Bright Cellars · Jan 5th 2021
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