Remote Principal Data Scientist, Consumer Experience
Posted
This job is closed
This job post is closed and the position is probably filled. Please do not apply.
🤖 Automatically closed by a robot after apply link
was detected as broken.
Description:
Gopuff is seeking a Principal Data Scientist for the Consumer Experience team to solve impactful problems using data science.
The role involves building solutions that change how people purchase daily goods, with a focus on enhancing the consumer experience through search and recommendations.
The Data Scientist will work on high-impact projects, taking ownership from prototype to productionalization, and will refine existing systems in retrieval, ranking, and query understanding.
Responsibilities include building and enhancing machine learning, statistical, and causal models for product search, ranking, and recommendation.
The position requires collaboration with product and engineering managers to develop and deploy solutions, as well as educating business and engineering partners on data science concepts.
The Data Scientist will present work to leadership, identify gaps in existing data, create data product specifications, and work with engineering teams to implement enhanced data tracking.
The role also involves partnering with analytics team members to share insights and best practices, committing to automation and productionalized solutions, and providing mentorship to less experienced data scientists.
This is a remote position.
Requirements:
A Master's or PhD in statistics, mathematics, analytics, computer science, or another quantitative field, along with 3+ years of experience as a data scientist in eCommerce or Logistics, or 8+ years of experience in the same fields.
Hands-on experience in building ranking and recommendation models in production environments is required.
Experience in applying descriptive statistics, machine learning, predictive modeling, and visualization techniques to solve challenging business problems is necessary.
Expert knowledge in statistical and machine learning techniques, data science libraries in a programming or scripting language, model deployment, and machine learning workflows is essential.
Proficiency in Python and related ML libraries and frameworks (e.g., PyTorch), SQL, and working with large datasets is required.
Experience with cloud platforms (e.g., AWS, GCP, Azure) and model development and deployment technologies (e.g., Databricks) is necessary.
Excellent communication and presentation skills to both technical and business audiences are required.
Benefits:
Gopuff offers a competitive salary range for this position, with the remote US range being $160,000 - $260,000, based on market pricing and individual qualifications.
The company is committed to an inclusive workplace and encourages diversity, providing equal employment opportunities without discrimination.
Employees are part of a motivated team driving forward the vision of convenience and predictability in daily life.