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Overview
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. Who we are: Buyers Edge Platform stands at the forefront of revolutionizing the foodservice industry through technology, purchasing power and partnerships. We empower stakeholders across the entire foodservice ecosystem with efficiency and unprecedented visibility. With a diverse portfolio of brands, our mission is to reduce costs, streamline the foodservice supply chain, and propel the industry from manual to automated. 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
Bachelors or Masters 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 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 if you're excited about the role, we encourage you to apply. You might be exactly who were looking for! Whats 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 race, creed, ancestry, citizenship status, or expression, marital status, military service and veteran status, physical or mental health, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.
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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. Who we are: Buyers Edge Platform stands at the forefront of revolutionizing the foodservice industry through technology, purchasing power and partnerships. We empower stakeholders across the entire foodservice ecosystem with efficiency and unprecedented visibility. With a diverse portfolio of brands, our mission is to reduce costs, streamline the foodservice supply chain, and propel the industry from manual to automated. 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
Bachelors or Masters 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 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 if you're excited about the role, we encourage you to apply. You might be exactly who were looking for! Whats 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 race, creed, ancestry, citizenship status, or expression, marital status, military service and veteran status, physical or mental health, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.
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