Data Scientist Insurance Jobs (NOW HIRING)

Total Wine & More is seeking a Data Scientist to join our growing Data Services team in our Bethesda, MD office. You will play a pivotal role in designing, developing, and deploying machine learning and AI solutions that drive strategic decision-making and operational efficiency across Total Wine & More business. You will be responsible for supporting the full lifecycle of machine learning and AI development-from initial ideation and business problem framing through model development, deployment, and ongoing performance monitoring. This role requires a strong foundation in data science, with a deep interest in learning about production-grade ML systems, and a proactive approach to translating business needs into technical solutions. This role reports to the Senior Director, Data Science.

• Be responsible for designing machine learning and AI models by framing business problems, engineering features, and selecting appropriate algorithms and architectures.
• Train models by preparing data, fitting algorithms, tuning hyperparameters, and validating robustness through cross-validation techniques.
• Validate model performance using statistical metrics, conduct fairness and bias assessments, and perform error analysis to refine model quality.
• Deploy models into production environments by packaging them appropriately, integrating with systems, automating deployment workflows, and documenting for maintainability.
• Monitor deployed models by tracking performance over time, detecting data drift, triggering retraining when necessary, and implementing logging and alerting mechanisms.
• Communicate model results and trade-offs to leadership and stakeholders.

• Bachelor's Degree in Data Science, Computer Science, Mathematics, Statistics, Economics or related fields required or equivalent years of experience
• 1-4 years of experience in data science, predictive analytics, econometrics or related fields preferred
• Hands-on business experience designing machine learning and AI models by framing business problems, engineering features, and selecting appropriate algorithms and architectures.
• Experience in training models through data preparation, algorithm fitting, hyperparameter tuning, and cross-validation to ensure robustness and generalizability.
• Hands-on business experience in validating model performance using statistical metrics, conducting fairness and bias assessments, and performing error analysis to improve model quality.
• Hands-on business experience in deploying models into production environments, including packaging, system integration, automation of deployment workflows, and maintaining clear documentation.
• Hands-on business experience in monitoring deployed models by tracking performance, detecting data drift, triggering retraining, and implementing logging and alerting mechanisms.
• Preferred hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and automation tools(Airflow, Argo, etc.) for scalable model development, deployment, and monitoring, including use of cloud-native tools and services for data science workflows.
• Proficiency in Python for data analysis, modeling, and automation, along with strong SQL skills for data extraction, transformation, and querying across large-scale databases

• Paid Time Off (PTO)
• Generous store discounts
• Health care plans (medical, prescription, dental, vision)
• 401(k), HSA, FSA, Pre-tax commuter benefits
• Disability & life insurance coverage
• Paid parental leave
• Pet insurance
• Critical illness and accident insurance
• Discounted home and auto insurance
• College tuition assistance
• Career development & product training
• Consumer classes
• & More!

We recognize our team members are our biggest asset, and we value the critical role each play in contributing to the company's success. It is our commitment to support and provide access to the resources needed to take care of their health and wellbeing. That is why we offer a variety of benefits, tools, and resources to support through our Total Rewards program. To view our full career page, click here: https://careers.totalwine.com/!

Total Wine & More considers several factors when establishing compensation. Compensation may vary based on a number of factors including, but not limited to, market location, job-related knowledge, skills and/or experience. The actual hourly rate will equal or exceed the required minimum wage applicable to the job location. Estimated salaries determined by third parties have not been validated by Total Wine & More.

Total Wine & More is an equal opportunity employer and all qualified applicants will receive consideration for employment without discrimination based on race, color, religion, national origin, sex, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Total Wine & More makes reasonable accommodations during all aspects of the employment process, including during the interview process. Total Wine & More is a Drug Free Workplace.

The information provided above indicates the general nature and level of work required of the position and is not a comprehensive list of all responsibilities or qualifications. Benefits list is only a highlight of some of the benefits offered to team members; eligibility for certain benefits apply. The anticipated close date of this posting is 120 days from the posted date indicated above.