Data Scientist, Forecasting, Supply Chain & Labor Planning

Are you passionate about advanced analytics and data science? Do you describe yourself as an innovative problem solver? Looking for an opportunity that will directly impact the customer experience at GoPuff? Come join the GoPuff Data Science team and #ChangeTheGame.
GoPuff is revolutionizing hyper-local e-commerce. We warehouse and deliver thousands of products to your door super fast.
As a Data Scientist on the GoPuff Forecasting and Labor Planning team, you’ll build and deploy models for important use-cases within warehouse and operations - including supply chain planning, operations optimization, and driver resource management. You’ll have the opportunity to make a huge impact on the future success of GoPuff.
We’re looking for a doer, problem solver, and thought-leader.

Responsibilities

• Develop high-quality data science solutions for various business needs, including supply chain, operations, delivery planning, Ads planning, finance, etc.
• Implement code that automatically generates key inputs to operational business processes using machine learning and optimization methods. Examples include building machine learning models that generate forecasts and the creation of innovative optimization methods that produce labor plans
• Collaborate with our business and engineering partners across the organization to deliver algorithmic solutions for practical business problems. Work with the project leads and product managers to identify and scope new opportunities for data science projects and implement advanced analytics solutions that become essential to our daily business operations
• Productionalize and deploy models using cloud-based tech stacks including Snowflake, Databricks, Azure Ecosystems and etc. 
• Drive adoption of data products and data science team solutions into the planning process for investment decisions with finance and the leadership teams
• Identify gaps in existing data, create data product specs, and work with Engineering teams to implement enhanced data tracking
• Partner with cross-functional teammates to share insights and best practices, ensuring consistency of data-driven decision-making throughout the org

Qualifications

• 3-5 years of experience in data science
• MS or PhD in statistics, mathematics, analytics, computer science, engineering or another quantitative field
• Hands-on experience applying descriptive statistics, machine learning, optimization, and visualization techniques to solve challenging business problems
• Expert programming skills in Python or a general programming language
• Data querying skills in SQL
• Experience deploying models in a production environment
• Excellent communication and presentation skills
• Ability to explain technical concepts in simple terms to business stakeholders
• Experience with operations research and working with OR specialists preferred
• Knowledge of business problems and technical solutions in supply chain and labor planning contexts preferred
• Move fast, be a team player, always be learning and give back

BenefitsWe want to help our employees stay safe and healthy! We offer comprehensive medical, dental, and vision insurance, optional FSAs and HSA plans, 401k, commuter benefits, supplemental employee, spouse and child life insurance to all eligible employees.
We also offer:-Gopuff employee discount-Career growth opportunities-Internal rewards programs-Annual performance appraisal and bonus-Equity program 
At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it—stuff happens. But that’s where we come in, delivering all your wants and needs in just minutes.
And now, we’re assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world.
Like what you’re hearing? Then join us on Team Blue.
Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.