Data Scientist

3 days ago


Bengaluru Karnataka, India Jobs for Humanity Full time

**Company Description**

Company Name: Nielsen
- 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.

Aim of the position
- Responsibilities
- Own reproducible data science projects end-to-end
- Deploy and maintain data pipelines and models in a production environment
- Work with global 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.
- 1-2 years code development/research experience in a business setting
- Strong proficiency with 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 fundamentalsOutstanding statistical and analytical skills
- Collaborative code development experience, including version, unit/integration testing, code review and sharingCuriosity and skepticism


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