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About the Role
The Data Scientist will build predictive and prescriptive modeling capabilities to surface actionable insights and recommendations within BI products and downstream systems. This role owns the statistical modeling and feature engineering that exists in the data, supporting a customer-driven company that values innovation, collaboration, curiosity, and delivering results.
Responsibilities
- Build, deploy, and maintain predictive and prescriptive models that solve real-world business challenges such as customer churn, subscription health, and purchase propensity.
- Transform complex data into actionable insights that support business and customer decisions.
- Develop and maintain features and training datasets within Snowflake and dbt.
- Use Python and SQL to perform feature engineering, statistical analysis, and machine learning.
- Validate and monitor model performance using appropriate metrics such as precision, recall, and AUC.
- Deliver model outputs that can be integrated into BI tools and downstream platforms.
- Partner with Data & Analytics, Engineering, and business stakeholders to define problems, establish success metrics, and deliver impactful solutions.
- Translate ambiguous business questions into well-defined modeling and analytics requirements.
- Document models, features, assumptions, data lineage, experiments, and results to ensure solutions are reliable and reproducible.
- Track and manage experiments using MLflow or similar tools.
- Continuously improve data science, feature engineering, and predictive modeling capabilities.
Requirements
- 4+ years of hands-on experience in Data Science, Machine Learning, Analytics, or a related field.
- Proven experience building and deploying predictive models in a business environment.
- Strong Python skills, including experience with pandas, scikit-learn, and related data science libraries.
- Strong SQL skills and experience working with large or complex datasets.
- Experience with classification and regression modeling and model evaluation techniques.
- Experience working with Snowflake or a similar cloud data platform.
- Experience with Git, version control, code reviews, and standard software development practices.
- Experience with feature engineering and building datasets for machine learning models.
- Ability to turn ambiguous business problems into practical, data-driven solutions.
- Strong communication skills and the ability to explain technical findings to non-technical audiences.
- Strong documentation and organizational skills.
- A collaborative, curious, and results-oriented mindset.
- Experience in retail, CPG, consumer technology, or consumer hardware.
- Experience with Snowpark, Snowflake ML Functions, dbt, or MLflow.
- Experience working with feature stores.
- Experience delivering machine learning outputs to BI, marketing, customer engagement, or other downstream platforms.
Skills
- Python
- SQL
- pandas
- scikit-learn
- Snowflake
- dbt
- Git
- MLflow
- Snowpark
- Snowflake ML Functions
- feature stores
Location
- Greater Birmingham, AL
- Remote
Work Type
- Fully remote
- Some travel
Experience Level
- 4+ years
About the Company
- Customer-driven company that values innovation, collaboration, curiosity, and delivering results.
- The team works together to build products and experiences that make a meaningful difference for customers.