Dir, Data Science & Analytics - AI Governance - Remote

Lensa; Seattle (WA); Remote; USD 129,000 - 304,000; Full time

Job summary

A leading career site seeks a Director of Data Science & Analytics with expertise in healthcare analytics. This remote role involves performing data analysis, presenting insights, and overseeing teams to improve health plan outcomes, leveraging advanced data science methodologies. The ideal candidate has a Bachelor’s Degree, strong data analysis skills, and over five years of relevant experience.

Qualifications

• 5+ years leading healthcare analytics, 7+ years preferred.
• Strong knowledge in data analysis tools and languages.
• Ability to mentor and guide teams.

Responsibilities

• Perform data and error analysis and validate data.
• Evaluate and present healthcare utilization and cost reports.
• Collaborate with cross-functional teams for revenue optimization.

Skills

Data Analysis

Statistical Analysis

Healthcare Analytics

Critical Thinking

Problem Solving

Education

Bachelor's Degree in Data Science

Bachelor's Degree in Economics

Bachelor's Degree in Finance

Bachelor's Degree in Computer Science

Bachelor's Degree in Information Systems/Technology

Tools

Hadoop

Power BI

R

Python

SQL

Apache Superset

Job description

Dir, Data Science & Analytics - AI Governance - Remote

1 day ago Be among the first 25 applicants

Lensa is the leading career site for job seekers at every stage of their career. Our client, Molina Healthcare, is seeking professionals. Apply via Lensa today!

Job Description

Job Summary

Perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy. Evaluate, write, and present healthcare utilization and cost containment reports and make recommendations based on relevant findings. Execute data science and statistical analytical experiments methodically to help solve various problems and make a true impact across healthcare domains.

Knowledge/Skills/Abilities

• Directs health plan strategic analysis and planning, coordinating across business units to meet data analysis needs.
• Mentors, coaches, and provides guidance to direct reports.
• Identifies and sets departmental priorities aligned with operating plans, budgets, and regulatory requirements. Performs deep dive analyses across health plans, provides actionable insights, and collaborates with health plans and cross-functional teams to optimize revenue outcomes.
• Observes Medicaid/Medicare/Marketplace growth opportunities and new policy rules; develops analytical frameworks to support business cases, and presents findings to business partners and management.
• Partners with health plans to design Payment Integrity campaigns, evaluate performance, develop insights, and recommend actions to optimize campaigns.
• Presents complex analytical information clearly to all levels of audiences. Collaborates with analytics teams to manage project delivery.
• Performs other duties as business needs evolve, exploring data solutions and technology-enabled opportunities, and refers to appropriate teams for building payment integrity solutions.
• Applies statistical and computational methodologies to provide insights and identify opportunities to improve quality, consumer experience, and healthcare costs.
• Develops scalable, efficient, and automated data analysis and model development processes.
• Devises algorithms and models to mine big data, perform error analysis, and validate data for accuracy.
• Develops novel approaches for data exploration, analysis, and feature selection from large, multidimensional datasets.
• Executes data science and statistical experiments methodically to address healthcare challenges.
• Analyzes data for trends and patterns, interpreting data with clear objectives.
• Uses various tools and techniques to extract insights from industry trends.
• Utilizes tools and languages such as Hadoop, Power BI, R, Python, SQL, Impala SQL, Toad Automation scripts, Apache Superset, and relevant Python packages.
• Implements Python packages for population predictions, provider activity outliers, etc.

Job Qualifications

Education: Bachelor's Degree in Data Science, Economics, Finance, Computer Science, Information Systems/Technology, or related field.

Experience: 5+ years leading healthcare analytics; 7+ years preferred in healthcare environment. Strong knowledge of Hadoop, Power BI, R, Python, SQL, Impala SQL, Toad Automation scripts, Apache Superset, and Python healthcare/data science packages. Familiarity with relational databases and SDLC. Demonstrates critical thinking and problem-solving skills.

Physical Demands

Work is generally performed in an office environment with adequate lighting and temperature. Must be able to sit for long periods. Reasonable accommodations may be made for individuals with disabilities.

Interested Molina employees should apply through the intranet. Molina offers competitive benefits. Equal Opportunity Employer (EOE) M/F/D/V.

Pay Range: $129,504 - $303,040 annually. Actual compensation varies based on location, experience, education, and skills.

Additional Information

• Seniority level: Director
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: IT Services and Consulting