[Remote] Data Scientist

Note: The job is a remote job and is open to candidates in USA. Talon Hiring Solutions has a client seeking a Data Scientist to join its Data and Analytics Team, which develops insights that support decision-making. The role focuses on building, deploying, and maintaining predictive and prescriptive models, engineering features, and delivering actionable machine learning outputs to BI products and downstream systems.

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

Skills

• 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

Benefits

• Fully remote with some travel to the home office in Birmingham, AL

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