About the Role
Total Wine & More is seeking a Senior 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. You will be expected to act independently to deliver high-impact solutions, taking ownership of projects from concept to execution with minimal oversight. This role reports to the Senior Director, Data Science.
You will
- Be responsible for designing machine learning and AI models by framing business problems, engineering features, and selecting appropriate algorithms and architectures. When designing solutions create processes that can be utilized for multiple business reasons and is adaptable.
- Train models by preparing data, fitting algorithms, tuning hyperparameters, and validating robustness through cross-validation techniques. Prior to development able to articulate the trade-off on different modeling techniques and implications when applied to business problem.
- Validate model performance using statistical metrics, conduct fairness and bias assessments, and perform error analysis to refine model quality. Create evaluation metrics and results that tie to business outcomes.
- Deploy models into production environments by packaging them appropriately, integrating with systems, automating deployment workflows, including robust error handling 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 stakeholder.
You will come with
- Bachelor's Degree in Data Science, Computer Science, Mathematics, Statistics, Economics or related fields required or equivalent years of experience.
- Master's Degree in Computer Science, Mathematics, Statistics or related field is preferred.
- 3-6 years experience in data science, computer science, software engineering, data engineering or related fields is preferred.
- Proven expertise in designing and architecting advanced machine learning and AI solutions, including leading efforts to frame complex business problems, define scalable feature engineering strategies, and select optimal algorithms and architectures for enterprise-level applications.
- Advanced proficiency in model training and optimization, with the ability to design efficient training pipelines, implement distributed training strategies, and apply sophisticated hyperparameter tuning techniques to maximize performance and scalability.
- Deep experience in model validation and governance, including establishing rigorous evaluation frameworks, conducting comprehensive fairness and bias audits, and driving continuous improvement through advanced error analysis and benchmarking.
- Proven expertise in production deployment of ML systems, including designing robust CI/CD pipelines, implementing containerization and orchestration (e.g., Docker, Kubernetes), and ensuring compliance with security and reliability standards across cloud environments.
- Oversight of model monitoring and lifecycle management, including building automated monitoring systems, implementing drift detection and retraining workflows, and defining alerting mechanisms to maintain long-term model health and business impact.
- Strong cloud expertise (AWS, Azure, GCP) for architecting scalable ML solutions, leveraging cloud-native services for data processing, model deployment, and monitoring at enterprise scale.
- Expert-level programming skills in Python and SQL, with the ability to develop production-grade code, optimize queries for large-scale datasets, and mentor team members on best practices for coding and data management.
We offer
- 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!
Grow with us
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.
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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.
Worker Type:
Regular
Pay Range:
$122,200.00 - $165,000.00 Annual
