RaceTrac Company Overview

Job Description:

The Data Science Architect is a senior technical leader within the Enterprise Strategic Analytics + Data Science team (ESADS), focused on the design, delivery, and deployment of advanced analytics and data science solutions. This role emphasizes technical depth and expertise to drive the execution of high-value data science initiatives while ensuring scalability, reliability, and alignment with organizational goals. The Data Science Architect collaborates with cross-functional teams to deliver solutions that solve complex business challenges and guide the data science team in developing robust methodologies and approaches.

Responsibilities:

Scope of Role:Design and oversee the implementation of data science solutions that address critical business needs and drive measurable outcomes.Act as the technical lead for data science projects, ensuring high-quality delivery of predictive, prescriptive, and optimization models.Develop frameworks and best practices for scalable and repeatable data science methodologies.Collaborate with Strategic Analytics Partners to align technical solutions with business priorities.Provide technical mentorship to the data science team, fostering the development of advanced analytical skills and innovative thinking.Day-to-Day Activities:Lead the design and coding of machine learning models, optimization algorithms, and advanced statistical analyses.Work closely with data engineers and solution architects to ensure seamless integration of models into production systems.Conduct thorough code and model reviews to ensure technical quality and alignment with business objectives.Stay up-to-date on emerging technologies, tools, and methodologies to maintain the team’s cutting-edge capabilities.Partner with cross-functional teams to ensure the successful implementation and operationalization of data science solutions.Expected Outcomes:Deliver high-quality, scalable, and robust data science solutions that directly contribute to business growth and operational efficiency.Establish a technical foundation for advanced analytics that supports ESADS in achieving its strategic goals.Enhance the team’s technical capabilities through mentoring, training, and the implementation of best practices.Complexities:Solve highly complex and ambiguous technical challenges that require innovative and scalable approaches.Balance multiple projects with competing priorities while maintaining focus on technical excellence and timely delivery.Navigate and integrate cutting-edge technologies to advance the organization’s analytics capabilities.

Qualifications:

Required Experience:Master’s or PhD in Data Science, Computer Science, Operations Research, Applied Mathematics, or a related field.8+ years of hands-on experience in data science, with a focus on building and deploying machine learning and optimization models.Extensive experience with programming languages such as Python, R, and SQL, as well as tools like Databricks, TensorFlow, PyTorch, and cloud-based analytics platforms (AWS, Azure, GCP).Proven track record of delivering production-ready models that drive measurable business impact.Experience collaborating with cross-functional teams to operationalize data science solutions.Demonstrable experience with one or many of the following: Demand Forecasting, Flexible Segmentation (Customer, Performance, Weather, etc.), Network Optimization, Predictive Maintenance/Service, Predictive Customer Churn, Price Optimization, Risk Modeling, Marketing Mix Modeling, Customer Journey Analytics, Predictive Staffing Optimization, Staff Attrition/Retention Risk, Next Best Product/Offer, Customer Elasticity (Market Response Modeling), Assortment Optimization, Customer Loyalty Effectiveness/OptimizationBeneficial Experience:Familiarity with advanced optimization techniques and their application to business problems.Consulting experience in analytics-driven industries, such as retail, logistics, or financial services.Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud, Palantir) and MLOps best practices.

All qualified applicants will receive consideration for employment with RaceTrac without regard to their race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.