Data Scientist, Machine Learning

We are seeking an experienced Data Scientist with a strong foundation in machine learning and a proven ability to translate research and experimentation into practical, production-ready solutions. This is an individual contributor role focused on building, deploying, and scaling ML models and intelligent automation solutions that directly support core business operations.
You will collaborate with cross-functional teams-including product, engineering, and senior stakeholders-on strategic initiatives that bring next-generation ML capabilities into production.

Key Responsibilities

Design and implement machine learning solutions that automate workflows, enhance decision-making, and improve customer and employee experiences
Apply ML techniques such as regression, classification, clustering, and ensemble methods (e.g., Random Forest, XGBoost) to structured and semi-structured data
Build robust, scalable, and production-ready ML models that deliver measurable business impact
Partner with data engineering and MLOps teams to ensure models are reliable, well-tested, and deployable at scale
Translate statistical and machine learning research into practical applications across areas such as risk assessment, operational automation, and customer servicing
Collaborate with product owners, engineers, and business stakeholders to define use cases, design solutions, and measure outcomes
Contribute to reusable frameworks, tools, and best practices for ML development and deployment
Follow model governance, documentation, testing, and validation standards

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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Required Skills & Experience

2+ years hands-on Machine Learning experience building, deploying, and scaling production ML models using techniques such as regression, classification, clustering, and ensemble methods
Strong Python skills with core ML/data libraries (scikit-learn, pandas, Num Py)
Solid foundation in statistics, probability, and ML fundamentals
Degree in a quantitative field (CS, Statistics, Engineering, Applied Math, or related)

Nice to Have Skills & Experience

PhD
Experience in insurance, financial services or related industries

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.