Data Scientist: Predictive Modeling & Feature Store Expert

Talentify

Birmingham (AL)

On-site

USD 110,000 - 160,000

Full time

14 days+
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Job summary

Moultrie, headquartered in Birmingham, Alabama, is seeking a Data Scientist to join the Data and Analytics Team. You will own modeling, feature stores, and data preparation to surface actionable insights for BI products and downstream systems.

The role emphasizes hands-on predictive modeling (churn, propensity, health scores) and close collaboration with business stakeholders to deliver measurable business impact.

Qualifications

  • 4+ years of hands-on data science, with applied modeling.

Responsibilities

  • Design, build, and maintain predictive models addressing defined business questions using data from Snowflake.
  • Deliver model outputs as attributes for BI tools (Tableau, Streamlit) and activation platforms (BlueConic, Braze, TripleWhale).
  • Translate ambiguous business questions into scoped modeling problems with defined success metrics.
  • Communicate model outputs and implications clearly to non-technical audiences.
  • Track, document, and monitor experiments and deployed models for reliability and reproducibility.
  • Contribute to feature store and data engineering—define features, refresh cadences, and ensure pipelines are robust.
  • Build training datasets with clear documentation of assumptions and evaluation windows.
  • Collaborate with data engineers to enable feature engineering and model training.
  • Apply data engineering fundamentals to support modeling within the existing tech stack.

Skills

Predictive modeling
Python
Snowflake
SQL
Model deployment
Data storytelling
Documentation
Team collaboration

Tools

Snowflake
Snowpark
MLflow
Tableau
Streamlit
dbt
Git

Job description

Moultrie, headquartered in Birmingham, Alabama, is seeking a Data Scientist to join the Data and Analytics Team. You will own modeling, feature stores, and data preparation to surface actionable insights for BI products and downstream systems.

The role emphasizes hands-on predictive modeling (churn, propensity, health scores) and close collaboration with business stakeholders to deliver measurable business impact.

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