Senior Data Scientist
About The Position
As a Senior Data Scientist at Weedmaps, you will shape the future of people-facing and business-facing products we build across our entire family of applications. By applying your technical skills, analytical mindset, and product intuition to our rich and unique data sets, you will help define the experiences we build for millions of cannabis consumers, businesses, and brands. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Marketing, Sales, Finance and others. You will use data and models to identify and solve problems facing all facets of our business. You will uncover insights and recommendations that shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Weedmaps. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem. You will develop hypotheses and employ a diverse toolkit of rigorous analytical approaches, methodologies, and frameworks to test them. You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. In addition to uncovering novel insights and actionable recommendations in data, you will also partner with the ML team to build and deploy production models and applications to improve our products, processes, and experiences.
Requirements
- Bachelor's degree in Mathematics, Statistics, Computer Science, Computer Engineering or a relevant technical field, or equivalent practical experience
- A minimum of 6 years of work experience in data science and analytics
- Expert coding skills in Python and SQL, plus deep familiarity with Git and CI/CD practices
- Exceptional data visualization and storytelling skills
- Experience deploying and maintaining ML models in production environments
Nice To Haves
- Experience with dbt and/or jinja for building performant data models
- Experience building recommender systems or other personalization tooling at scale
- Familiarity with Spark, dask, or other big data manipulation tools
- Experience building and deploying Streamlit applications
- Experience working with event tracking data (Segment, Amplitude, etc.) and/or building user journey insights
- Familiarity with the AWS stack, including Sagemaker and Bedrock
Responsibilities
- Work with large, messy, and complex data sets to solve a wide array of challenging problems using different analytical, statistical, ML, and AI approaches.
- Collaborate with Data and Analytic Engineers to improve the quality and usability of our data and generate reusable assets in our feature store.
- Apply technical expertise with quantitative analysis, experimentation, causal inference, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
- Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
- Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product and business strategy.
- Build and deploy interactive applications to enable business partners to answer questions.
- Develop, deploy, and maintain AI/ML models in production with support from the ML team.
Benefits
- Physical Health (Medical, Dental & Vision)
- 100% employer-paid premium for employees
- Up to 80% coverage for dependents
- Company HSA contribution with the High Deductible Health Plan
- 401(k) Retirement Plan (employer will match contribution up to 3.5% of employee contribution)
- Basic Life, Voluntary Life and AD&D Insurance options
- Supplemental, voluntary benefits
- Student Loan Repayment/529 Education Savings with a monthly company contribution
- FSA (Medical, Dependent, Transit and Parking)
- Voluntary Life and AD&D Insurance
- Critical Illness Insurance
- Accident Insurance
- Short- and Long-term Disability Insurance
- Pet Insurance
- Identity theft protection
- Legal access to a network of attorneys
- PTO, paid sick leave, and company holidays (including a 2026 holiday shutdown)
- Paid parental leave
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
501-1,000 employees
