Machine Learning Researcher
Bangalore, India
Nielsen
A global leader in audience insights, data and analytics, Nielsen shapes the future of media with accurate measurement of what people listen to and watch.
At Nielsen, we believe that career growth is a partnership. You ultimately own, fuel and set the journey. By joining our team of nearly 14,000 associates, you will become part of a community that will help you to succeed. We champion you because when you succeed, we do too. Embark on a new initiative, explore a fresh approach, and take license to think big, so we can all continuously improve. We enable your best to power our future.
The Big Data and Panel Integration team within the Data Science organization focuseson improving and enhancing Nielsen’s highly successful audience measurementproducts out in the marketplace for advertising and content measurement. As part ofthis exciting team, this position will focus on developing new methodologies tomeasure audiences across platforms (including on “connected” or “over the top”devices, smart tv’s, or set top boxes) and on evaluating and integrating new dataassets and partners into Nielsen’s existing methodologies in order to enhance orexpand the data delivered to clients.
The Senior Data Scientist role provides an opportunity to contribute to methodologicalinnovation in the exciting and fast changing world of media measurement. This positionwill develop new methodologies to measure audiences across platforms and integratenew big data data assets into Nielsen’s existing methodologies. This is an idealposition to grow as a researcher, contribute to innovative products, and deploy cuttingedge methodologies across platforms in audience measurement methodology.
In this role, you will work closely with other members of the team to optimize thecurrent codebase, create simulation environments and pipelines, and have theopportunity to conduct research that will enhance the utility of our data. You will alsowrite new coding packages to support the refinement processes of behavioral mediatuning data (e.g. meter crediting rules, big data editing rules, big data refinementmodels) by producing production ready code (scalable, reusable/modular). In addition,you will have the opportunity to grow your data science skills (coding, statistics)through all aspects of the data science workflow and data product lifecycle.Responsibilities would range from methodology development, analysis, lightweightautomation to designing and building robust/scalable code packages.
The Big Data and Panel Integration team within the Data Science organization focuseson improving and enhancing Nielsen’s highly successful audience measurementproducts out in the marketplace for advertising and content measurement. As part ofthis exciting team, this position will focus on developing new methodologies tomeasure audiences across platforms (including on “connected” or “over the top”devices, smart tv’s, or set top boxes) and on evaluating and integrating new dataassets and partners into Nielsen’s existing methodologies in order to enhance orexpand the data delivered to clients.
The Senior Data Scientist role provides an opportunity to contribute to methodologicalinnovation in the exciting and fast changing world of media measurement. This positionwill develop new methodologies to measure audiences across platforms and integratenew big data data assets into Nielsen’s existing methodologies. This is an idealposition to grow as a researcher, contribute to innovative products, and deploy cuttingedge methodologies across platforms in audience measurement methodology.
In this role, you will work closely with other members of the team to optimize thecurrent codebase, create simulation environments and pipelines, and have theopportunity to conduct research that will enhance the utility of our data. You will alsowrite new coding packages to support the refinement processes of behavioral mediatuning data (e.g. meter crediting rules, big data editing rules, big data refinementmodels) by producing production ready code (scalable, reusable/modular). In addition,you will have the opportunity to grow your data science skills (coding, statistics)through all aspects of the data science workflow and data product lifecycle.Responsibilities would range from methodology development, analysis, lightweightautomation to designing and building robust/scalable code packages.
Responsibilities :
- Own reproducible data science projects end-to-end.
- Deploy and maintain data pipelines and models in a production environment.
- Work with cross-functional teams to productionize, validate, and optimize methodologies.
- Conduct research and analytics to ensure methodologies are fit for purpose and working as intended; troubleshoot, diagnose, and resolve when they are not.
- Provide technical mentorship.
- Communicate research findings to varying audiences.
- Develop, implement and maintain good programming standards and practices across our data science and analytics codebases.
- Champion and govern best practices for data use and software development.
- Use git and cloud development tools extensively to iterate and improve data science workstreams.
Skills :
- Bachelor’s or Master’s (preferred) degree in a quantitative research field, such as computer science, data science, statistics, mathematics, biological/physical sciences, etc.
- 3-5 years code development/research experience in a business setting.
- Strong proficiency with Java, Python, Spark, SQL, Unix, git, and AWS (S3 and EC2).
- Excellent verbal and written communication skills.
- Excellent software engineering fundamentals.
- Excellent debugging skills.
- Excellent machine learning fundamentals.
- Outstanding statistical and analytical skills.
- Collaborative code development experience, including version control, unit/integration testing, code review and sharing.
- Curiosity and skepticism.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
5
3
0
Categories:
Machine Learning Jobs
Research Jobs
Tags: AWS Big Data Computer Science Data pipelines EC2 Engineering Git Java Machine Learning Mathematics Pipelines Python Research Spark SQL Statistics Testing
Perks/benefits: Career development
Region:
Asia/Pacific
Country:
India
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.
Principal Data Engineer jobsData Engineer II jobsPrincipal Data Scientist jobsWriter - Freelance AI Tutor jobsContent writer - Freelance AI Tutor jobsData Manager jobsData Science Manager jobsData Scientist II jobsJunior Data Analyst jobsResearch Scientist jobsBusiness Data Analyst jobsSenior Machine Learning Researcher jobsBI Analyst jobsSr Data Engineer jobsSr. Data Scientist jobsSoftware Engineer, Machine Learning jobsData Science Intern jobsLead Data Analyst jobsBusiness Intelligence Engineer jobsJunior Data Engineer jobsJunior Data Scientist jobsData Analyst II jobsSenior AI Engineer jobsAzure Data Engineer jobsCopywriter - Freelance AI Tutor jobs
Data governance jobsSnowflake jobsLinux jobsHadoop jobsOpen Source jobsRDBMS jobsBanking jobsJavaScript jobsPhysics jobsMLOps jobsKafka jobsScala jobsData Warehousing jobsComputer Vision jobsNoSQL jobsGoogle Cloud jobsAirflow jobsSAS jobsOracle jobsData warehouse jobsLooker jobsKPIs jobsData Mining jobsPostgreSQL jobsStreaming jobs
R&D jobsClassification jobsCX jobsScikit-learn jobsGitHub jobsTerraform jobsScrum jobsDistributed Systems jobsPandas jobsPySpark jobsJira jobsIndustrial jobsBigQuery jobsRedshift jobsReact jobsRobotics jobsUnstructured data jobsJenkins jobsMySQL jobsMicroservices jobsdbt jobsMatlab jobsE-commerce jobsData strategy jobsPharma jobs