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