Hiring: Data Scientist Company: Focus Location: Alpharetta, GA Job Posted Time: 2026-09-16 20:06:44 Target Skills & Keywords : CI/CD, Feature Store, Git, MLflow, Pandas, Python, SQL, Snowflake, dbt, scikit-learn About the job Experience: •4+ years of hands-on experience in data science or a role with significant applied modelling. Required Skills: •Design, build, and maintain predictive models that address defined business questions (customer churn, subscription health, purchase propensity) using data from the foundational layer in Snowflake. •Deliver model outputs as attributes that can integrate cleanly into downstream BI products (Tableau, Streamlit) and activation platforms (BlueConic, Braze, TripleWhale). •Interface directly with business stakeholders to translate ambiguous questions into scoped modeling problems with defined success metrics. •Communicate model outputs and their business implications clearly to non-technical audiences. •Track, document, and monitor experiments and deployed models to ensure outputs are reliable, understandable, and reproduceable. •Feature Store and Data Engineering •Contribute to the build and maintenance of features in the feature store: defining features, documenting refresh cadence, and ensuring feature pipelines are reliable and tested. •Build and maintain training datasets with clear documentation of assumptions, evaluation windows, and limitations. Qualifications: •Demonstrated experience building and deploying predictive models in a business context. •Strong Python proficiency: Proven experience using libraries (scikit-learn, pandas) to build and maintain predictive models. •SQL proficiency: Able to write clean, maintainable code for supporting models in Snowflake with support from data engineers. •Demonstrated capacity to take an ambiguous business problem and work backwards to produce models that support effective solutions by creating a list of requirements and working through sprints to deliver. •Strong documentation practices: able to produce and maintain model definitions, lineage documentation, and data dictionaries that enable other developers and business stakeholders. •Collaborative working style: comfortable operating at the boundary between data engineering, data science, and business teams. •Applied hands-on capability in a feature store platform. •Operational familiarity with Snowpark or Snowflake ML Functions. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!