Data Scientist

We are seeking a Data Scientist – Business Intelligence to join our growing BI organization. In this role, you will help power predictive intelligence across the company through the development of statistical and machine learning models. You will collaborate with BI analysts, data engineers, and business stakeholders to transform raw data into actionable insights that help strengthen data-informed decision making. The ideal candidate is a hands-on modeler who thrives in a fast-paced, collaborative environment and is passionate about transforming business questions into data-driven solutions.

Who we are:

Buyers Edge Platform stands at the forefront of revolutionizing the food service industry through technology, purchasing power and partnerships. We are dedicated to empowering stakeholders across the entire food service ecosystem (operators, distributors, manufacturers) with efficiency and unprecedented visibility. With a diverse portfolio of over a dozen brands, our mission is clear: to reduce costs, streamline the foodservice supply chain, and propel the industry from manual to automated.   

Today, we are one of the largest players in food service, with over 200K operator locations across North America and over $50 billion of aggregated spend volume. Our commitment to food service excellence is proven in four distinct areas of value: Digital Procurement Network, Fresh Solutions, Supply Chain Management, and Software. Buyers Edge Platform is not just a provider – we are a strategic partner on the journey towards a more efficient, connected, and automated future for the foodservice industry. 

This position is remotely based. We are unable to offer work sponsorship for this role.

Your impact:

• Strategic Problem Solving
  • 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.

• Model Development & Deployment
  • 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.

• Innovation & Best Practices
  • Promote rigorous methodology, model interpretability, and transparent communication of findings.
  • Stay current with industry trends and emerging techniques in machine learning, forecasting, and AI.

About you:

• 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. 

Not sure you meet every qualification? Studies show that diverse applicants often hesitate to apply unless they check every box. At Buyers Edge Platform, we value authenticity and inclusion—if you're excited about the role, we encourage you to apply. You might be exactly who we’re looking for!

What's in this for you:

• 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.

We welcome all.

We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances.