Company :

Job Description :

JOB SUMMARY

***CANDIDATE MUST BE US Citizen (due to contractual/access requirements)***

This role focuses on identifying, designing, and engineering analytical solutions that expand our organization's advanced analytics capabilities. You will partner with internal and external experts to contribute to a portfolio of next-generation analytic products. You will be confident working with large volumes of data from multiple sources, identifying insights to answer critical business questions. You will also use advanced machine learning algorithms to produce predictive models that drive our business partners' strategies. You will be responsible for the complete project lifecycle, from exploration to delivery, ensuring the intended outcome is achieved. The ideal candidate will have a proven track record of successfully applying machine learning techniques to solve complex business problems and drive new opportunities. You will also be able to clearly articulate findings through proposals to business partners in the healthcare domain, demonstrating your understanding of the pillars of data science needed to extract knowledge and insights.

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
• Deliver the analytical solution to a complex business problem
• Documenting objectives, assumptions and processes in line with our standards
• 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: Experience with a substantial number of advanced analytical techniques and proficiency in 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 colleagues and stakeholders, the analyses performed, and how the results link directly back to business objectives, and work with colleagues to deliver implementation which drives frontline workflow.
• Plan, prepare and deliver/coordinate all elements of the analysis at the direction of a manager 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).
• Research self- directed new analytical skills and approaches, building relationships internally and externally to transfer knowledge and maintain their position as subject matter experts, consult with fellow data scientists and analysts to guide analysis and deliver larger projects.
• Other duties as assigned or requested.

EDUCATION

Required

• Master's Degree in Analytics, Mathematics, Physics, Computer and Information Science, Engineering or closely related field OR Bachelor's degree in Analytics, Mathematics, Physics, Computer and Information Science, Engineering plus 3 years of experience in lieu of Master's degree

Preferred

• None

EXPERIENCE

Required

• 2 years Data Science
• 0 (if PhD Education)

Preferred

• Data Science experience preferred (4 years)
• Healthcare / Health Insurance experience preferred (2 years)
• Python/R AI/ML development (3 years)
• Vertex AI LLM APIs (PaLM, Gemini) (1 ) or other LLMs as a service (1 years)

LICENSES AND 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 Requirement
0% - 25%

PHYSICAL, MENTAL DEMANDS AND WORKING CONDITIONS

Position Type

Office-Based

Teaches / trains others regularly

Rarely

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

Ocassionally

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 forth in the code of business conduct and company policies.

As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company’s Handbook of Privacy Policies and Practices and Information Security Policy.

Furthermore, it is every employee’s responsibility to comply with the company’s Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements.

Pay Range Minimum:

Pay Range Maximum:

Base pay is determined by a variety of factors including a candidate’s qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets.

Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, age, religion, sex, national origin, sexual orientation/gender identity or any other category protected by applicable federal, state or local law. Highmark Health and its affiliates take affirmative action to employ and advance in employment individuals without regard to race, color, age, religion, sex, national origin, sexual orientation/gender identity, protected veteran status or disability.

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