Data Scientist Team Lead

Posted 3 Days Ago
Be an Early Applicant
Home, PA
3-5 Years Experience
Hospitality
The Role
Lead and supervise a team of Data Scientists within a multi-functional team to solve clinically relevant problems related to optimizing patient access, care, and outcomes. Develop and guide analytic strategies, apply knowledge of statistics and machine learning, and use programming languages like Python, R, and SQL.
Summary Generated by Built In

Location:

Work from home (Pennsylvania)

Shift:

Days (United States of America)

Scheduled Weekly Hours:

40

Worker Type:

Regular

Exemption Status:

Yes

Job Summary:

The Data Scientist Team Lead’s primary role will be to lead and supervise a team of Data Scientists within a multi-functional team of clinicians, data analysts, operational leaders and scientists to solve clinically relevant problems related to optimizing patient access, flow, care and outcomes. Responsible for leveraging their expert knowledge of statistics, deep learning and programming to mentor and develop a team of Data Scientists. The position is a senior level, strategic business partner who maintains leadership level relationships. They will strive to understand the strategic and operational needs of his or her assigned business areas, provide direction and guidance to business partners functioning as a trusted advisor, and facilitate the prioritization of requests.

Job Duties:

  • Captures the strategic and operational enterprise goals that provide traceability through the organization and are mapped to metrics that provide ongoing governance.
  • Establishes and maintains relationships with business and analytic functional areas.
  • Collaborates regularly with management team and subject matter experts (SMEs) to review business requests, priorities, and requirements.
  • Manages the feedback loop to the business for existing requests and on-going projects to create visibility; Assists in prioritization of new requests based on strategic plans, level of effort, and resource constraints.
  • Assists business partners as needed in navigating the demand management process, submitting requests, and utilizing analytic tools and resources.
  • Develops and helps guide analytic, experimentation, and modeling strategies for projects involving data science and advanced analytics. Maintains end-to-end ownership of data science products.
  • Utilize creative and innovative thinking with a focus on novel approaches to solve computational and analytic challenges related to health outcomes.
  • Applies knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to clinically relevant problems to improve health outcomes and healthcare operations.
  • Collaboratively leads a cross-functional team of physicians, mathematicians, data analysts, and programmers working to apply complex analytic methods to clinically relevant problems related to optimizing patient care.
  • Uses software such as Python, R, SQL, Hadoop and others to code deep learning / computational intelligence applications.
  • Lead model validation and verification efforts for other junior data scientists.
  • Contributes significantly to the design and implementation of data pipelines and governance for the machine learning program.
  • Draft and review manuscripts and grants for technical accuracy.
  • Actively participate and lead collaboration with external industry partners.
  • Act as subject matter expert resource and coach and mentor for data scientists across the enterprise.

Work is typically performed in an office environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job.

Position Details:

Education:

Doctoral Degree- (Required)

Experience:

Minimum of 3 years-Related work experience (Required)

Certification(s) and License(s):

Skills:

Critical Thinking, Group Problem Solving, Leads Others, Object-Oriented Programming (OOP), Software Development

OUR PURPOSE & VALUES: Everything we do is about caring for our patients, our members, our students, our Geisinger family and our communities.

  • KINDNESS: We strive to treat everyone as we would hope to be treated ourselves.
  • EXCELLENCE: We treasure colleagues who humbly strive for excellence.
  • LEARNING: We share our knowledge with the best and brightest to better prepare the caregivers for tomorrow.
  • INNOVATION: We constantly seek new and better ways to care for our patients, our members, our community, and the nation.
  • SAFETY: We provide a safe environment for our patients and members and the Geisinger family. 

We offer healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners. Perhaps just as important, we encourage an atmosphere of collaboration, cooperation and collegiality.

We know that a diverse workforce with unique experiences and backgrounds makes our team stronger. Our patients, members and community come from a wide variety of backgrounds, and it takes a diverse workforce to make better health easier for all. We are proud to be an affirmative action, equal opportunity employer and all qualified applicants will receive consideration for employment regardless to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or status as a protected veteran.

Top Skills

Python
R
SQL
The Company
HQ: Danville, Pa
14,203 Employees
On-site Workplace
Year Founded: 1915

What We Do

Geisinger is comprised of 13 hospital campuses, two research centers, a college of medicine and a nearly 600,000-member health plan serving more than three million residents in central, south-central and northeast Pennsylvania and beyond. We have approximately 26,500 employees, including over 1,700 employed physicians, all of whom share a commitment to quality healthcare.

For more information, visit geisinger.org/careers or connect with us on Facebook, Instagram, LinkedIn and Twitter.

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