As a Senior Data Scientist at Shopmonkey, you will be a part of a globally distributed team working closely with your product and engineering counterparts. We are looking for a generalist who thrives across the full project lifecycle — from statistical modeling and data analysis to experimentation and predictive AI — all in service of real-world auto shop needs. Shopmonkey has the structured data and workflows to support serious data science work, and you'll have the rare opportunity to help build the analytical and ML foundation from the ground up, shaping how data-driven decision making scales alongside a maturing platform and defining what the future of automotive care looks like. For Bay area candidates, this role would be hybrid with 2-3 days/week in office at our Morgan Hill, CA location for collaboration.

What will do:

• 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.

We are looking for people who have:

• 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.

Have Some of These:

• Deep expertise in statistical inference and hypothesis testing.


• Strong working knowledge of the ML and data science library ecosystem; able to evaluate and select appropriate tools and models for a given problem


• 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 without heavy infrastructure ownership.


• Cloud infrastructure familiarity (e.g., GCP, AWS) and comfort working within existing data platforms.

Bonus Points:

• Prior experience working at a high-growth startup.


• Experience in vertical SaaS or the automotive industry (business or consumer).


• 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.

In the United States, the range is typically a salary of $165,000 to $200,000 + bonus + equity + benefits. The range provided is Shopmonkey’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.

Why Shopmonkey?

Shopmonkey has become an amazing environment where employees feel that they are valued as people, and not just worker bees. To ensure that our team thrives, we invest in the following perks (benefits below are mainly for U.S. based, full-time employees). Other benefits vary upon location outside of the United States, and employment status:

💪🏼 Health & Wellness

• 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

✈️ Time Off

• 11 paid holidays


• Flexible time off - take the time off you need!

🥰 Giving Back

• Matching donations for approved charitable organizations


• Group volunteer efforts

Check out our founder’s story, life page, or hear from real employees about what it’s like to work at Shopmonkey.

Join our team of hungry, humble, smart people who love what they do, and change the auto industry by helping every shop thrive.

About the Industry

The U.S. is the second largest passenger vehicle market with more than 260 million registered passenger vehicles, and the global car repair market is estimated to be worth more than $500B. Shopmonkey aims to change the status quo and enable auto shops to become more efficient and give their customers a more delightful experience.

About Shopmonkey

Shopmonkey is the leading auto-repair shop software company; it is a cloud-based solution that helps auto-repair shops consolidate tools, save time, and streamline their entire operation onto a simple, easy-to-use platform.

Headquartered in Silicon Valley and trusted by more than 3,500+ auto shops across the U.S. and Canada, Shopmonkey aims to change the status quo of the car repair market, estimated to be worth more than $500B.

In 2021 Shopmonkey raised a $75 million Series C, supported by top-tier Silicon Valley venture capital firms Bessemer Venture Partners, Index Ventures, Headline, I2BF, and ICONIQ Growth.

In 2022, Shopmonkey was named #4 on Forbes' annual ranking of America's Best Startup Employers list (and #1 in Business Products & Software Services). Shopmonkey was once again named as one of America's Best Startup Employers by Forbes in 2023, 2024, and 2026!

Shopmonkey is committed to building a diverse and inclusive team. We are looking for team members from all backgrounds that are committed to the Shopmonkey mission.

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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Shopmonkey is committed to the full inclusion of all qualified individuals. In keeping with our our commitment, Shopmonkey will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact our Talent Team at hiring@shopmonkey.io.

Please note: Shopmonkey will never request sensitive information such as your social security number, bank account information, or other non-publicly available information during the application and interview process. If an applicant is extended an offer of employment, such sensitive information will be requested at that time. Shopmonkey will never ask you to receive and ship packages or goods as part of the interview. Other practices to be on alert for:

• Contact initiated via unsolicited text message or cold call. Shopmonkey does not follow up with candidates through instant messaging applications.


• Our Talent Acquisition team only corresponds from email addresses with the domain ‘@Shopmonkey.io’. If a generic email ID ending with Gmail/Yahoo or other domain is used while receiving a job offer or interview call, there is a likelihood of a scammer.


• While some of our jobs can be found on third party job sites, all of our current job opportunities and descriptions are posted on Shopmonkey’s Careers page, or our official LinkedIn Company Page

The U.S. Federal Trade Commission has published helpful articles to help individuals learn more about protecting themselves from recruiting scams and financial fraud. If you believe you were a victim of such a scam, you may contact your local law enforcement agencies. Shopmonkey is not responsible for any claims, liability, losses, damages, or expenses resulting from scammers or impersonators.