Hybrid Senior Data Scientist

at Shopmonkey

• Job title: Senior Data Scientist
• Job type: Full Time
• Experience level: Senior
• Salary: $165,000 - $200,000 per year
• Degree requirement: Postgraduate Degree
• Tech skills: Python, SQL
• Location requirements: Hybrid, Morgan Hill, United States

About the role

• Senior Data Scientist developing data models for real-world auto shop needs at Shopmonkey. Collaborating across teams to build analytical foundations and integrating solutions into production pipelines.

Responsibilities

• Design, build, and ship production-ready models across a range of problem spaces: regression, classification, clustering, ranking, and recommendation systems.
• Conduct end-to-end development of data science solutions: requirements gathering, data acquisition, exploratory analysis, feature engineering, model training, evaluation, deployment, and monitoring.
• Partner with stakeholders to translate ambiguous business problems into well-scoped data science projects with clear success criteria.
• Define and track model performance metrics, run A/B tests, and iterate based on real-world feedback.
• Perform deep exploratory data analysis to surface insights, identify data quality issues, and inform feature engineering and modeling decisions.
• Work closely with ML engineers and data engineers to ensure models are integrated reliably into production pipelines and can scale appropriately.
• Build and maintain analytical models and dashboards that surface actionable insights across core business areas, partnering with product and operations teams to ensure outputs drive real decisions.
• Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization.
• Translate complex analytical findings and model outputs into clear, actionable recommendations for cross-functional stakeholders.
• Contribute to backlog velocity by owning appropriate tickets and delivering high-impact work in a collaborative, fast-paced environment.

Requirements

• Minimum of 5+ years of industry experience in applied data science; advanced degrees (Master's or PhD) may offset years of experience.
• Proven experience taking models and analyses all the way to production (not just proof-of-concepts or notebooks).
• Strong foundations in classical DS/ML: exploratory data analysis, prediction, classification, clustering, feature engineering, model evaluation, experimentation, etc.
• Proficiency in Python; strong SQL skills for working with large-scale data.
• Strong collaboration and communication skills—comfortable working with PMs, engineers, and other cross-functional team members.
• A track record of working directly with business stakeholders to gather requirements, define metrics, and frame problems in data science terms.

Benefits

• Medical, dental, vision, and life insurance benefits available the 1st of the month following hire date
• Short term and long term disability
• Employee assistance program
• Reimbursement for a personal health and wellness membership
• Generous parental leave
• 401(k) available upon hire
• 11 paid holidays
• Flexible time off - take the time off you need!
• Matching donations for approved charitable organizations
• Group volunteer efforts