Senior Data Scientist

Weedmaps

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profile Job Location:

Austin, TX - USA

profile Yearly Salary: $ 178313 - 210073
Posted on: 15 hours ago
Vacancies: 1 Vacancy

Job Summary

Senior Data Scientist (Hybrid in Austin Texas)

Overview:

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 products ecosystem.

You will develop hypotheses and employ a diverse toolkit of rigorous analytical approaches methodologies and frameworks to test them. You wont 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.

The impact youll make:

  • 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.

What youve accomplished:

  • Bachelors 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

Bonus points:

  • 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

The base pay range for this position is $178313.00 - $210073.00 per year

2026 US Benefits for Full Time Regular Employees:

  • 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

Why Work at Weedmaps

Life at Weedmaps means innovation and heart. Come join us if you care about the plant the people who love it and are ready to let your talent shine. We foster a bustling and collaborative culture that revolves around an environment that focuses on the benefits of weed and the community that supports it.

You too can have a hand in shaping the industrys future; ready to roll with us

See how weve grownour journey leadership team and whats next at Weedmaps:

Founded in 2008 weve grown from a small startup to a global leader in the cannabis industry. Our dedication to transparency education and community has set us apart and today we proudly serve cannabis to consumers and businesses in the U.S. and worldwide.

Freedom to choose. Freedom to access. Freedom to enjoy.

Notice to prospective Weedmaps job applicants:

Our team has been made aware of incidents involving LinkedIn Telegram and Facebook accounts impersonating Weedmaps recruiters. These individuals are attempting to use our company name to solicit payment from prospective candidates interested in applying for jobs at our company. Our team is actively working to combat these attempts but in the meantime please be mindful of the following:

  • Our recruiters will always communicate with candidates through an @ email address.
  • CORRECT:
  • INCORRECT:
  • Our recruiters will NEVER ask for or attempt to solicit payment from applicants in order to apply interview or work for Weedmaps.
  • If you are interested in a role at Weedmaps please apply through our established channels.

If you are unsure if a communication is legitimate please contact our recruitment team at and they will happily confirm for you. Thank you for your vigilance and we appreciate your interest in working with us!

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. The Company also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics or is associated with a person who has or is perceived as having any of those characteristics. Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify including your rights and responsibilities please visit are entitled to reasonable accommodations under the terms of the Americans with Disabilities Act and applicable state/local laws unless the accommodation presents undue hardship. Please email us at peopleoperations at if you would like to confidentially discuss a potential accommodation during the interview process.


Required Experience:

Senior IC

Senior Data Scientist (Hybrid in Austin Texas)Overview: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 r...
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Key Skills

  • Laboratory Experience
  • Mammalian Cell Culture
  • Biochemistry
  • Assays
  • Protein Purification
  • Research Experience
  • Next Generation Sequencing
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Flow Cytometry

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