Senior Data Scientist (Remote) at Weedmaps

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Full Time

Start Date

Immediate

Expiry Date

02 Mar, 26

Salary

199200.0

Posted On

02 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Analytics, Python, SQL, Machine Learning, Data Visualization, Statistical Analysis, Causal Inference, Data Storytelling, AI, Collaboration, Feature Store, Model Deployment, Big Data Tools, Event Tracking, AWS

Industry

Software Development

Description

Senior Data Scientist (Remote) 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 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. The impact you'll 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 you've accomplished: 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 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 $178,313.00 - $199,200.00 per year 2025 Benefits for Full Time, Regular Employees: Physical Health benefits: Medical, Dental & Vision: Employee - employer paid premium 100% Company contribution to a HSA when electing the High Deductible Health Plan For plans that offer coverage to your dependents, you pay a small contribution Mental Health benefits: Employee Training Mental Health seminars and Q&A sessions Basic Life & AD&D - employer paid 1x salary up to $250,000 401(k) Retirement Plan (with employer match contribution) Generous PTO, Paid Sick Leave, and Company Holidays Supplemental, voluntary benefits Student Loan Repayment/529 Education Savings - including a 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 Family planning/fertility Identity theft protection Legal access to a network of attorneys Paid parental leave Why Work at Weedmaps? You get to work at the leading technology company in the cannabis industry You get to play a meaningful role in helping to advance cannabis causes, including helping improve the lives of patients who rely on the benefits of cannabis You get an opportunity to shape the future of the cannabis industry You get to work on challenging issues in a collaborative environment that encourages you to do your best You get to work in a casual and fun environment; no fancy clothes required, but you are free to dress to the nines! Numerous opportunities and tools to learn and grow your professional skills Endless opportunities to network and connect with other Weedmappers through speaker series, Employee Resource Groups, happy hours, team celebrations, game nights, and much more! 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 www.dhs.gov/E-Verify. Applicants 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 weedmaps.com if you would like to confidentially discuss a potential accommodation during the interview process. About Weedmaps: WM Technology, Inc.’s (Nasdaq: MAPS) mission is to power a transparent and inclusive global cannabis economy. Now in its second decade, WM Technology has been a driving force behind much of the legislative change we’ve seen in the past 10 years. Founded in 2008, WM Technology, is a leading technology and software infrastructure provider to the cannabis industry, comprising a B2C platform, Weedmaps, and B2B software, WM Business. The cloud-based SaaS solutions from WM Business provide an end-to-end operating system for cannabis retailers. WM Business’ tools support compliance with the complex, disparate, and constantly evolving regulations applicable to the cannabis industry. Through its website and mobile apps, WM Technology provides consumers with the latest information about cannabis retailers, brands, and products, facilitating product discovery and driving engagement with our retail and brand customers. WM Technology holds a strong belief in the power of cannabis and the importance of enabling safe, legal access to consumers worldwide. Since inception, WM Technology has worked tirelessly, not only to become the most comprehensive platform for consumers, but to build the software solutions that power businesses compliantly in the space, to advocate for legalization, social equity, and licensing in many jurisdictions, and to facilitate further learning through partnering with subject matter experts on providing detailed, accurate information about the plant. Headquartered in Irvine, California, WM Technology supports remote work for all eligible employees. Visit us at www.weedmaps.com. 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 @weedmaps.com email address. CORRECT: jlebowski@weedmaps.com INCORRECT: jlebowski@gmail.com 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. Weedmaps Careers Page or LinkedIn If you are unsure if a communication is legitimate, please contact our recruitment team at talentops@weedmaps.com and they will happily confirm for you. Thank you for your vigilance and we appreciate your interest in working with us!

Responsibilities

As a Senior Data Scientist, you will analyze complex data sets to solve business problems and collaborate with cross-functional teams to shape product development. You will also partner with the ML team to build and deploy models that enhance products and processes.