Data Scientist

Buyers Edge Platform; United States; Remote; USD 125,000 - 249,000; Full time

Job summary

A leading company in the foodservice industry seeks a Data Scientist to enhance demand forecasting through advanced models and data analysis. You will work with large-scale data and collaborate across teams to drive business decisions. Enjoy a remote work environment with a focus on performance, extensive benefits, and opportunities for professional growth.

Benefits

Medical, dental, and vision coverages

401(k) plan with company match

Personal Responsibility Paid Time Off policy

Flexible spending accounts for health and dependent care

Competitive compensation and training programs

Qualifications

• 3-5+ years of hands-on experience in data science focusing on forecasting and time series modeling.
• Expert-level proficiency in Python and pandas for data analysis.
• Strong knowledge of forecasting models including ARIMA, Prophet, and TensorFlow based models.

Responsibilities

• Design and maintain forecasting models to predict demand across products and locations.
• Leverage statistical and machine learning methods to improve forecast accuracy.
• Build clean, efficient data pipelines using Python and SQL.

Skills

Python

Data analysis

Statistical modeling

Machine learning

Time series forecasting

Education

Bachelor's or Master’s degree in computer science, statistics, mathematics, or a related field.

Tools

SQL

TensorFlow

ARIMA

XGBoost

Job description

Join to apply for the Data Scientist role at Buyers Edge Platform

Join to apply for the Data Scientist role at Buyers Edge Platform

Who are we?

Buyers Edge Platform stands at the forefront of revolutionizing the foodservice industry through technology, purchasing power and partnerships. We are dedicated to empowering stakeholders across the entire foodservice 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.

Who are we?

Buyers Edge Platform stands at the forefront of revolutionizing the foodservice industry through technology, purchasing power and partnerships. We are dedicated to empowering stakeholders across the entire foodservice 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 foodservice, with over 200K operator locations across North America and over $50 billion of aggregated spend volume. Our commitment to foodservice 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.

We are focused on performance not presence. What matters is not that you are sitting in front of your computer from 9am to 5pm, but rather that you build highly effective and efficient software within the agreed upon timelines. In practice this might mean working extra hours some days in order to hit a timeline, while having other days that allow for more free time and recovery.

Our goal is for Buyers Edge to be a place where people are able to work in a way that is the most efficient and effective for them, so that we can all enjoy the solutions we build and the team we are on.

We are seeking a highly skilled Data Scientist to lead the development of demand prediction models that help restaurant operators make smarter ordering decisions. In this role, you'll work with large-scale purchasing and operational data to deliver accurate, timely, and actionable forecasts that directly impact efficiency, revenue, and customer satisfaction. You'll be a core member of our data science team, applying advanced time series methods and machine learning models to the unique dynamics of the foodservice industry.

Your impact:

• Design, build, and maintain forecasting models to predict demand across products, distributors, and customer locations
• Leverage a variety of methods including statistical models (ARIMA, exponential smoothing), machine learning (XGBoost), and deep learning (TFT, LSTM with TensorFlow)
• Explore and integrate external signals such as holidays, seasonality, and weather patterns to improve forecast accuracy
• Work closely with internal stakeholders across Product and Engineering to align model outputs with business use cases
• Build clean, efficient data pipelines in Python using pandas and SQL to prepare features and historical training data
• Monitor, evaluate, and improve model performance using appropriate error metrics (e.g., MAPE, RMSE)
• Develop automated evaluation and retraining workflows for long-term scalability
• Document methodology, assumptions, and model limitations to enable cross-team understanding and reproducibility
• Present results clearly to both technical and non-technical stakeholders, driving decisions with data-backed insights
• Autonomously propose model improvements, research new approaches, and prioritize projects based on business value
  
  

About you:

• Bachelor's or Master’s degree in computer science, statistics, mathematics, or a related field.
• 3-5+ years of hands-on experience in data science with a focus on forecasting, demand planning, or time series modeling.
• Expert-level proficiency in Python and pandas for data analysis and feature engineering
• 3–5+ years of experience working as a Data Scientist, with a strong emphasis on forecasting or time series modeling
• Strong knowledge of forecasting models including ARIMA, Prophet, XGBoost, and TensorFlow-based models (especially Temporal Fusion Transformers or LSTMs)
• Solid understanding of SQL for querying large datasets
• Experience with model evaluation metrics, hyperparameter tuning, and time series cross-validation techniques
• Familiarity with cloud tools (e.g., AWS S3, EC2)
• Strong communication skills — capable of translating model results into business recommendations
• Experience in the restaurant, supply chain, or foodservice industry a plus but not required
  
  

What's in this for you?

Amazing coverages to start. Medical, dental, and vision coverages are just the beginning! We also offer ancillary plans, such as flexible spending accounts for both health and dependent care, critical illness, accident, and voluntary life as well as company paid life and long-term-disability plans! On top of this, we also offer a 401(k) plan with company match.

Invest in your success. We will provide you with a thorough training and development program; and offer competitive compensation.

Live well = Work well. Relax with our Personal Responsibility Paid Time Off policy where you don’t have to accrue time off in order to take it! We also offer half-day Summer Fridays!

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Hospitality

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