Senior Data Scientist, Supply Chain
Daily Harvest
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Posted:
April 26, 2023
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Remote
About the position
Daily Harvest is seeking a Senior Data Scientist to join their Data Science and Machine Learning team to work on supply chain challenges. The ideal candidate will have at least 5 years of experience in a data science or supply chain analytics role, with a focus on business impact and efficiency. They will be responsible for developing ML-based demand forecasting and portfolio management tools to support supply chain optimization, inventory management, and demand forecasting, as well as identifying and quantifying risks in the supply chain and developing strategies to mitigate them. The anticipated annual base salary range for this role is $160k-$190k.
Responsibilities
- Work with supply chain and operations teams to identify needs and develop machine learning solutions
- Develop ML-based demand forecasting and portfolio management tools for supply chain optimization, inventory management, and demand forecasting
- Identify patterns, trends, and opportunities for optimization in supply chain and operations
- Collaborate with cross-functional teams to implement data-driven solutions for operational efficiency and improved customer experience
- Design and develop statistical and machine learning models for demand forecasting and inventory optimization
- Build simulations to help stakeholders understand risks of various decisions
- Identify and quantify risks in the supply chain and develop strategies to mitigate them
- Stay current with latest developments in supply chain analytics and contribute to company's thought leadership in this area
- Lead and mentor junior data scientists and analysts.
Requirements
- Minimum of 5 years of experience in a data science or supply chain analytics role
- Deep focus on business impact and efficiency
- Strong hands-on experience with at least two demand forecasting methods (e.g., ARIMA, Exponential Smoothing, Probabilistic Forecasting, Bayesian Forecasting, etc.)
- Hands-on familiarity with various demand forecasting libraries (e.g., GluonTS, STAN, NeuralForecast, etc.)
- Strong hands-on experience with linear programming and linear optimization (e.g., linear programing, mixed-integer linear programming, network optimization, etc.)
- Hands-on experience building simulations either from scratch or using libraries such as PySim
- Excellent analytical and problem-solving skills, with a strong attention to detail. An uncanny ability to take supply chain and other operations challenges and turn them into machine learning projects
- Experience with our data stack: SQL, Python, dbt, Airflow, and Fivetran. Familiarity with the Google Cloud Platform ecosystem is helpful (e.g., BigQuery, VertexAI, etc.)
- Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders
- Experience leading and mentoring junior data scientists and analysts
- Passionate about setting up and improving team processes around coding standards, MLOps, project management, and knowledge transfer