Senior Data Scientist - Production ML & Impact (Remote)

Prove; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive salaries & bonus

Equity plan

Comprehensive medical benefits

Unlimited vacation

Wellness and stipend programs

Job summary

Prove seeks a Senior Data Scientist to advance production-ready models that drive measurable business outcomes across enterprise customers. You will partner with Senior Machine Learning Engineers to deploy, monitor, and continually improve algorithms in live systems.

You will generate insights, run experiments, and translate model results into actionable recommendations for product and business teams, helping to increase revenue, reduce costs, and shape data science standards within a

Qualifications

• 5+ years applying ML and statistics to business problems.
• Advanced degree or equivalent experience in a related field.
• Exposure to production ML environments and workflows.
• Strong Python (pandas, scikit-learn) and SQL (Snowflake).
• Experience with cloud platforms (AWS) and API deployment.

Responsibilities

• Develop, validate, and tune statistical and ML models for business problems.
• Collaborate with engineers to ensure production-ready deployment.
• Design experiments and robust evaluation strategies.
• Build dashboards and share insights across teams.
• Monitor models for drift, accuracy, and reliability.
• Translate results into actionable business recommendations.
• Mentor colleagues on applied ML and production readiness.

Skills

ML & statistics

Python

SQL

Cloud AWS

APIs & deployment

R/Java/Go

Experiment design

Looker (data viz)

Production ML

Communication

Education

Master's or PhD in Statistics/CS/Data Science

Tools

Snowflake

PyTorch/TensorFlow

Looker

AWS

Job description

Prove seeks a Senior Data Scientist to advance production-ready models that drive measurable business outcomes across enterprise customers. You will partner with Senior Machine Learning Engineers to deploy, monitor, and continually improve algorithms in live systems.

You will generate insights, run experiments, and translate model results into actionable recommendations for product and business teams, helping to increase revenue, reduce costs, and shape data science standards within a