
Data Scientist II – Consumer Experience
Gopuff
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $120,000 - $160,000 per year
Job Level
Mid-LevelSenior
Tech Stack
AWSAzureCloudGoogle Cloud PlatformPythonPyTorchSQL
About the role
- Be innovative. Aim to improve consumer experience for sustainable growth
- Build and enhance machine learning, statistical and causal models for product search, ranking and recommendation that support various business goals
- Work closely with product and engineering team to develop and deploy solutions with cross-functional support
- Build models that support real-time events and internal stakeholder decisions across the business
- Present work to business and engineering leadership
- Identify gaps in existing data, create data product specs, and work with Engineering teams to implement enhanced data solutions
- Are committed to automation and productionalized solutions whenever possible
Requirements
- MS or PhD new grad in statistics, mathematics, computer science or related field
- Experience applying descriptive statistics, machine learning, predictive modeling, and visualization techniques to solve challenging business problems
- Strong Desire to learn and be able to learn quick
- Expert knowledge of statistical and machine learning techniques
- Expect knowledge of Data Science libraries in a programming or scripting language
- Proficient in Python + related ML libraries and frameworks (Ex: PyTorch)
- Proficient in SQL and working with large datasets.
- Excellent communication and presentation skills (to both technical and business audiences)
- Experience with cloud platforms (e.g., AWS, GCP, Azure) and model development and deployment technologies (e.g., Databricks) as a plus.
- Experience about building ranking and recommendation models in production environments as a plus
Benefits
- Medical/Dental/Vision Insurance
- 401(k) Retirement Savings Plan
- HSA or FSA eligibility
- Long and Short-Term Disability Insurance
- Mental Health Benefits
- Fitness Reimbursement Program
- 25% employee discount & FAM Membership
- Flexible PTO
- Group Life Insurance
- EAP through AllOne Health (formerly Carebridge)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningstatistical modelscausal modelspredictive modelingdata visualizationPythonSQLPyTorchlarge datasetsranking models
Soft skills
innovationcommunicationpresentationcross-functional collaborationproblem-solvingdesire to learnquick learningcommitment to automation
Certifications
MS in statisticsMS in mathematicsMS in computer sciencePhD in statisticsPhD in mathematicsPhD in computer science