Senior Data Scientist

Weedmaps • New York, NY

104d • $178,313 - $199,200

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

• Employee - employer paid premium 100% for Medical, Dental & Vision.
• Company contribution to a HSA when electing the High Deductible Health Plan.
• Free access to CALM app for employees and dependents.
• Employee Training and 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 501-1,000 employees