Data Scientist (AI/ML Modeling, Forecasting and Algorithms)

Job Summary

The Data Scientist (AI/ML Modeling & Algorithms) will develop and implement machine learning models to address operational and business needs.

About the Role

Support the development and implementation of machine learning models that address operational and business needs. Work on moderately complex modeling assignments, applying established data science techniques to deliver scalable AI/ML solutions in partnership with cross-functional teams.

Responsibilities

• Develop and implement machine learning models using established approaches (regression, classification, forecasting, optimization)
• Translate business and operational requirements into structured modeling problems with guidance from senior team members
• Perform feature engineering, model training, validation, and evaluation using defined best practices
• Contribute to improving existing models and pipelines
• Support the design and analysis of experiments (e.g., A/B tests, simulations)
• Monitor model performance and identify opportunities for improvement
• Apply standard processes to assess model quality, accuracy, and reliability
• Work with structured and semi-structured datasets to prepare data for modeling
• Write clean, maintainable Python and SQL code
• Partner with Data Engineering and ML Engineering to support model deployment
• Collaborate with technical and non-technical stakeholders
• Clearly communicate analytical findings
• Document assumptions, methodologies, and results
• Build strong working relationships within the immediate team and cross-functional partners

Requirements

• Bachelor’s or Master’s degree in a quantitative field (e.g., Data Science, Statistics, Computer Science, Engineering, Mathematics)
• 2+ years of experience in data science or machine learning
• Proficiency in Python and SQL
• Understanding of model evaluation metrics and validation approaches

Preferred Qualifications

• Exposure to deep learning frameworks (e.g., TensorFlow, PyTorch)
• Experience working in cloud environments (AWS, GCP, or Azure)
• Familiarity with experimentation methodologies (A/B testing)
• Experience collaborating with engineering teams on production deployments

Benefits

• Medical, dental, vision, legal, and accidental death and dismemberment insurance
• Short-term and long-term disability, life insurance
• 401(k) plan
• 4 weeks of vacation, paid sick leave, 10 paid holidays, a floating day off, half day Fridays year-round, and 2 paid days for volunteer time each calendar year

Pay

$106,600 - $133,200