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senior data scientist

ATV Tech Solutions

(Senior)Data Scientist &ndash; AI / ML / Generative AICompanyATV Tech SolutionsExperience5&ndash;8 Years (Relevant Industry Experience)LocationJaipur &ndash; On-site (Mandatory)Employment TypeFull-timeAbout the RoleATV Tech Solutions is looking for an experienced (Senior)Data Scientist &ndash; AI / ML / Generative AI to design, develop, and deploy production-grade AI solutions. This role focuses on Machine Learning, Deep Learning, and Generative AI, including LLM-based systems and scalable ML pipelines.You will work closely with engineering and business teams to deliver high-impact, data-driven and AI-powered solutions.Key Responsibilities<ul><li>Design, develop, and deploy end-to-end AI/ML solutions for real-world business problems</li><li>Build and optimize Generative AI and LLM-based applications</li><li>Implement RAG pipelines, embeddings, prompt engineering, and fine-tuning</li><li>Perform data analysis, feature engineering, model training, validation, and evaluation</li><li>Work with large-scale structured and unstructured datasets</li><li>Build, deploy, and maintain scalable ML pipelines</li><li>Monitor model performance and drive continuous improvement</li><li>Collaborate with cross-functional teams for production integration</li><li>Mentor junior team members and contribute to AI best practices</li></ul>Required Skills &amp; QualificationsProgramming &amp; Libraries<ul><li>Python</li><li>Pandas, NumPy</li><li>Scikit-learn</li><li>PyTorch, TensorFlow</li></ul>Machine Learning &amp; AI<ul><li>5&ndash;8 years of hands-on experience in Data Science / AI / Machine Learning</li><li>Strong foundation in statistics, probability, and machine learning algorithms</li><li>Experience with classical ML, NLP, and deep learning techniques</li><li>Strong experience with Generative AI and Large Language Models (LLMs)</li><li>Hands-on knowledge of RAG architectures, embeddings, prompt engineering, and fine-tuning</li></ul>Data, Cloud &amp; MLOps<ul><li>Strong SQL and data handling skills</li><li>Experience with AWS / Azure / GCP / Snowflake</li><li>Practical exposure to MLOps (model versioning, CI/CD, deployment, monitoring)</li><li>Experience deploying and maintaining production ML systems</li></ul>Good to Have<ul><li>Experience building enterprise-scale GenAI solutions</li><li>Knowledge of model explainability, responsible AI, and AI governance</li><li>Prior mentoring or technical leadership experience</li></ul>What We Offer<ul><li>Opportunity to work on cutting-edge AI and Generative AI projects</li><li>High-impact, production-focused problem solving</li><li>Collaborative and growth-oriented work culture</li><li>Competitive compensation (industry-aligned)</li><li>Strong career growth in AI &amp; GenAI</li></ul>How to ApplySend your resume, GitHub, or project portfolio to hello@atvtechsolutions.com with the subject line: &ldquo;Application &ndash; Data Scientist (Jaipur)&rdquo;Job Types: Full-time, PermanentPay: ₹600,000.00 - ₹1,200,000.00 per yearAbility to commute/relocate:<ul><li>Jaipur, Rajasthan: Reliably commute or planning to relocate before starting work (Required)</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Data science: 5 years (Required)</li></ul>Work Location: In person

(Senior)Data Scientist

Thomson Reuters

<div>Senior Data Scientist &ndash; Enterprise Analytics
Want to be part of the Data &amp; Analytics organization, whose strategic goal is to create a world-class Data &amp; Analytics company by building, embedding, and maturing a data-driven culture across Thomson Reuters.
We are looking for a highly motivated individual with strong organizational and technical skills for the position of Senior Data Scientist. You will play a critical role working on cutting edge of analytics, leveraging predictive models, machine learning and generative AI to drive business insights and facilitating informed decision-making and help Thomson Reuters rapidly scale data-driven initiatives.
About the Role
In this opportunity as Senior Data Scientist, you will:
<ul><li>Engage with stakeholders, business analysts and project team to understand the data requirements.
</li><li>Work in multiple business domain areas including Customer Service, Finance, Sales and Marketing.
</li><li>Design analytical frameworks to provide insights into a business problem.
</li><li>Explore and visualize multiple data sets to understand data available and prepare data for problem solving.
</li><li>Build machine learning models and/or statistical solutions.
</li><li>Build predictive models, generative AI solutions.
</li><li>Use Natural Language Processing to extract insight from text.
</li><li>Design database models (if a data mart or operational data store is required to aggregate data for modeling).
</li><li>Design visualizations and build dashboards in Tableau and/or PowerBI.
</li><li>Extract business insights from the data and models.
</li><li>Present results to stakeholders (and tell stories using data) using power point and/or dashboards.
</li></ul>About You
You're a fit for the role of Senior Data Scientist if your background includes:
<ul><li>Experience- 6-5 Years in the field of Machine Learning &amp; AI
</li><li>Must have a minimum of 3 years of experience working in the data science domain
</li><li>Degree preferred in a quantitative field (Computer Science, Statistics, etc.)
</li><li>Both technical and business acumen is required
</li><li>Technical skills
</li><li>Proficient in machine learning, statistical modelling, data science and generative AI techniques
</li><li>Highly proficient in Python and SQL
</li><li>Experience with Tableau and/or PowerBI
</li><li>Has worked with Amazon Web Services and Sagemaker
</li><li>Ability to build data pipelines for data movement using tools such as Alteryx, GLUE
</li><li>Experience Predictive analytics for customer retention, upsell/cross sell products and new customer acquisition, Customer Segmentation, Recommendation engines (customer and AWS Personalize), POC&rsquo;s in building Generative AI solutions (GPT, Llama etc.,)
</li><li>Hands on with Prompt Engineering
</li><li>Experience in Customer Service, Finance, Sales and Marketing
</li><li>Additional Technical skills include Familiarity with Natural Language Processing including Feature Extraction techniques, Word Embeddings, Topic Modeling, Sentiment Analysis, Classification, Sequence Models and Transfer Learning
</li><li>Knowledgeable of AWS APIs for Machine Learning
</li><li>Has worked with Snowflake extensively.
</li><li>Good presentation skills and the ability to tell stories using data and Powerpoint/Dashboard Visualizations.
</li><li>Ability to communicate complex results in a simple and concise manner at all levels within the organization.
</li><li>Consulting Experience with a premier consulting firm.
</li></ul>#LI-SS5
What&rsquo;s in it For You?
<div><div><div><div><ul><li>Hybrid Work Model: We&rsquo;ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
</li><li>Flexibility &amp; Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
</li><li>Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow&rsquo;s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
</li><li>Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
</li><li>Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
</li><li>Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
</li><li>Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
</li></ul></div></div></div></div>About Us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here .
Learn more on how to protect yourself from fraudulent job postings here .
More information about Thomson Reuters can be found on thomsonreuters.com.</div>

Senior Data Scientist

NielsenIQ

<div>Job Description 
Position: Senior Data Scientist (Internship - 6 Months)
Job Purpose: As a Senior Data Scientist within the Data Science Methods team in the NIQ Product organization, you will drive definition and support of new products and methods development, and improvement initiatives. This position focuses on innovation in data processing methods for retail measurement and automation of existing statistical procedures.
Job Responsibilities:<ul><li>
Define, plan and execute analyses regarding innovation initiatives, methodology development, standards, and KPIs development and implementation.</li><li>
Prototype solutions and support pilot programs for R&amp;D purposes, including trend analyses, representation/sampling, bias reduction, indirect estimation, data integration, automation, and generalization.</li><li>
Test-driven development of scalable data processing applications.</li><li>
Deliver high quality documentation of new methodologies and best practices.</li><li>
Collaborate with experienced Developers, Data Scientists, and Technology engineers.</li><li>
Support various Operations team as main users of our solutions.</li><li>
Engage with stakeholders on scope, execution, data exchange, and outcomes for assigned projects.</li><li>
Participate in multiple projects simultaneously.</li></ul>
Requirements:
Essential:<ul><li>
Pursuing PhD degree in Statistics, with outstanding analytical expertise and strong technical skills.</li><li>
Extensive experience in trend analyses, multivariate statistics (parametric/non-parametric), sampling, bias reduction, indirect estimation, data aggregation techniques, automation, and generalization.</li><li>
High proficiency in Python programming language including data analysis and statistical packages (Pandas, NumPy, Scikit-Learn). Good familiarity with Python standard library, especially unittest and argparse modules.</li><li>
Experience with Spark or other big data processing solutions.</li><li>
Experience in machine learning.</li><li>
Experience with cloud computing and storage (MS Azure preferred).</li><li>
Experience with Docker and Linux command line.</li><li>
Ability to quickly manipulate, analyze, and interpret large data sources.</li><li>
Strong communication/writing skills with good English (working in a remote team with a global footprint).</li></ul>
Preferred:<ul><li>
Experience in NIQ methodologies, data collection, platforms, research processes, and operations.</li></ul> 
Additional Information<div></div> 
Our Benefits<ul><li>
Flexible working environment</li><li>
Volunteer time off</li><li>
LinkedIn Learning</li><li>
Employee-Assistance-Program (EAP)</li></ul>

About NIQ
NIQ is the world&rsquo;s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights&mdash;delivered with advanced analytics through state-of-the-art platforms&mdash;NIQ delivers the Full View&trade;. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world&rsquo;s population.
For more information, visit NIQ.com
Want to keep up with our latest updates?
Follow us on: LinkedIn | Instagram | Twitter | Facebook

Our commitment to Diversity, Equity, and Inclusion
At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion</div>

ProSer Industries

Senior Data Scientist / Data Engineer (8&ndash;12 years) to drive end-to-end analytics, data engineering pipelines, and cloud-based ML solutions. This role will design, build, and operationalize scalable data platforms and analytical models to support business decision-making.________________________________________Job DescriptionPosition SummaryThe role involves developing advanced ML models, building robust data pipelines, and architecting cloud-based data solutions. The incumbent will collaborate with cross-functional teams to deliver high-impact analytical insights and scalable data products.________________________________________Key Responsibilities:<ul><li>Design, develop, and deploy end-to-end ML models and analytical frameworks for business use cases.</li><li>Build and maintain scalable ETL/ELT pipelines using modern data engineering tools such as Spark, Airflow, and cloud-native services.</li><li>Architect and optimize data lake/data warehouse solutions for performance, reliability, and scalability.</li><li>Perform advanced analytics, feature engineering, model tuning, and performance monitoring.</li><li>Implement MLOps practices for model versioning, CI/CD, and production monitoring.</li><li>Work with structured, semi-structured, and unstructured data to deliver high-quality datasets for analytics.</li><li>Collaborate with business stakeholders, product owners, and engineering teams to translate business requirements into technical solutions.</li><li>Mentor junior team members and contribute to standardization, best practices, and knowledge sharing.</li></ul>________________________________________Requirements / Qualifications:Education:Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field. Master&rsquo;s degree preferred.Experience &amp; Requirements:<ul><li>8&ndash;12 years of hands-on experience across Data Science and Data Engineering domains.</li><li>Strong proficiency in Python, SQL, PySpark/Spark, and distributed data processing.</li><li>Expertise in ML modelling&mdash;classification, regression, clustering, NLP, time series, and model deployment.</li><li>Experience building data pipelines and working with tools like Airflow, Kafka, DBT, Hadoop ecosystem.</li><li>Proven experience with cloud platforms (AWS/Azure/GCP) and cloud-native data/ML services.</li><li>Familiarity with MLOps tools such as MLflow, Kubeflow, SageMaker, or Vertex AI.</li><li>Strong communication, analytical thinking, and stakeholder management skills.</li><li>Experience working with large-scale datasets and real-time/near-real-time data solutions.</li></ul>________________________________________Requirements / Qualifications:<ul><li>Strong problem-solving mindset with the ability to convert business problems into analytical solutions.</li><li>Ability to work in a fast-paced, collaborative environment.</li><li>Experience with Agile methodologies and cross-functional team collaboration.</li><li>Knowledge of BI tools (Power BI, Tableau) is a plus.</li><li>Industry experience in BFSI/Retail/Healthcare preferred.</li></ul>Job Type: Full-timeBenefits:<ul><li>Work from home</li></ul>Work Location: Remote

Fx31Labs Private Limited

FX31 Labs is looking for a passionate Sr. Data Scientist to drive end-to-end analytics and ML model deployment. If you love solving complex problems, working with messy real-world data, and building scalable ML pipelines &mdash; we want to talk to you!Experience: 6+ YearsLocation: RemoteShift: Afternoon (India)What You&rsquo;ll Work On<ul><li>Building, testing &amp; deploying ML models using Python + AWS SageMaker</li><li>Data prep, feature engineering, EDA, and model evaluation</li><li>Creating production-ready, reusable pipelines</li><li>Collaborating with cross-functional teams to turn data into decisions</li></ul>What You Bring<ul><li>Strong Python skills with pandas, NumPy, scikit-learn, PyTorch/TensorFlow</li><li>Hands-on experience with SageMaker (training, tuning, deployment)</li><li>Ability to operate independently and deliver high-quality outcomes</li></ul>Bonus Points If You Have<ul><li>Experience with travel, mobility, or geolocation datasets</li><li>Familiarity with AWS services like S3, Lambda, Step Functions</li></ul>Job Types: Full-time, PermanentBenefits:<ul><li>Work from home</li></ul>Work Location: Remote

Microsoft

<div>Overview<div> 
The Microsoft Teams Data Science team's charter is to foster a data-driven culture to encourage and enable the entire organization to make more informed decisions through data. Our data and analytics team works closely with engineering, marketing, finance, and business leaders to identify opportunities for improving the customer experience and accelerate our business's growth in support of this mission. This is a unique opportunity to bring your knowledge of enterprise software offerings, as well as your understanding of data science methods and best practices, to help Microsoft deliver the best experience possible for our customers and partners. 
 
We are a modern product and services organization, one of the largest business &amp; consumer services on the planet, with over 300 million monthly active users. Data scientists on this team will be part of the broader data science team, and specific product teams focused on tangible and immediate business impact. We are looking for a Senior Data Scientist to work on some of the biggest changes in how users collaborate in Teams including mobile, search, notifications, and copilot. Our goal is to enhance these features, improving the mobile user experience, helping users stay on top of their tasks, and enhancing the search experience. Data is key to getting it right! This role requires technical depth and experience leveraging statistics, data analysis, and visualization to drive business insights that lead to action and successful business outcomes. 
Microsoft&rsquo;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.</div> 
Responsibilities 
<div><ul><li>
Work with other teams across Microsoft to develop key metrics to achieve business outcomes.</li><li>
Work cross functionally to translate business problems into ones that can be solved and informed by data.</li><li>
Communicate vision and strategy, enabling global teams to operate independently to deliver success</li><li>
Have curiosity and apply analytical skills to dive deep into data to find key insights that impact the business.</li><li>
Develop models of usage, user behavior &amp; business behavior to make recommendations and influence the product road map.</li><li>
Be a champion of AB testing. Design, execute and analyze experiments to prove product change attribution.</li><li>
Utilize tools like SQL, R, Python to execute analyses.</li><li>
Grow and develop top talent - build and cultivate a highly functioning team of data scientists grounded in the objective truth of the measured customer experience.</li><li>
Develop and manage relationships with product and business leaders across the organization to understand objectives and identify opportunities.</li><li>
Collaborate closely with other Microsoft Data Science and Data Engineering teams to deliver data-informed solutions to address the business's most essential needs.</li></ul></div> 

Qualifications 
Required Qualifications:<div><ul><li>
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ 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, 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 Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>
5+ years leveraging passion for and understanding the need to deliver the right business impact by working with stakeholders to turn business problems into data analysis questions and unearthing deep insights from data.</li><li>
Experience as a data scientist for an online service, app, or Web site with millions of users.</li></ul></div><div> 
Preferred Qualifications:<div><ul><li>
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)<ul><li>
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, 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 Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ 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>
Experience working on an online collaboration, video conference, or messaging product is a plus.</li><li>
Have a track record of innovative thinking and problem-solving skills using Big Data.</li><li>
 Have the ability to deliver on ambiguous projects with incomplete data.</li><li>
 5+ years leveraging the practical uses of statistics (i.e. experimentation, statistical modeling).</li><li>
Professional experience with large-scale computing systems like Hadoop, MapReduce, and/or similar systems.</li><li>
5+ years of professional experience in SQL, R, Python, or related tools for large-scale analysis.</li><li>
Ability to convince others of their ideas and communicate complex analysis &amp; insights to a non-technical audience.</li><li>
 Experience working as part of geographically dispersed, diverse, and virtual teams.</li></ul> 
Other Requirements:
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></div></div> 
 
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. 
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.</div>

Brillio LLC

<div><h1 class="jobSectionHeader">Senior Data Scientist - R01558827</h1>
<div>Senior Data Scientist</div><h6 class="jobSectionHeader">
Primary Skills</h6><ul><li>
Problem Formulation (Business problem to Data Science Problem), OKR Validation against statistical measures, Data Wrangling, Data Storytelling &amp; Insight Generation, Problem Solving, Excel VBA, Data Curiosity, Technical Decision Making (How many iterations to go for vs when to stop iterating), Communication &amp; Articulation: Vocal &amp; Written, Business Acumen (Consume new domains quickly to learn through data), Design Thinking, Data Literacy
</li></ul><h6 class="jobSectionHeader">Specialization</h6><ul><li>
Data Science Foundation: Data Scientist
</li></ul><h6 class="jobSectionHeader">Job requirements</h6><ul><li>
Need B1 resource for Senior Data Scientist with Experience: 6+ Below is JD: Design and develop intelligent, autonomous AI agents using frameworks like LangChain, AutoGPT, CrewAI, etc. Work with LLMs (GPT-4, Claude, LLaMA, Mistral) to create scalable, enterprise-grade agentic solutions. Build and optimize ML/DL models to power decision-making for agents. Collaborate with cross-functional teams to deliver AI-first digital experiences. Stay on the edge of innovation in Generative AI, RAG, Vector Databases (FAISS/Pinecone), Prompt Engineering, and more. Experience in Data Science / Machine Learning / AI. 4 plus years of Hands-on with Python, LLM APIs, and ML/DL libraries (PyTorch, TensorFlow, Scikit-learn). Real-world experience with Agentic AI frameworks and orchestration tools. Strong understanding of cloud-based AI deployments (Azure/AWS/GCP). A growth mindset with curiosity for emerging AI technologies. Working experience with GitHub</li></ul></div>

Senior Data Scientist – R01558827

Explore 9939+ Senior data scientist in Bangalore Jobs In Test Jobs In Mangaluru this December. Find roles across top companies and apply now to boost your career.

9939 senior data scientist jobs IN Bangalore Jobs In Test Jobs In Mangaluru

(Senior)Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist – R01558827