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Full Time Job

Data Scientist - Retention & Engagement

HBO

New York, NY 10-21-2021
 
  • Paid
  • Full Time
  • Senior (5-10 years) Experience
Job Description
The Job

We are looking for a data scientist to join the Consumer Data Science team at HBO Max.

You will be working on challenging problems that will help propel HBO Max to new heights. You will get to flex your statistical and machine learning skills on solving problems like customer segmentation, propensity modeling, real-time decision engines, and experimentation. You will work with cross-functional partners to solve broader business problems with data-driven insights and algorithmic thinking.

The Daily
• Develop solutions and build prototypes to solve business problems using machine learning and statistical analysis
• Define metrics, understand A/B testing and statistical measurement of model quality
• Understand the data and ETL process, and able to write SQL code to generate features for your model
• Create impact by solving ambiguous problems and driving clarity.
• Synthesize analytics and statistical approaches into easy-to-consume storylines, both visually and verbally, and provide actions for executive audiences.

The Essentials
• M.S. or Ph.D. degree in Statistics, Machine Learning, Operations Research, or other quantitative fields. (If B.S. with five or more years of experience in relevant fields)
• 3+ years of experience with estimation, experimental design, hypothesis and A/B testing
• Hands-on experience with Causal Inference model
• Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, and analytics.
• Experience in experimental design and analysis.
• Proficiency in Python and SQL.

Nice to Haves
• Experience with Causal Inference model
• Proven ability in building relationships and collaborate with stakeholders across large organizations.
• Excellent verbal and written communications skills.
• Experience with multi-armed bandits.

Jobcode: Reference SBJ-gpxpj0-18-191-202-72-42 in your application.