Position Overview:
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 a high-growth startup that is revolutionizing hyper-local e-commerce. We warehouse and deliver thousands of products to your door super fast. We're currently operating in over 700+ cities within the US and expanding quickly.
As a Data Scientist at Gopuff, you’ll build and deploy machine learning models for all sorts of highly important use cases - including recommendation and personalization, predictive LTV, pricing optimization, predictive inventory planning, operations optimization, etc. You will also drive changes that increase efficiencies and improve the customer experience. 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.
Key Responsibilities:
Collaborate with our business and engineering partners across the organization to deliver data science 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
Build Recommender Systems and personalization solutions to greatly enhance shopping experience
Build models that support real-time events and internal stakeholder decisions across the business - from Marketing and Merchandising to Operations and Supply Chain
Productionize and deploy models using cloud based tech stacks including Snowflake, Databricks, Azure Ecosystems and etc.
Drive adoption of data products and data science 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 Analytics team members and other functions to share insights and best practices, ensuring consistency of data-driven decision-making throughout the org
Required Qualifications:
Currently pursuing a Masters or Ph.D. in statistics, mathematics, analytics, computer science, engineering or another quantitative field from an accredited university or college
Graduating between December 2022 - June 2023
Preferred Qualifications:
Hands-on experience applying descriptive statistics, machine learning, predictive modeling to solve challenging problems
Programming skills in Python
Data querying skills in SQL
Excellent communication and presentation skills
Ability to explain technical concepts in simple terms to business stakeholders
Move fast, be a team player, always be learning and give back