What You’ll Do:
- Grow Data Science as a function and as a core business driver within Bright Cellars
- Establish best practices for data and statistical modeling
- Drive future state of Data Science infrastructure, tooling, and processes
- Perform exploratory analyses and build frameworks to deliver business insights
- Identify business problems and assist in creating data-enabled solutions
- Define, experiment, and build predictive models that span multiple functions within the business
- Coordinate with different function teams to implement models and monitor model performance/outcomes
- Partner with engineering and contribute to our data pipelines with in-depth knowledge of modern data modeling
Experience We’re Looking For:
- 4+ years experience in a quantitative field such as Computer Science, Statistics or a related field.
- Advanced Python and SQL skills
- Experience in designing, training and deploying predictive models in production environments
- The ability to quickly iterate on analyses and machine learning models
- Strong cross-functional communication skills that help simplify and move complex problems forward with business partners
- Working knowledge of AWS cloud service, such as EC2, S3, Redshift, and other data science tools
- Experience building data pipelines with modern ELT tools, such as Stitch Data and dbt
Who You Are:
- You’re Analytical - You have strong experience with various data tools, and have an understanding of how data impacts and drives business solutions
- You’re a Team Player - You love to collaborate closely with the team to brainstorm ideas
- You’re Curious - You are naturally curious and have an interest in learning new things
Data source
Stack Overflow