Data Scientist
Supply Chain
Posted on 7/19/2023
INACTIVE
Subscription-based food delivery
Company Overview
Daily Harvest is on a mission to make it easy to eat more fruits + vegetables every day.
Consumer Goods
B2C
Company Stage
Private
Total Funding
$120M
Founded
2015
Headquarters
New York, New York
Growth & Insights
Headcount
6 month growth
↓ -11%1 year growth
↓ -22%2 year growth
↓ -20%Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
BigQuery
Data Analysis
Data Science
Google Cloud Platform
Airflow
Management
SQL
Python
Communications
CategoriesNew
Operations & Logistics
Data & Analytics
Requirements
- Minimum of 2-3 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 such as 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
- Passionate about setting up and improving team processes around coding standards, MLOps, project management, and knowledge transfer
Responsibilities
- Work with our supply chain and operations teams to identify our most pressing needs and develop end-to-end machine learning solutions
- Develop ML-based demand forecasting and portfolio management tools to support supply chain optimization, inventory management, and demand forecasting
- Work closely with the supply and operations teams to identify patterns, trends, and opportunities for optimization
- Collaborate with cross-functional teams to design and implement data-driven solutions that drive operational efficiency and improve the customer experience
- Design and develop statistical and machine learning models to forecast demand and optimize inventory levels
- Build simulations to help stakeholders understand the risks of various decisions
- Identify and quantify risks in the supply chain and develop strategies to mitigate them
- Stay current with the latest developments in supply chain analytics and contribute to the company's thought leadership in this area