Key skills
PythonSparkSQLMachine LearningMLMLflowAnalyticsSnowflakeSageMakerLeadershipA/B TestingDecision Making
About this role
Role Overview
- Develop and deploy machine learning models to drive personalized recommendations and user experiences across business units
- Perform analysis on large and complex data sets utilizing relevant tools (SQL, Python, Spark) and provide strategic contributions
- Use statistical and machine learning techniques to segment users and predict future behaviors, developing automated logic and decision algorithms to deliver a better experience to the customer
- Lead projects from start to finish, set proper expectations, and collaborate with other data scientists, ML engineers, and product managers to communicate technical findings and support data driven decision making
- Oversee the integration and deployment of cross-functional and cross-organizational projects, developing process improvements and technical leadership
- Stay up to date on the latest advancements in data science and leverage cutting edge technology
- Mentor, brainstorm with, and enable others within the DS team and broader Data organization
Requirements
- Bachelor’s degree in a highly numerate major (Computer Science, Economics, Mathematics, etc.) or a related field
- 5+ years of experience in data science, creating and deploying models
- Strong expertise in ML modeling, predictive analytics, segmentation, and recommender systems
- Hands on experience working in customer personalization and understanding the technical elements required in building and maintaining advanced models
- Experience in experimentation to validate models' impact and ability to quantify that impact
- Experience with Python, SQL, Spark, Snowflake, and ML infrastructure tools like MLflow and SageMaker
- Experience with statistical modeling, A/B testing, and customer segmentation techniques
- Familiarity with online gaming platforms, trading systems, and marketing technologies
- Can write production level code, understand principles of programming
Tech Stack
- Python
- Spark
- SQL
Benefits
- Medical, Dental, Vision, Life, and Disability Insurance
- 401(k) with company match
- Pre-tax spending accounts including health care FSA and commuter savings
- Flexible paid time off
- Professional development reimbursement and ongoing skills training opportunities
- Employee resource groups
- Swag, ticket giveaways, and more!