Full-Time Senior Data Scientist (Engineering-Focused)
NielsenIQ is hiring a remote Full-Time Senior Data Scientist (Engineering-Focused). The career level for this job opening is Experienced and is accepting Vadodara, India based applicants remotely. Read complete job description before applying.
NielsenIQ
Job Title
Posted
Career Level
Career Level
Locations Accepted
Share
Job Details
Join a dynamic team dedicated to developing innovative solutions.
We are seeking a highly skilled Data Scientist with expertise in statistics, mathematics, econometrics, and experience with panel data to revolutionize the way we measure consumer behavior.
About the Role:
- Collaborative Environment: Work with an international team.
- Tool Ownership and Development: Take ownership of a core Python-based tool.
- Innovative Solution Development: Collaborate closely with subject matter experts.
- Methodology Enhancement: Evaluate and improve current methodologies.
- Documentation & Code Quality: Maintain comprehensive documentation.
- Research and Analysis: Conduct rigorous research and analysis.
- Deployment and Support: Support the production deployment of new features.
- Cross-Team Coordination: Coordinate efforts across multiple teams.
About You:
Ideally you possess a good understanding of consumer behavior and panel-based projections.
- Educational Background: Bachelor’s or Master’s Degree in Computer Science, or a related field with 3+ years of experience.
- Programming Proficiency: Proficient with Python.
- Software Engineering Skills: Strong software engineering skills.
- Data Analysis Skills: Proficiency in manipulating large data sets.
- Data Handling: Experience using Spark, specifically with PySpark package.
- Continuous Learning: Eagerness to adopt and develop evolving technologies.
- Statistical Expertise: Statistical and logical skills, experience in data cleaning.
- Communication and Collaboration: Strong communication, writing, and collaboration skills.
Nice to Have:
- Knowledge of consumer behavior and consumer-related crowdsourced panels.
- Familiarity with technology stacks for cloud computing (AzureAI, Databricks, Snowflake).
- Experience or interest in supporting technology teams in production deployment.