Lead Data Scientist

highmarkhealth; Pennsylvania; Hybrid; USD 120,000 - 160,000; Full time

Job summary

Highmark Health is seeking an experienced Data Scientist to build analytical solutions for business processes. You will design, execute, and synthesize analytics to answer critical questions, using statistics, machine learning, and deep learning techniques.

Collaboration with business partners will translate insights into actionable outcomes. The role requires 5 years of Data Science experience (3 years if PhD) and a strong foundation in SQL, Python, R, and data visualization.

Qualifications

• Master's degree or BA + 3 years of relevant work experience in lieu of a Master’s degree.
• PhD preferred in Analytics, Mathematics, Physics, Computer and Information Science, Engineering Technology or related field.
• 5 years of Data Science experience required; 3 years if PhD.

Responsibilities

• Work directly with the business to understand processes and aims, then identify how analytical solutions could deliver value.
• Identify data elements needed and where to get them (including proxies).
• Assemble data sets using Highmark operational and analytic data structures.
• Deliver analytical solutions to multiple complex business problems concurrently.
• Explain methods and results through written reports, visuals, and presentations to drive decisions.
• Plan and deliver analyses largely independently, aiming for production-ready results.

Skills

Data analysis

SQL

BigQuery

Python

R

Analytical reasoning

Presentation skills

Education

Master's degree in Analytics, Mathematics, Physics, Computer and Information Science, Engineering Technology or related field

Bachelor's Degree + 3 years of relevant work experience in lieu of a Master's Degree

Doctoral degree in Analytics, Mathematics, Physics, Computer and Information Science, Engineering Technology or related field

Tools

Python

R

Job description

Company : Highmark Health Job Description :

JOB SUMMARY

This job builds new analytical solutions which inform business processes and operations at the heart of our advanced analytics capability. The incumbent designs, executes and synthesizes point analytics to support specific business questions, programs or initiatives. The incumbent is a data-driven problem solver who understands and utilizes the Organization's business partner's strategies, goals and processes to answer critical business questions by leveraging and synthesizing the large volume and variety of data available to them. Draws on tools and methods from statistics , machine learning and deep learning to perform analysis, create predictive models, visualize data, and drive projects through to delivery of the intended outcome. Continuously scans and tests new data sources, tools, and analytical techniques and partners with leading institutions and experts to contribute to our portfolio of next-generation analytic projects.

ESSENTIAL RESPONSIBILITIES

Work directly with the business to understand their business processes and aims, then identify how analytical solutions could help deliver value for them. This would include being accountable for: Outlining complex new use cases + creating high level impact estimates.

Identifying data elements needed and where to get them (including proxies).

Assembling data sets independently using knowledge of Highmark operational and analytic data structures.

Delivering the analytical solution to several complex business problems simultaneously.

Documenting objectives, assumptions and processes and enriching/expanding our standards as needed

Select and apply the appropriate advanced modeling/machine learning techniques to these data sets to deliver business insight, ensuring that the final analysis is well researched, accurate, and documented. This requires: Proficiency of a substantial number of advanced analytical techniques and mastery of a few, evidenced by in-depth knowledge and delivery record (for example regression models, tree-based learning, neural networks, clustering techniques, natural language processing)

Consult with the business to contextualize and translate the results of our analysis in a form which the business can understand and act upon. This will include: Written reports, presentation and data visualizations, and draws clear lines between the high-level problem specifications for a broad range of audiences, the analyses performed, and how the results link directly back to business objectives, and lead implementation which drives frontline workflow.

Plan, prepare and deliver/coordinate all elements of several analyses largely independently in such a way that it is delivered on time, to a high standard and ready to implement on a production basis (including dissemination through the Organization's user systems). This includes identifying the best route to implementation (developing the analytical solution accordingly).

Expertise and in-depth understanding of subject, be the face of major projects within ED&A, external presence/earned credibility (conferences, white papers, local/national associations); mentoring/teaching others

Other duties as assigned or requested.

EDUCATION

Required Master's degree in Analytics, Mathematics, Physics, Computer and Information Science, Engineering Technology or related field OR Bachelor's Degree + 3 years of relevant work experience in lieu of a Master's Degree

Preferred Doctoral degree in Analytics, Mathematics, Physics, Computer and Information Science, Engineering Technology or related field

EXPERIENCE

Required 5 years of Data Science

3 years Data Science (if PhD Education)

Preferred Deep learning modeling using medical imaging

LICENSES OR CERTIFICATIONS

Required None

Preferred None

SKILLS

• Analysis of business problems/needs
• Analytical and Logical Reasoning/Thinking
• Collaborative Problem Solving
• Data Analysis with SQL, BigQuery
• Statistical Analysis with Python, R
• Written & Oral Presentation Skills
• Basic proto-typing/front end skills

Language (other than English)

None

Travel Required

0% - 25&

PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS

• Position Type Office-Based
• Teaches / trains others regularly Occasionally
• Travel regularly from the office to various work sites or from site-to-site Never
• Works primarily out-of-the office selling products/services (sales employees) Never
• Physical work site required No
• Lifting: up to 10 pounds Frequently
• Lifting: 10 to 25 pounds Occasionally
• Lifting: 25 to 50 pounds Rarely

Disclaimer: The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job.

Compliance Requirement: This position adheres to the ethical and legal standards and behavioral expectations as set f