Senior Data Scientist

Take the opportunity to work with highly professional people with remarkable ideas on their minds!

Newfire Global Partners is a rapidly growing, privately-held, American company that provides advisory and technology services to some of the world’s most innovative companies. From 2022 to 2024, Inc. Magazine has recognized Newfire as one of the fastest-growing companies in America. Headquartered in Boston with operations spanning four continents (including teams in Argentina, Brazil, Canada, Costa Rica, Columbia, Croatia, Malaysia, Mexico, Ukraine, United States, and others), our global staff of nearly 1,000 professionals represents top talent worldwide in the areas of software development, product management, data science & data engineering, and CEO & board advisory services.

Our core values are demonstrated by a commitment to continuous improvement, open communication & trust, and respect for the individual.

You Perfectly Match If you have:

• A bachelor's or Master's degree in a quantitative field, such as Data Science, Economics, Statistics, Engineering, or a related discipline.
• 5-10 years of hands-on experience in a data science role, with a demonstrated track record of success in applying statistical modeling and machine learning techniques to real-world problems.
• Strong understanding of the US healthcare landscape, including familiarity with common terminology, data sources, and regulatory requirements.
• Proven experience developing, deploying, and evaluating risk adjustment models in a production environment, ideally within the healthcare sector.
• Demonstrated proficiency in building and refining GLM models, including the ability to identify and address statistical anomalies and edge cases.
• Proficient in model training and maintenance, including model drift
• Ability to effectively translate complex customer and business needs into actionable evaluation frameworks that guide model development and validation.
• Proficiency in Python and the scikit-learn library, with the ability to write clean, efficient code and leverage advanced statistical techniques.
• Excellent written and verbal communication skills, with the ability to tailor complex technical concepts to diverse audiences, including non-technical stakeholders.

Nice to have:

• Experience scaling models and analysis across large datasets
• Proficient in Spark/PySpark

Your day-to-day activities:

• Lead the technical development and maintenance of data-driven solutions that continuously improve the accuracy and efficiency of population and payer health analytics.
• Contribute expertise to the design and implementation of software that seamlessly integrates healthcare episodes of care risk adjustment methodologies into the value platform.
• Leverage state-of-the-art tools and technologies to analyze complex datasets, build predictive models, and generate actionable insights.
• Partner with analysts, software engineers, and product managers to translate business needs into effective data solutions and ensure seamless integration across the platform.