12-15 years of experience specializing in data services, data architecture, and data platforms. The ideal candidate should have a strong background in designing and implementing scalable data solutions on Snowflake. Candidate should have hands-on knowledge working with Snowflake keeping aligned with latest trends in Snowflake. Key Responsibilities: · Design, develop, and implement Snowflake-based data solutions. · Collaborate with stakeholders to understand business requirements and translate them into technical solutions. · Optimize and tune Snowflake environments for performance and cost efficiency. · Develop and enforce best practices for data governance, security, and compliance. · Lead and mentor a team of data engineers and analysts. · Integrate Snowflake with other data tools and platforms. · Monitor and troubleshoot data pipelines and workflows. · Stay updated with the latest trends and advancements in Snowflake and cloud data warehousing. Required Skills: · Extensive experience with Snowflake architecture and data warehousing. · Proficiency in SQL and performance tuning. · Proficiency in PySpark/Python/Snowpark · Experience with working with dbt (Data Build Tool) · Strong understanding of ETL/ELT processes and tools.· Experience with cloud platforms such as AWS, Azure, or Google Cloud. · Knowledge of data modeling, data integration, and data migration. · Familiarity with data governance, security, and compliance best practices. · Excellent problem-solving and analytical skills. · Strong communication and collaboration skills. Preferred Qualifications: · Extensive experience with Snowflake architecture and data warehousing. · Proficiency in SQL and performance tuning. · Proficiency in PySpark/Python/Snowpark · Experience with working with dbt (Data Build Tool) · Strong understanding of ETL/ELT processes and tools.Mandatory skill sets:· Design, develop, and implement Snowflake-based data solutions. · Collaborate with stakeholders to understand business requirements and translate them into technical solutions. · Optimize and tune Snowflake environments for performance and cost efficiency.Preferred Skill sets:· Extensive experience with Snowflake architecture and data warehousing. · Proficiency in SQL and performance tuning.Years of experience required:Experience: 12 - 15 YearsEducation qualification:B.Tech / M.Tech / MCA/MBAEducation (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 SkillsDatabricks SQL, PySparkOptional SkillsAccepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, 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, Inclusion {+ 24 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 )

Architect

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

Senior Associate Data Engineering L2 DE - Big Data GCP The Senior Associate People Senior Associate L2 in Data Engineering, you will translate client requirements into technical design, and implement components for a data engineering solutions. Utilize a deep understanding of data integration and big data design principles in creating custom solutions or implementing package solutions. You will independently drive design discussions to insure the necessary health of the overall solution&nbsp; Your Impact:<ul><li>Data Ingestion, Integration and Transformation</li><li>Data Storage and Computation Frameworks, Performance Optimizations</li><li>Analytics &amp; Visualizations</li><li>Infrastructure &amp; Cloud Computing</li><li>Data Management Platforms</li><li>Build functionality for data ingestion from multiple heterogeneous sources in batch &amp; real-time</li><li>Build functionality for data analytics, search and aggregation</li></ul> Qualifications&nbsp;Your Skills &amp; Experience:<ul><li>Minimum 3 years of experience in Big Data technologies</li><li>Hands-on experience with the Hadoop stack – HDFS, sqoop, Kafka, Pulsar, NiFi, Spark, Spark Streaming, Flink, Storm, hive, oozie, airflow, and other components required in building end-to-end data pipelines. Working knowledge of real-time data pipelines is added advantage.</li><li>Strong experience in at least the programming language Java, Scala, and Python. Java preferable</li><li>Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDB, Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery, etc.</li><li>Well-versed and working knowledge with data platform-related services on AWS</li><li>Bachelor’s degree and year of work experience of 6 to 8 years or any combination of education, training, and/or experience that demonstrates the ability to perform the duties of the position</li></ul> Set Yourself Apart With:<ul><li>Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands-on experience</li><li>Knowledge of data governance processes (security, lineage, catalog) and tools like Collibra, Alation, etc</li><li>Knowledge of distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace, search &amp; indexing, and Microservices architectures</li><li>Performance tuning and optimization of data pipelines</li><li>Cloud data specialty and other related Big data technology certifications</li></ul>

Data Engineer (SAS DQ Conversion) We’re Hiring: Data Engineer (SAS DQ Conversion) Experience: 6+ YearsNotice Period: Immediate Joiners only (First Come, First Serve!)Join us at EXL, where you’ll work on modernizing legacy systems, optimizing SQL queries, and delivering impactful data solutions. Must-Haves:<ul><li>Proficiency in SQL with hands-on translation experience</li><li>SAS Data Quality (DQ) expertise</li><li>Teradata SQL knowledge (preferred)</li><li>Strong problem-solving &amp; teamwork skills</li></ul> Good-to-Haves:<ul><li> Experience in data warehousing &amp; large-scale data environments</li><li> Familiarity with PostgreSQL/MySQL/MS SQL</li><li> Knowledge of Python or scripting for data engineering</li><li> Exposure to AWS/cloud data services</li></ul> Interested candidates, share your resume with details.

Bigdata + GCP Engineer We're on the lookout for talented individuals to join our expanding tech team: Position: Bigdata + GCP EngineerExperience: 3.5 to 6.5 yearsSkills: Python, Pyspark, SQLMust-have: GCP If you fit the bill and are ready to dive into exciting opportunities, send your resume, and we're seeking immediate joiners only!

Impetus Technologies India Pvt Ltd

Cloud Automation Engineer

Data Engineer We're hiring Data EngineerExperience: 5–8 Years What You’ll Do<ul><li>Design, build, and maintain scalable data pipelines and ETL workflows.</li><li>Create datamarts, data warehouses, and support advanced analytics &amp; ML initiatives.</li><li>Ensure optimal data delivery architecture across multiple projects.</li><li>Work with AWS services (EC2, EMR, Redshift, S3, Athena) and big data tools.</li><li>Collaborate with cross-functional teams to deliver secure and high-quality data solutions.</li></ul> What We’re Looking for<ul><li>5+ years of experience as a Data Engineer in large-scale data initiatives.</li><li>Strong skills in Python, PySpark, Java, or other scripting languages.</li><li>Hands-on experience with AWS cloud, Hadoop, Spark, Kafka.</li><li>Familiarity with workflow tools like Airflow, Luigi, or Azkaban.</li><li>Strong analytical skills and ability to work with structured/unstructured data.</li></ul> Do share your CV at <a rel="noopener noreferrer" href="\&quot;mailto:manoj.rajput@ascendion.com\&quot;" target="_blank">manoj.rajput@ascendion.com</a>

Ascendion Engineering Private Limited

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.

Staff Engineer, Data Science<h4>Company Description</h4>👋🏼We're Nagarro.We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!<h4>Job Description</h4>REQUIREMENTS:<ul><li>Total experience 7+ years.</li><li>Strong working experience in Python.</li><li>Hands on working knowledge of the DS/ML stack (NumPy, Pandas, SciPy, Scikit-learn, TensorFlow, PyTorch).</li><li>Working experience in SQL.</li><li>Hands-on experience with cloud-based data handling and ML workflows (Google Cloud preferred).</li><li>Experience in building microservice APIs for ML solutions.</li><li>Exposure to model monitoring technologies.</li><li>Experience with deploying ML solutions at scale (Kubeflow, VertexAI, Airflow, PySpark).</li><li>Proficiency with data visualization libraries (matplotlib, seaborn, plotly, etc.)</li><li>Excellent communication and collaboration skills for working across global teams.</li></ul>RESPONSIBILITIES:<ul><li>Writing and reviewing great quality code.</li><li>Understanding functional requirements thoroughly and analyzing the client's needs in the context of the project.</li><li>Envisioning the overall solution for defined functional and non-functional requirements, and being able to define technologies, patterns and frameworks to realize it.</li><li>Determining and implementing design methodologies and tool sets.</li><li>Enabling application development by coordinating requirements, schedules, and activities.</li><li>Being able to lead/support UAT and production roll outs.</li><li>Creating, understanding and validating WBS and estimated effort for given module/task, and being able to justify it.</li><li>Addressing issues promptly, responding positively to setbacks and challenges with a mindset of continuous improvement.</li><li>Giving constructive feedback to the team members and setting clear expectations.</li><li>Helping the team in troubleshooting and resolving of complex bugs.</li><li>Coming up with solutions to any issue that is raised during code/design review and being able to justify the decision taken.</li><li>Carrying out POCs to make sure that suggested design/technologies meet the requirements.</li></ul><h4>Qualifications</h4>Bachelor’s or master’s degree in computer science, Information Technology, or a related field.<h4>Experience Level</h4>Senior Level

Nagarro Softwares Pvt. Ltd

Data Scientist

Data Engineer <ul><li>Experience:&nbsp;4–10 years</li><li>Skills:&nbsp;BODS, Informatica IICS, SQL, Oracle</li></ul> Apply Now: <a rel=\"noopener noreferrer\" href=\"mailto:anupa.dhing@brillio.com\" target=\"_blank\">anupa.dhing@brillio.com</a>

Brillio Technologies

Staff Machine Learning EngineerThe CompanyPayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards.  Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. Our beliefs are the foundation for how we conduct business every day.  We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.Job Summary:This job will lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.Job Description:Essential Responsibilities: <ul><li>Lead the development and optimization of advanced machine learning models.</li><li>Oversee the preprocessing and analysis of large datasets.</li><li>Deploy and maintain ML solutions in production environments.</li><li>Collaborate with cross-functional teams to integrate ML models into products and services.</li><li>Monitor and evaluate the performance of deployed models, making necessary adjustments.</li></ul>Minimum Qualifications:<ul><li>Minimum of 8 years of relevant work experience and a Bachelor's degree or equivalent experience.</li><li>Extensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.</li><li>Expertise in cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.</li></ul>Preferred Qualification:Subsidiary:PayPalTravel Percent:0PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit <a href="https://careers.pypl.com/contact-us" rel="noopener noreferrer" target="_blank">https://careers.pypl.com/contact-us</a>.For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.Our Benefits:At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit <a href="https://www.paypalbenefits.com/" rel="noopener noreferrer" target="_blank">https://www.paypalbenefits.com</a>.Who We Are:<a href="https://about.pypl.com/who-we-are/default.aspx" rel="noopener noreferrer" target="_blank">Click Here</a> to learn more about our culture and community.Commitment to Diversity and Inclusion  PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law.  In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities.  If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at <a href="mailto:paypalglobaltalentacquisition@paypal.com" rel="noopener noreferrer" target="_blank">paypalglobaltalentacquisition@paypal.com</a>.  Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.Any general requests for consideration of your skills, please <a href="https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fpaypal.eightfold.ai%2Fcareers%2Fjoin%3Fdomain%3Dpaypal.com&amp;data=05%7C01%7Chmouchel%40paypal.com%7C896c661e48224f2f6c0608db51a99675%7Cfb00791460204374977e21bac5f3f4c8%7C0%7C0%7C638193561037230485%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=iYNNAXZqfoYTLGNP79IEWsPoYxBR8lE1%2BqNN6c2Kmnk%3D&amp;reserved=0" rel="noopener noreferrer" target="_blank">Join our Talent Community</a>. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.<h4>Experience Level</h4>Senior Level

AI Resume builder

AI Resume checker

AI Cover letter generator

Blog

Data Science & Analytics Jobs - 742 Verified Vacancies

Business Intelligence Manager

Data Engineer

Senior Data Processing Officer

Architect

Business Intelligence Engineer

Data Engineer

Data Engineer

Cloud Automation Engineer

Data Engineer

Data Engineer

Data Scientist

Data Engineer

Data Annotation Engineer

Know more about Data Science Analytics Jobs In Karnataka State