Weedmaps is looking to hire a Senior Data Scientist to shape the future of their people-facing and business-facing products by leveraging data to solve complex problems, uncover insights, and drive product development and business strategy.
Requirements
- Expert coding skills in Python and SQL, plus deep familiarity with Git and CI/CD practices
- Experience deploying and maintaining ML models in production environments
- 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.
Other
- Analytical mindset, and product intuition
- 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.
- Tell data-driven stories.
- Convince and influence your partners using clear insights and recommendations.
- Exceptional data visualization and storytelling skills
