Total Wine & More Logo

Total Wine & More

Sr. Data Scientist- Operations Research

Posted Yesterday
Remote
Hiring Remotely in Maryland, USA
122K-165K Annually
Senior level
Remote
Hiring Remotely in Maryland, USA
122K-165K Annually
Senior level
Leads the design, development, and production deployment of large-scale operations research and optimization solutions for pricing, inventory, supply chain, and marketing decisions. Builds LP, MILP, and MINLP models; uses optimization solvers; develops APIs, data pipelines, monitoring, and automation; evaluates model performance; and partners with stakeholders to translate business problems into actionable decision systems.
The summary above was generated by AI
About the Role

Total Wine & More is seeking a Senior Data Scientist, Operations Research to join our Data Services team in Bethesda, MD. In this role, you will lead the design and deployment of optimization and decision science solutions that directly drive business outcomes across Total Wine & More. This role focuses on solving complex, large-scale mathematical problems to inform strategic and operational decisions, including pricing, inventory, supply chain, and marketing optimization. You will work at the intersection of data, mathematical modeling, and decisioning systems, translating business problems into formal optimization frameworks and delivering production ready solutions. This role requires deep hands-on experience in operations research (OR), including building and solving large-scale optimization models, alongside strong data engineering and software skills to operationalize those solutions. This role will report to the Sr. Director, Data Science.

You will
  • Formulate decision problems as mathematical optimization models (LP, MILP, MINLP), translating business constraints and objectives into structured frameworks
  • Design and implement large-scale optimization models, solving complex problems involving thousands to millions of variables and constraints
  • Leverage solvers such as Gurobi (preferred) or equivalent tools to build high-performance solutions, including model tuning and performance optimization
  • Develop end-to-end decision systems, integrating optimization outputs into production workflows and business processes
  • Collaborate with business stakeholders to define objective functions, constraints, and trade-offs, ensuring solutions align with real-world decision-making
  • Evaluate solution quality through scenario testing, sensitivity analysis, and stress testing of optimization results
  • Scale and productionize models, including API development, automation, monitoring, and retraining workflows
  • Build and maintain data pipelines to support optimization models, ensuring data quality, availability, and performance at scale
  • Communicate model structure, assumptions, and results clearly to leadership, translating complex math into actionable business insights
You will come with
  • Bachelor's Degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or related field or equivalent years of experience
  • Master's Degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or related field or equivalent years of experience
  • 3-6 years’ experience in Operations Research / Optimization or related fields preferred
  •  Hands-on experience with Gurobi (strongly preferred) or similar solvers (CPLEX, OR-Tools, etc.)
  • Proven experience building and deploying large-scale mathematical models (LP, MILP, etc.) in production environments
  • Ability to design and maintain data pipelines for large-scale modeling workflows and experience working with large, complex datasets, including feature engineering and data validation
  • Proficiency in Python and SQL, with emphasis on scalable, maintainable code
  • Familiarity with cloud environments (AWS, Azure, GCP) for scalable execution
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! 
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. 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.

Worker Type: Regular

Pay Range:$122,200.00 - $165,000.00 Annual

Similar Jobs

4 Hours Ago
Remote or Hybrid
Austin, TX, USA
45K-85K Annually
Junior
45K-85K Annually
Junior
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound calls and warm leads, assess customers’ insurance needs, recommend appropriate property and casualty coverages, and convert prospects into policyholders. Complete paid training and obtain a Property and Casualty license if needed. Maintain strong customer communication, persuasion, organization, and computer skills while working remotely on assigned schedules, including one weekend day.
Top Skills: Cable InternetDsl InternetFiber InternetPcWired High-Speed Internet
5 Hours Ago
Remote or Hybrid
United States
111K-180K Annually
Senior level
111K-180K Annually
Senior level
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Leads architecture, modernization, optimization, and reliability initiatives for mainframe CICS, MQ, and z/OS Connect environments. Provides technical direction across development and operations teams, establishes governance and change processes, tunes performance using telemetry, resolves incidents, and develops modernization roadmaps. Collaborates with stakeholders and enterprise architects to deliver secure, scalable, high-availability solutions while evaluating automation, cloud integration, and AI technologies.
Top Skills: AnsibleCicsCobolDevOpsIbm MqIbm Z/OsOpenshiftPythonRed Hat Ansible Automation PlatformZ/Os ConnectZlinux
5 Hours Ago
Remote or Hybrid
United States
111K-180K Annually
Senior level
111K-180K Annually
Senior level
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Leads the architecture, modernization, resilience, security, and performance optimization of enterprise mainframe environments. Responsibilities include z/OS performance tuning, WLM and RACF administration, business continuity planning, automation, technical governance, incident resolution, stakeholder collaboration, and guidance of cross-functional engineering and operations teams. The role also evaluates cloud, DevOps, AI, and hybrid IT technologies for mainframe transformation.
Top Skills: AnsibleCsmGlobal MirrorIbm Z/OsMetro MirrorOpenshiftPr/SmPythonRacfRed Hat Ansible For Ibm Z CollectionsRmfSmfWlmZlinux

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account