Data Scientist

Talon Hiring Solutions; Atlanta (GA); Remote; USD 120,000 - 180,000; Full time

Job summary

Talon Hiring Solutions has a client in Atlanta, GA seeking a Data Scientist to join the Data and Analytics Team. You will own statistical modeling and feature engineering to surface actionable insights within BI products and downstream systems.

This role is fully remote in Atlanta with some travel to the home office in Birmingham, AL. Build predictive models, transform data into insights, and collaborate across teams to deliver impactful solutions.

Qualifications

• 4+ years of hands-on experience in Data Science, ML, Analytics, or related field.
• Proven experience building and deploying predictive models in a business environment.
• Strong Python skills with pandas and scikit-learn.

Responsibilities

• Build, deploy, and maintain predictive and prescriptive models.
• Transform data into actionable insights for decisions.
• Develop features and training datasets in Snowflake and dbt.
• Use Python and SQL for feature engineering and analysis.
• Validate model performance using relevant metrics.
• Deliver model outputs to BI tools and downstream platforms.
• Collaborate with data, engineering, and business stakeholders to define problems and success metrics.
• Translate ambiguous questions into modeling requirements.
• Document models, features, data lineage, experiments and results.
• Track experiments using MLflow or similar tools.
• Continuously improve data science and modeling capabilities.

Skills

Communication

Collaboration

Problem solving

Tools

Python

SQL

Snowflake

dbt

MLflow

Snowpark

Git

pandas

scikit-learn

Job description

Talon Hiring Solutions has a client that is looking for a Data Scientist in Atlanta, GA to join the Data and Analytics Team. This team owns the development of insights from extraction that power decision-making. The role will build the predictive and prescriptive modeling capabilities that sit on top of the foundational data layer to surface actionable insights and recommendations within BI products and downstream systems. You will own the statistical modeling and feature engineering that exists in the data. 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.

*This role is fully remote in Atlanta with some travel to the home office in Birmingham, AL*

What You’ll Do

• 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.

What You’ll Bring

• 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 ML flow.
• Experience working with feature stores.
• Experience delivering machine learning outputs to BI, marketing, customer engagement, or other downstream platforms.