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 needed 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 a strong understanding of 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
Experience implementing and overseeing ML platforms and building unified data products across multiple domains
Familiarity with online gaming platforms, trading systems, and marketing technologies
Can write production level code, understand principles of programming
Benefits
Medical
Dental
Vision
Life Insurance
Commuter Benefits
Paid Time Off
Holidays
Employee Resource Groups
Performance-based bonus plan
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.