Lead Data Scientist - Research and Development - job 2 of 2

Company :

Job Description : 

JOB SUMMARY

This job leads the research and development of innovative analytical solutions, pushing the boundaries of our advanced analytics capabilities. The role focuses on creating novel approaches and methodologies that can be applied across various business processes and operations.

The incumbent designs, executes, and synthesizes cutting-edge research projects to explore new analytical techniques and address fundamental business challenges. This includes developing proof-of-concept models, conducting experiments, and evaluating the performance of new algorithms.

The incumbent is a data-driven innovator who understands the Organization's strategic goals and proactively identifies opportunities to leverage data for competitive advantage. They will explore and synthesize diverse data sources to uncover hidden patterns, generate novel insights, and develop groundbreaking analytical solutions.

Leveraging advanced statistical methods, machine learning algorithms, and data visualization techniques, the incumbent will conduct in-depth research, build predictive models, and drive projects from initial concept to validated prototype. They will continuously scan and test emerging data sources, tools, and analytical techniques, and actively partner with leading institutions and experts to contribute to our portfolio of next-generation analytic research projects. This includes publishing research findings, presenting at conferences, and contributing to the broader data science community.

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 (Ph.D.) in Analytics, Mathematics, Physics, Computer and Information Science, Engineering Technology, or a related field.

EXPERIENCE

Required

• 5 years of Data Science

• 3 years Data Science (if PhD Education)

Preferred

• Strong track record of publishing research papers or presenting at industry conferences
• Experience with the full lifecycle of research projects, from ideation and experimentation to deployment and evaluation.
• Experience working with Graph Databases and Graph Neural Networks

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 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 any category protected by applicable federal, state, or local law.

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