Senior Data Scientist, AI Product Insights
Mixpanel · San Francisco, US (Hybrid)
Posted about 2 months ago · $174,600 - $213,400
or apply directly on Mixpanel's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 72 days Mixpanel's roles stay open a median of 66 days
- Reposted
- No
- Salary listed
- Yes 44% of Mixpanel's roles list one
- Ghost-job risk at Mixpanel
- high 84 stale, 1 reposted of 86 open
- Hiring momentum
- 113 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-22
Measured from postings appearing on and disappearing from Mixpanel's own greenhouse board since 2026-08-03. Full hiring picture for Mixpanel.
About this role
In this role as a Senior Data Scientist at Mixpanel, you will be responsible for integrating advanced data science techniques into product features like Signals, Forecasting, Simulation, and Cohort Detection. You will design causal inference methods, validate statistical models, and ensure that analytical outputs are reliable and actionable for users. Collaborating closely with engineers and cross-functional teams, you will influence the analytical direction of a new product category that aims to enhance user understanding of key metrics.
- benefits
- 3/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Mixpanel as an employer.
What you need
- MS or PhD in Statistics, Economics, Mathematics, or a related quantitative field, or equivalent industry experience
- 5+ years of experience applying statistical modeling to real-world product or business problems
- Hands-on causal inference experience with methods such as propensity score matching and regression discontinuity
- Experience with survival analysis or retention modeling
- Strong Python fluency across the analytical stack including statsmodels, scikit-learn, and pandas
- Experience with time-series forecasting methods
Nice to have
- Experience working with large-scale behavioral event data
- Familiarity with feature engineering from raw event streams
- Experience with structural equation modeling or causal DAGs
- Familiarity with how offline batch analyses are productionized
- Comfort working directly in a production codebase alongside engineers
What you get
- Comprehensive Medical, Vision, and Dental Care
- Mental Wellness Benefit
- Generous Vacation Policy & Additional Company Holidays
- Enhanced Parental Leave
- Volunteer Time Off
- Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break
Worth weighing
- Role involves significant collaboration with engineers, which may require strong communication skills and adaptability
- The position is described as high-impact and high-autonomy, which may not suit everyone
- No specific mention of remote work flexibility beyond hybrid model
- Salary range provided but may vary based on experience and qualifications
Summarised from Mixpanel's posting. Read the full original.
Listed by Mixpanel on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.
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