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About the Role
The Data and Analytics Team seeks a Data Scientist to develop predictive and prescriptive modeling capabilities. This role will extract insights from data to power decision-making, surface actionable recommendations within BI products, and own statistical modeling and feature engineering.
Responsibilities
- Build, deploy, and maintain predictive and prescriptive models for business challenges like customer churn, subscription health, and purchase propensity.
- Transform complex data into actionable insights supporting business and customer decisions.
- Develop and maintain features and training datasets within Snowflake and dbt.
- Use Python and SQL for feature engineering, statistical analysis, and machine learning.
- Validate and monitor model performance using metrics such as precision, recall, and AUC.
- Deliver model outputs for integration into BI tools and downstream platforms.
- Partner with Data & Analytics, Engineering, and business stakeholders to define problems, establish success metrics, and deliver solutions.
- Translate ambiguous business questions into well-defined modeling and analytics requirements.
- Document models, features, assumptions, data lineage, experiments, and results for reliability and reproducibility.
- 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
- pandas
- scikit-learn
- SQL
- Snowflake
- Git
- dbt
- MLflow
- Feature Engineering
- Statistical Analysis
- Machine Learning
- Classification Modeling
- Regression Modeling
- Model Evaluation
- Version Control
- Code Reviews
- Snowpark
- Snowflake ML Functions
- Feature Stores
Location
- Remote
- Birmingham, AL
Work Type
- Fully Remote
- Travel required
Experience Level
- 4+ years of hands-on experience
About the Company
- Our client is a 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.