The Zebra - Senior Data Scientist
Requirements
• As we evaluate candidates across all roles, we look for folks with a strong sense of ownership, great communication and collaboration skills, and a dedication to continuous improvement. • 5+ years experience in a technical data role with 3+ years of hands-on experience building machine learning / statistical models • 3+ years • MS / PhD in a quantitative field is a plus but not required • Proven mathematical foundation and knowledge of a variety of ML and statistical methods (e.g. regression, classification, clustering, experimental design) • Solid foundation in software engineering with a strong proficiency in both core Python and the Python data ecosystem (sklearn, pandas/polars, etc) • Comfortable owning models in production — CI/CD, testing, orchestration, monitoring, and retraining • Experience mentoring junior data scientists is a plu • Experience that Will Impress the Heck Out of Us • Experience modeling customer/human behavior in a B2C context • Experience building ML for auction, bidding, or real-time allocation systems • Experience designing and interpreting causal measurement: experiments, quasi-experimental methods, incrementality testing, geo tests, MMM • Experience with reinforcement learning in production, especially contextual bandits: running exploration policies against live traffic, off-policy evaluation, and delayed reward attribution • Location • Location • Our company headquarters are in Austin, TX, but our employees work remotely across the US. For folks who live around Austin, we offer the option to join us in our office or opt for a hybrid setup. Whether you prefer the structure of an office, the convenience of remote work, or a mix of both, we support what works best for you! • Please note: at this time we are not able to hire in Massachusetts.
Responsibilities
• Build machine learning models to personalize our product and connect users with the policies that best fit their needs • Work closely with cross-functional stakeholders to understand business needs and develop ML based solutions • Analyze product data, design experiments, and drive the collection and integration of new data sources • Write clean, maintainable production code to operationalize models using best practices from software engineering • Perform peer code reviews, mentor other data scientists, and drive continuous improvement in our platform and practices
Benefits
• Inclusive and healthy environments are crafted intentionally. All of our employees can join and participate in (or create your own!) Employee Resource Groups. Here are some other wonderful perks of working here: • Competitive Compensation & Stock Option Offering • Health, Dental, Vision & Disability Coverages • HSA offering + employer contribution • 401k plan + employer match • Unlimited PTO (paid time off) - with a three-week minimum we actually track • Paid Parental Leave Program • Wellness perk ($100/month) • Pet Adoption Reimbursement ($300/year) • Learning & Development Opportunities • The target base salary for this role is $160,000 - $180,000. The final salary amount will be determined based on a variety of factors, including experience, skills, internal equity, and insights gained throughout the interview process. • Headquartered in Austin, Texas, The Zebra seeks to bring transparency and simplicity to car and home insurance shopping - it's Insurance in black and white.® • We've garnered attention across the industry and across the nation. Check out all of our awards & recognition! • Our core motto is "All Stripes Welcome." As part of our dedication to maintaining an inclusive and diverse workforce, we provide equal employment opportunities (EEO) to all employees and applicants regardless of race, color, religion, sex, national origin, age, disability or genetics. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform core job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation!
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