Complete exploratory data analysis and hypothesis testing to uncover patterns, trends, and opportunities.
Translate ambiguous business problems into clearly defined modeling challenges with measurable outcomes.
Design, build, and validate statistical, predictive, and machine learning models to drive business insights and automation.
Collaborate with relevant stakeholders to identify high-impact opportunities for modeling.
Collaborate with engineering teams to productionize models and integrate them into business workflows and dashboards.
Promote rigorous methodology, model interpretability, and transparent communication of findings.
Stay current with industry trends and emerging techniques in machine learning, forecasting, and AI.

Education in Statistics, Computer Science, Mathematics, or a related field.
2-3 years of experience in data science, analytics, or applied statistics.
Experience with analytics and modeling of large-scale datasets.
(Preferred) Experience with MLOps, model evaluation and monitoring, or deploying models in production environments is a plus.
(Preferred) Experience in foodservice, distribution, or supply chain domains is a plus.
(Preferred) Familiarity with Tableau is a plus.
Understanding of statistical modeling, time series forecasting, and/or supervised learning techniques.
Ability to identify and evaluate hypothesis in data analysis and modeling.
Strong proficiency in Python (e.g. pandas, scikit-learn, statsmodels) and SQL for analysis, model building, and data visualization.
Ability to communicate insights to technical and non-technical stakeholders.

Great benefits from day one. We offer medical, dental, vision, FSA, company-paid life insurance, and more—plus a 401(k) with company match.
Grow with us. Enjoy strong training, development, and competitive pay.
Work-life balance. Our flexible PTO policy lets you take time when you need it—no accrual required.

Data Scientist

Key skills