AmbitionBox
Search
Jobs
- Reviews
- Salaries
- Interview Questions
- About Company
- Benefits
- Jobs
- Office Photos
- Community
Add office photos
All Filters
183 Nielsen Sports Jobs
Lead Data Scientist (Gurobi/AIMMS)
Nielsen Sports
posted 6d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Nielsen measures the media-consumption habits of homes globally. Our data paints a rich portrait of the audience in those markets we measure. As a pioneer and industry leader in audience measurement for more than half a century, we take pride in our technology and processes, and we are constantly searching for new ways to advance our culture of innovation and growth.
As a Lead Data Scientist you will be on the front lines of the maintenance and ongoing evolution of the data science behind the Audio audience measurement business.
You will join a team focused on delivering and enhancing Nielsen s product. The team develops new techniques and processes data to better meet the needs of our clients to measure audiences, working at the intersection of Data Science, Technology, Product Delivery and Operations. Despite being spread geographically, our team values collaboration, teamwork, and having fun at work! We hold each other accountable for creating stable, scalable, and well-documented solutions.
Responsibilities
- Research, design, develop, implement and test econometric, statistical, optimization and machine learning models.
- Design, write and test modules for Nielsen analytics platforms using Python, R, SQL and/or Spark.
- Utilize advanced computational/statistics libraries including Spark MLlib, Scikit-learn, SciPy, StatsModels or R.
- Collaborate with cross functional Data Science, Product, and Technology teams to integrate best practices from across the organization
- Provide leadership and guidance for the team in the of adoption of new tools and technologies to improve our core capabilities
- Execute and refine the roadmap to upgrade the modeling/forecasting/control functions of the team to improve upon the core service KPI s
- Gain a deep understanding of the Audio methodology supported by the team
- Ensure product quality, stability, and scalability by facilitating code reviews and driving best practices like modular code, unit tests, and incorporating CI/CD workflows
- Explain complex data science (e. g. model-related) concepts in simple terms to non-technical internal and external audiences
Key Skills
- 5+ years of professional work experience in Statistics, Data Science, and/or related disciplines, with focus on delivering analytics software solutions in a production environment
- Expertise with relational and distributed database systems with expertise in tools such as Spark, Presto, and other SQL-based querying engines
- Expertise in coding and testing of analytical modules using Python, SQL and Spark.
- Expertise in at least one statistical software or machine learning package, such as R or Scikit-learn
- Expertise with optimization techniques and tools such as AIMMS, Gurobi, etc
- Expertise with DevOps tools and CI/CD workflows including Git
- Expertise with sophisticated data mining forecasting & modeling solutions and the tools that support them such as Scikit-learn, PyTorch, and PyMC3
- Well-organized, clear communication, and an ability to handle multiple competing priorities in a fast-paced environment
- Graduate/Post Graduate degree in Statistics, Economics, Applied Mathematics, Computer Science, Engineering or other Quantitative field of study
- Exceptional problem solving skills. Abilities to solve problems independently and within a cross-functional team to resolve any hurdles in the projects
- Critical thinking skills to evaluate results in order to make timely decisions
- Mentor and provide guidance to other data scientists
- (Preferable) Experience working in cloud-based environments such as Azure, AWS, or GCP
- (Preferable) Experience with ETL frameworks like Airflow
- (Preferable) Domain expertise in survey sampling and/or audience measurement
Employment Type: Full Time, Permanent
Read full job descriptionPrepare for Lead Data Scientist roles with real interview advice
What people at Nielsen Sports are saying
What Nielsen Sports employees are saying about work life
based on 179 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Nielsen Sports Benefits
View more benefits
Compare Nielsen Sports with
Sportz Interactive
Compare
SPORTZVILLAGE FOUNDATION
Compare
IMG Reliance
Compare
Baseline Ventures
Compare
ITW Consulting
Compare
Sporting Ethos
Compare
Carnival Cruise Lines
Compare
Royal Caribbean International
Compare
Smaaash Entertainment
Compare
ECOS (I) MOBILITY & HOSPITALITY
Compare
Stats Perform
Compare
Sv Edusports
Compare
Carnival UK
Compare
Musafir.com
Compare
NIVIA SPORTS
Compare
Adi Sports
Compare
Ebaco India
Compare
Sunrise Sports (India)
Compare
Great Rocksport
Compare
Syndicate Innovations International
Compare
Share an Interview