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Overnight Data Science Law Jobs (NOW HIRING)

Tombras

Associate Director, Data Science

Knoxville, TN · On-site

$56K - $56K/yr

This role is foundational to leading our Data Science Team, which partners with our Analytics ... Job may require traveling overnight, driving long distances as required and sitting for extended ...

Rock Connections

Manager, Data Science

Detroit, MI · On-site

As the Manager, Data Science, you'll lead a team of data scientists as they apply data science to ... federal law. The company provides reasonable accommodations to qualified individuals with ...

Meta

Data Science Director (IC)

Menlo Park, CA

$253K/yr

We are seeking a Data Science Director IC who is passionate about developing, measuring, and ... Meta participates in the E-Verify program in certain locations, as required by law. Please note ...

Meta

Data Science Director (IC)

New York, NY

$253K/yr

We are seeking a Data Science Director IC who is passionate about developing, measuring, and ... Meta participates in the E-Verify program in certain locations, as required by law. Please note ...

Meta

Data Science Director (IC)

Sunnyvale, CA

$253K/yr

We are seeking a Data Science Director IC who is passionate about developing, measuring, and ... Meta participates in the E-Verify program in certain locations, as required by law. Please note ...

Prescient Edge

Data Science Lead

Doral, FL · On-site

Job Title Data Science Lead Location Doral, FL 33122 US (Primary) Category Intelligence Job Type ... by law. We strive to foster equity and inclusion throughout our organization because we believe ...

Mayo Clinic

Data Science Analyst

Rochester, MN

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the ...

Meta

Data Science Director (IC)

Bellevue, WA

$253K/yr

We are seeking a Data Science Director IC who is passionate about developing, measuring, and ... Meta participates in the E-Verify program in certain locations, as required by law. Please note ...

Mayo Clinic

Data Science Analyst

Rochester, MN · On-site

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the ...

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Data Science Fellow

Vizient, Inc.

Chicago, IL • On-site

$51K - $87K/yr

Other

Posted 2 days ago

New

Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Summary

In this role, you will be paired with a Vizient executive as a mentor for the duration of this one-year program. You will be responsible for data science projects across the healthcare domains of clinical & operations, supply chain, pharmacy, and healthcare strategy.You will work with executive mentor(s) and data scientists to match projects to your interests and goals, with an aim to improve operations, enhance products, or generate new insights.

Applications submitted without a personal statement will not be considered.

Responsibilities

  • Work with internal data science teams on assigned projects.

  • Develop data science approaches, including machine learning models, improve understanding and predict health care outcomes, conduct data management and other assigned tasks.

  • Collaborate with internal Vizient staff and leaders, and external stakeholders including Vizient clients, vendors, and other third parties.

  • Conduct self-directed research into healthcare data topics.

  • Participate in client-facing meetings and 'voice-of-customer's work to gain understanding of Vizient business needs.

  • Participation in cross-functional project assignments and present a capstone project or summary of projects to peers and mentors at the end of the Fellowship.

Qualifications

  • Relevant degree preferred: Master's degree in data science, statistics, medical/health informatics, or related field desired.

  • No previous work experience is required.

  • Demonstrated technical skills, including strong proficiency with programming languages such as Python, R, or SAS, and strong proficiency with database design involving SQL, are required.

  • Demonstrated good proficiency in quantitative skills necessary for data analysis and machine learning model development (e.g., statistical/Bayesian inference, mathematics, computer science, etc.) are required.

  • Strong familiarity and practical experience with Generative AI models (Large Language Models, Agentic Workflows, and other frameworks) is preferred.

  • Solid understanding of machine learning operations is preferred.

  • Experience working with health care data (EHR/EMR data, medical terminologies, etc.) is strongly preferred.

  • Strong communication and project management skills are preferred.

Application Requirements

  • Resume/CV

  • A one-page personal statement (explaining why you are interested in Vizient and this fellowship)

  • Required Later: Project Portfolio

    Estimated Hiring Range:

    At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $51,900.00 to $87,900.00.

    This position is also incentive eligible.

    Vizient has a comprehensive benefits plan! Please view our benefits here:

    http://www.vizientinc.com/about-us/careers

    Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

    The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

    Apply