Sr. Data Scientist, Retention & Engagement

Job Description

The Job

We're looking for a Sr Data Scientist to join our customer Data Science team to help improve our customer retention & engagement. As the Sr Data Scientist, you will be responsible for using your expertise in machine learning to solve business challenges including but not limited to Audience Segment, Churn prediction, Causal Inference, Uplifting model.

The Daily
• Apply your statistical and analytical expertise to drive informed decisions about customer retention & engagement.
• Define metrics, understand A/B testing and statistical measurement of model quality
• Understand the data and lead the ETL process to utilize large volumes of first party, second party, and third-party data for modeling purposes
• Evaluate and facilitate the integration of additional sources of data that can enhance analytic capability and continually identify and fix issues that could enforce robust analytic processes
• Work on building and executing plans to optimize the use and value of data to increase consumer engagement and better decision making across the organization.
• Collaborate with
• stakeholders to understand their needs; present models and methodology to senior management and socialize results and learnings within the organization to drive business decisions
• machine learning engineering team to deploy model
• BI and engineering teams to implement the tools needed to support the empowerment of the organization with data.

The Essentials
• Graduate degree in Computer Science, Engineering, Data Science, or other computational disciplines, and PhD preferred
• 4+ years' experience in data science roles
• Significant experience working with relational databases and SQL
• Advanced-level proficiency in Python
• Experience with working in cloud-based environments like AWS
• Excellent verbal and written communications skills

Nice to Haves
• Proven ability in building relationships and collaborating with stakeholders across large organizations.
• Experience with entertainment/media experience
• Experience with Pyspark/Scala

Jobcode: Reference SBJ-gpx8qx-3-15-174-76-42 in your application.