Weedmaps is looking for a Senior Data Scientist who will shape the future of our people-facing and business-facing products. You will apply your technical skills, analytical mindset, and product intuition to our rich data sets to define experiences for millions of cannabis consumers, businesses, and brands.

What You'll Do

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 data presentation to develop strategies for our products.
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.

What We're Looking For

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 Have

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.

Technical Stack

Core: Python, SQL, Git, CI/CD
Data Tools: dbt, jinja, Spark, dask
Applications: Streamlit
Cloud/AI: AWS Sagemaker, AWS Bedrock

Team & Environment

You will collaborate with cross-functional partners across Product, Engineering, Marketing, Sales, Finance and others. You will also partner with the ML team.

Benefits & Compensation

Compensation range: $178,313.00 - $199,200.00 per year.
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.
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.

Work Mode

This is a remote position open to global candidates.

Weedmaps is an equal opportunity employer and makes employment decisions on the basis of merit. The Company prohibits unlawful discrimination against employees or applicants based on race (including traits historically associated with race, such as hair texture and protective hairstyles), religion and religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, military status, veteran status, uniformed service member status, sexual orientation, transgender identity, citizenship status, pregnancy, or any other consideration made unlawful by federal, state, or local laws.