Data Scientist, Algorithms, Optimization - Fulfillment

Responsibilities

• Leverage data and analytic frameworks to direct creations and improvements of algorithms and models underpinning the team’s systems and products
• Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context
• Perform exploratory data analysis to gain a deeper understanding of the problem
• Construct and fit statistical, machine learning, or optimization models
• Write production modeling code; collaborate with Software Engineers to implement algorithms in production
• Design and implement both simulated and live traffic experiments
• Analyze experimental and observational data; communicate findings; facilitate launch decisions
• Develop measurement methodologies to monitor the health of our products, as well as the impacts on user outcomes and marketplace outcomes
• Drive collaboration and coordination with cross-functional teams

Requirements

• M.S. or Ph.D. in Machine Learning, Statistics, Operations Research, Computer Science, Mathematics, or other quantitative fields
• 2+ years professional experience in a technology company setting
• Proven experience with building and evaluating machine learning models
• Proficiency with Python and working in a production coding environment
• Passion for solving unstructured and non-standard mathematical problems
• End-to-end experience with data, including querying, aggregation, analysis, and visualization
• Strong oral and written communication skills, and ability to collaborate and communicate with others to solve a problem

Qualifications

• Experience with data science tools and techniques
• Understanding of statistical methods and machine learning algorithms
• Knowledge of data structures and algorithms
• Experience with data visualization tools
• Experience with cloud-based platforms and services

Skills

• Data analysis
• Machine learning
• Python programming
• Collaboration and teamwork
• Problem-solving

Benefits

• Great medical, dental, and vision insurance options
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan
• Discretionary paid time off
• 18 weeks of paid parental leave
• Subsidized commuter benefits
• Lifty Pink - exclusive benefits for team members
• Hybrid work schedule with in-office days

Pay

The expected base pay range for this position in the Seattle area is $128,000 - $160,000.

Schedule

This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays.