Lead Data Scientist

Retail Services & Systems, Inc; Town of Florida (NY); On-site; USD 147,000 - 198,000; Full time

Benefits offered by this job

PTO

Store discounts

Health care plans

401(k)

Job summary

Total Wine & More is seeking a Lead Data Scientist to join our Data Services team in Boca Raton, FL. You will design, develop, and deploy machine learning and AI solutions that drive strategic decision-making and operational efficiency across the business.

This role requires ownership of projects from concept to execution, mentoring junior teammates, and communicating trade-offs to leadership. You will work across production-grade ML systems and leverage Python, SQL, Docker, and Kubernetes to

Qualifications

• Bachelor's degree in Data Science, CS, Math, Statistics, Economics, or related field.
• 5–8 years in data science, predictive analytics, econometrics, software engineering, data engineering or related fields.
• Proven expertise in designing and architecting enterprise ML/AI solutions.
• Experience with model training, distributed training, and hyperparameter tuning.
• Proven experience deploying ML systems with CI/CD, Docker, Kubernetes, and cloud security/reliability standards.
• Model monitoring, drift detection, retraining workflows, and governance.
• Expert-level programming in Python and SQL; production-grade code and mentoring.

Responsibilities

• Frame business problems, engineer features, and select algorithms and architectures for ML solutions.
• Deploy models to production, automate deployment, and ensure robust error handling.
• Monitor model performance, detect data drift, and retrain as needed.
• Mentor junior team members and provide technical leadership.
• Communicate model results and trade-offs to leadership and stakeholders.

Skills

Python

SQL

Machine Learning

ML pipelines

CI/CD

Docker

Kubernetes

Model monitoring

Data story-telling

Education

Bachelor's degree in Data Science/CS/Math/Stats/Economics or related fields

Master's degree in CS/Math/Stats or related field

Tools

Docker

Kubernetes

Python

SQL

Job description

About the Role

Total Wine & More is seeking a Lead Data Scientist to join our growing Data Services team in our Boca Raton, FL 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 technical solutions, taking ownership of projects from concept to execution. You will mentor junior team members on technical trade-offs on solutions and provide thought leadership about how different problems can be solve. 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. Responsible for larger more complex business problems that are multi-dimensional. 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. Able to articulate how model performance gain equates to business value. Deploy models into production environments by packaging them appropriately, integrating with systems, automating deployment workflows, including robust error handling and documenting for maintainability. 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. Working with junior team members to discuss trade-offs and solutions for team members business problems. Provide thought leadership on different ways to advance the business utilizing machine learning and AI. Communicate model results and trade-offs to leadership and stakeholder.

Qualifications

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 preferred. 5-8 years in data science, predictive analytics, econometrics, software engineering, data engineering or related fields 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. Proven expertise 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. Proven expertise in model validation and governance, including establishing rigorous evaluation frameworks, conduct 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. 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. Working with junior team members to discuss trade-offs and solutions for team members business problems. Provide thought leadership on different ways to advance the business utilizing machine learning and AI.

Benefits

• 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!

Mission and Culture

Crafted for you 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. Connecting people through joyful experiences! As America’s largest independent retailer of wine, spirits, beer & more, we’re looking for go-getters who want to spark joy with our customers and communities. We are excited you’re here and are ready to pop a bottle with your name on it! As we continue to expand our business and increase the number of Stores and Store Support Centers across the country, we are looking for motivated and talented people to join our team to provide best-in-class service. If you have an entrepreneurial spirit and are looking for a unique opportunity to develop your career, this may be the place for you!

Compensation

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.

Equal Opportunity and Policies

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.

General Information

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.

Additional Information

Worker Type: Regular

Pay Range: $146,600.00 - $197,900.00 Annual