Nielsen Hiring Drive 2024: Nielsen Hiring Drive 2024 for its Data Scientist. Nielsen Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree. if you are interested, please apply as soon as possible.
Company Name: Nielsen
Role: Data Scientist
Location: Bangalore
Experience: 1-2 years
Qualification: Bachelor’s or Master’s (preferred) degree in a quantitative research field
Batch: Any
Job Type: Full Time
Salary: 6.7 LPA(Expected)
Nielsen Hiring Drive 2024
Job Description:
- Audience is everything! Nielsen offers the world’s most complete measurement of media-viewing behavior.
- Our data scientists leverage the best data assets and modeling methods to build consistent and comparable metrics of the media landscape in multiple countries.
- We help the world’s biggest brands make better and faster media and marketing decisions.
- As a Data Scientist you will be responsible for high-quality design, execution and delivery of global analytics solutions, performance dashboards, and analytical studies.
- Excited? Come join us!This position will support the Data Science team by applying data science methodologies to improve Nielsen’s audience measurement capabilities and ability to deliver client impact.
- The role focuses on the execution of analytical projects, development of predictive models, and extraction of insights from various data sources, fostering growth and innovation within the team.
Requirements:
- 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
Responsibility:
- 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.
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