Senior Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with Product Managers, Engineers, and Analysts to identify and deliver Data Science opportunities.

• Take ownership of the entire Data Science lifecycle, from data wrangling in warehouses to building, deploying models, analyzing experimental results, and assessing model impact.

• Develop machine learning models aimed at personalizing the product and connecting users with appropriate insurance policies.

• Engage with cross-functional stakeholders to comprehend business requirements and create ML-driven solutions.

• Analyze product data, design experiments, and facilitate the collection and integration of new data sources.

• Write clean, maintainable production code for operationalizing models by adhering to software engineering best practices.

• Conduct peer code reviews.

• Provide mentorship to fellow data scientists.

• Promote continuous improvement within the platform and data science practices.

⛳️ Requirements

• Minimum of 5 years of experience in a technical data role.

• At least 3 years of hands-on experience in building machine learning or statistical models.

• A strong mathematical background.

• Familiarity with regression, classification, clustering, and experimental design.

• A solid grounding in software engineering principles.

• High proficiency in core Python and the Python data ecosystem, including libraries such as sklearn and pandas/polars.

• Comfortable managing models in production, including aspects of CI/CD, testing, orchestration, monitoring, and retraining.

• Strong sense of ownership, effective communication, collaboration skills, and a focus on continuous improvement.

• Experience in mentoring junior data scientists is a plus.

• Background in modeling customer or human behavior in a B2C context is advantageous.

• Familiarity with building ML for auction, bidding, or real-time allocation systems is beneficial.

• Experience in designing and interpreting causal measurement, encompassing experiments, quasi-experimental methods, incrementality testing, geo tests, and MMM, is advantageous.

• Experience with reinforcement learning in production, particularly contextual bandits, is a plus.

• Experience in developing ML platforms is advantageous.

• Must possess legal authorization to work in the United States.

• This position is not eligible for visa sponsorship or transfers.

• Must reside in the United States, excluding California and Massachusetts.

🏝️ Benefits

• Competitive Compensation & Stock Option Offering.

• Health, Dental, Vision & Disability Coverage.

• HSA offering with employer contributions.

• 401k plan with employer matching.

• Unlimited PTO (paid time off) with a minimum of three weeks tracked.

• Paid Parental Leave Program.

• Wellness perk offering $100/month.

• Pet Adoption Reimbursement of $300/year.

• Opportunities for Learning & Development.

• Participation in Employee Resource Groups.

• Option for remote work.

• Choice to join the Austin office or select a hybrid setup for employees located around Austin.