Key job responsibilities

Design and lead large projects and experiments from beginning to end, and drive solutions to complex or ambiguous problems
Build statistical and AI/ML models to generate actionable insights for the business
Create tools and solve challenges using statistical modeling, machine learning, optimization, and/or other approaches for quantifiable impact on the business
Use broad expertise to recommend the right strategies, methodologies, and best practices, teaching and mentoring others
Key influencer of your team’s business strategy and of related teams’ strategies
Communication and documentation of methodologies, insights, and recommendations for senior leaders with various levels of technical knowledge

BASIC QUALIFICATIONS

- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment

PREFERRED QUALIFICATIONS

- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company