Data Scientist - Bangalore

Bangalore, India

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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.

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Job Summary
You enjoy bridging the fields of data science, software development, and data engineering. You’re equally excited about building models at scale and writing production-ready software that can run in the cloud. You understand machine learning and know how to implement best software development practices across a team. You’re intellectually curious and prepared to learn from your peers. 

Responsibilities

  • Build measurement and planning solutions for publishers, advertisers, and agencies.
  • Support 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.
  • Communicate methodology and research findings to varying audiences.
  • Support research on methodology changes to cross-platform audience measurement. The primary research areas include trend analyses, imputing missing data, representation/ sampling, bias reduction, indirect estimation, data integration, and automation.
  • Continuous support and development of new projects by exploring the data - Variable Identification, cleaning the data , applying dimension reduction techniques, calculating distances and integrating the surveys. And also using output evaluation techniques in order to make sure of the accuracy.
  • Address quality escapes and fix issues in production code.
  • Document new methodologies and code.

Skills Required

  • 0-3 years work experience.
  • Proficiency in Python, Spark, SQL.
  • Degree in data science, statistics, engineering, applied mathematics, operations research, information sciences, or another biological/physical science.
  • Strength in code documentation.
  • Proficiency in Git and code versioning tools (Gitlab).
  • Proficiency in Atlassian Suite such as JIRA and Confluence.
  • Familiarity with cloud computing (AWS, Google Cloud preferred).
  • Knowledge of statistics and machine learning.
  • Ability to manipulate, analyze, and interpret large datasets.
  • Knowledge of dashboarding and visualization tools like Spotfire/Tableau.

Desired Skills (Business)

  • Excellent oral and written communication.
  • Self-motivation and an ability to handle multiple competing priorities in a fast-paced environment.
  • Strong interpersonal skills and the ability to develop effective relationships with other team members, including remotely.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: AWS Confluence Data pipelines Engineering GCP Git GitLab Google Cloud Jira Machine Learning Mathematics Pipelines Python Research Spark Spotfire SQL Statistics Tableau

Perks/benefits: Career development

Region: Asia/Pacific
Country: India

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