Shopmonkey is hiring a Senior Data Scientist to join a globally distributed team. You will work closely with product and engineering counterparts as a generalist across the full project lifecycle. Your work will help build the analytical and machine learning foundation from the ground up, spanning statistical modeling, data analysis, experimentation, and predictive AI.
What You'll Do
- Design, build, and ship production-ready models across problem spaces like 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.
- 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.
What We're Looking For
- 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.
- Strong foundations in classical DS/ML: exploratory data analysis, prediction, classification, clustering, feature engineering, model evaluation, and experimentation.
- 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.
Nice to Have
- Deep expertise in statistical inference and hypothesis testing.
- Strong working knowledge of the ML and data science library ecosystem.
- Experience with data visualization tools and communicating results clearly to both technical and non-technical audiences.
- Familiarity with LLMs and NLP frameworks (e.g., Hugging Face, LangChain) and an interest in applying them to real-world problems.
- Working knowledge of MLOps principles—enough to deploy, version, and monitor models in a modern cloud environment.
- Cloud infrastructure familiarity (e.g., GCP, AWS) and comfort working within existing data platforms.
- Prior experience working at a high-growth startup.
- Experience in vertical SaaS or the automotive industry.
- Background in causal inference, experimentation design, or econometric modeling.
- Familiarity with feature stores or shared feature pipelines across multiple models.
- Experience with real-time or streaming data for live model scoring.
Technical Stack
- Python, SQL, GCP, AWS, Hugging Face, LangChain
Team & Environment
You'll be part of a globally distributed team, working closely with product and engineering counterparts.
Benefits & Compensation
- Compensation range: $165,000 to $200,000 + equity via company stock options.
- 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.
- Matching donations for approved charitable organizations.
- Group volunteer efforts.
Work Mode
This role is hybrid and based in Morgan Hill, CA.
Shopmonkey provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
