Job description

POSITION SUMMARY The Senior Data Scientist will focus on turning data into actionable insights that help support business decisions and measurable outcomes. This role will develop predictive solutions, evaluate AI and analytics outcomes, and partner with stakeholders to identify opportunities where data and advanced analytics can improve efficiency, performance, cost, and overall business value. ESSENTIAL FUNCTIONS • Design, develop, and evaluate production-grade statistical and machine learning models. • Develop predictive solutions supporting healthcare operations, member experience, provider engagement, and business performance. • Perform feature engineering and model validation. • Establish best practices for experimentation and model evaluation. • Employ and evangelize advanced statistical techniques where applicable. • Analyze large and complex datasets to identify trends, opportunities, and operational insights. • Translate business questions into analytical approaches and measurable outcomes. • Present findings and recommendations to technical and non-technical audiences. • Help business stakeholders make data-driven decisions. • Design and analyze experiments to evaluate process improvements, AI systems, and business interventions. • Define success metrics and measurement strategies for new AI and analytics initiatives. • Assess model performance and business impact over time. • Partner with stakeholders to define key performance indicators (KPIs). • Design executive and business-facing dashboards. • Drive metric standardization and reporting consistency. • Interpret trends and provide insight into changes in business performance. • Identify opportunities where analytics, machine learning, or AI can improve operational outcomes. • Support evaluation of emerging AI capabilities and business use cases. • Other duties as assigned. EDUCATION • Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or equivalent combination of education and work experience required. EXPERIENCE AND SKILLS • 5+ years of experience in data science, analytics, machine learning, AI, or applied statistics. • Expert knowledge of statistics. • Strong Python skills. • Advanced SQL knowledge. • Experience developing predictive models and analytical solutions. • Experience communicating insights to business stakeholders and executives. • Strong understanding of experimentation, model evaluation, and statistical analysis. • Experience working in healthcare, insurance, claims, or related regulated industries. • Experience with Power BI or similar BI platforms. • Experience with cloud-based analytics environments. • Familiarity with machine learning deployment workflows. • Familiarity with generative AI evaluation methodologies and LLM-based systems. • Experience with coding assistants, e.g., Claude Code, for feature-oriented development POSITION COMPETENCIES: • Accountability • Analytical Problem Solving • Collaboration • Quality and Risk Management • Systems Thinking • Technical/Functional Expertise PHYSICAL DEMANDS: • This is a standard desk role requiring extended sitting and computer work WORK ENVIRONMENT: • Remote Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly culture offers flexibility and the comfort of working from home, while also ensuring you are set up for success. To support a smooth and efficient remote work experience, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 100Mbps download/25Mbps upload. Reliable internet service is essential for staying connected and productive. The company has reviewed this job description to ensure that essential functions and basic duties have been included. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills, and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate. Compensation is not limited to base salary. Allied values our Total Rewards, and offers a competitive Benefit Package including, but not limited to, Medical, Dental, Vision, Life and Disability Insurance, Generous Paid Time Off, Tuition Reimbursement, EAP, and a Technology Stipend. Allied reserves the right to amend, change, alter, and revise, pay ranges and benefits offerings at any time. All applicants acknowledge that by applying to the position you understand that the specific pay range is contingent upon meeting the qualification and requirements of the role, and for the successful completion of the interview selection and process. It is at the Company's discretion to determine what pay is provided to a candidate within the range associated with the role.

Requirements

Must-haves

Design, develop, and evaluate production-grade statistical and machine learning models.
Develop predictive solutions supporting healthcare operations, member experience, provider engagement, and business performance.
Perform feature engineering and model validation.
Establish best practices for experimentation and model evaluation.
Employ and evangelize advanced statistical techniques where applicable.
Analyze large and complex datasets to identify trends, opportunities, and operational insights.
Translate business questions into analytical approaches and measurable outcomes.
Present findings and recommendations to technical and non-technical audiences.
Help business stakeholders make data-driven decisions.
Design and analyze experiments to evaluate process improvements, AI systems, and business interventions.
Define success metrics and measurement strategies for new AI and analytics initiatives.
Assess model performance and business impact over time.
Partner with stakeholders to define key performance indicators (KPIs).
Design executive and business-facing dashboards.
Drive metric standardization and reporting consistency.
Interpret trends and provide insight into changes in business performance.
Identify opportunities where analytics, machine learning, or AI can improve operational outcomes.
Support evaluation of emerging AI capabilities and business use cases.
Other duties as assigned.
Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or equivalent combination of education and work experience required.
5+ years of experience in data science, analytics, machine learning, AI, or applied statistics.
Expert knowledge of statistics.
Strong Python skills.
Advanced SQL knowledge.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningpythonsqlllm

Platform: paycom
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

Paid Time Off