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Md Analytics Jobs (NOW HIRING)

The VP/MD of Data Science will focus on building the foundational data science capabilities to ... Work with wide range of open-source tools to analyze and extract value from granular tradeline ...

The VP/MD of Data Science will focus on building the foundational data science capabilities to ... Work with wide range of open-source tools to analyze and extract value from granular tradeline ...

The EW MD Analyst will work with other members of the team to develop state-of-the-art mission data for advanced 5th generation fighter aircraft. The ideal candidate's responsibilities will include:

Clinical Analytics Specialist - MD Are you a licensed MD looking to help drive innovation within our global organization? About the role. We are looking for an MD to serve as our Clinical Analytics ...

Clinical Analytics Specialist - MD Are you a licensed MD looking to help drive innovation within our global organization? About the role. We are looking for an MD to serve as our Clinical Analytics ...

## .Clinical Analytics Specialist - MD page is loaded## Clinical Analytics Specialist - MDlocations: Texas: Home based-New York: Virginia: Home based-Pennsylvania: Home based-New Jerseytime type: Full ...

$125 - $150/hr

We are looking for an MD to serve as our Clinical Analytics Specialist to join the Data Discovery and Enrichment Team (DDE). The Clinical Analytics Specialist will provide support for clinical ...

WI · On-site

$125 - $150/hr

We are looking for an MD to serve as our Clinical Analytics Specialist to join the Data Discovery and Enrichment Team (DDE). The Clinical Analytics Specialist will provide support for clinical ...

Mission Data Analyst

Eglin, FL · On-site

$150 - $200/hr

The EW MD Analyst will work with other members of the team to develop state-of-the-art mission data for advanced 5th generation fighter aircraft. The ideal candidate's responsibilities will include:

Team Lead (Analytics)

Baltimore, MD · On-site

$150 - $200/hr

Remote - Baltimore, MD 21244Education Level: 4 Year DegreeSalary Range: $155,000.00 - $200,000.00 Salary/yearCompany Overview Index Analytics, LLC, is a rapidly growing, Baltimore-based small ...

MD S&R Business Analyst

Irvine, CA · On-site

$50 - $60/hr

MD S&R Business Analyst Location: Irvine, CA (23 Hubble, 92618) Travel: Up to 10% (domestic and international) We are seeking an experienced MD S&R Business Analyst to support multiple Client MedTech ...

As a mission-driven organization, UT MD Anderson relies on advanced analytics and reporting to strengthen philanthropic strategies and ensure resources are effectively aligned with institutional ...

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Md Analytics information

See salary details

$64.5K

$125.3K

$179K

How much do md analytics jobs pay per year?

As of Sep 7, 2026, the average yearly pay for md analytics in the United States is $125,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $149,000.00 per year, depending on experience, location, and employer.

What is the difference between Md Analytics vs Data Analyst?

AspectMd AnalyticsData Analyst
Required CredentialsMedical degree, certification in analytics or health informaticsBachelor's or master's in data science, statistics, or related field
Work EnvironmentHealthcare settings, hospitals, clinicsCorporate, consulting firms, or healthcare organizations
Industry UsagePrimarily in healthcare and medical researchAcross various industries including finance, marketing, healthcare

Md Analytics professionals focus on analyzing healthcare data within medical and clinical environments, often requiring medical credentials. Data Analysts work across multiple industries, including healthcare, and typically hold degrees in data science or related fields. While both roles involve data analysis, Md Analytics emphasizes medical knowledge and healthcare-specific data, whereas Data Analysts have broader industry applications.

Is healthcare analytics in demand?

Healthcare analytics is in high demand as organizations seek to improve patient outcomes, reduce costs, and comply with regulations. Professionals in this field, including those with skills in data analysis, statistical tools, and electronic health records, are increasingly sought after across healthcare providers, insurers, and technology companies.
More about Md Analytics jobs

What cities are hiring for Md Analytics jobs?

Cities with the most Md Analytics job openings:

What states have the most Md Analytics jobs?

States with the most job openings for Md Analytics jobs include:

Infographic showing various Md Analytics job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 94% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $125,326 per year, or $60.3 per hour.

VP/MD Analytics

OneMain Financial

Wilmington, DE • On-site

Full-time

Posted 21 days ago


OneMain Financial rating

7.5

Company rating: 7.5 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

116th of 154 rated financial services


Job description

The Role
We're seeking a data science leader and practitioner to dream, design, and build machine learning foundations to drive our exciting growth agenda. The VP/MD of Data Science will focus on building the foundational data science capabilities to enable the integration and growth of our emerging Auto Finance businesses. This role will partner closely with credit, operations, and business leaders of our legacy direct auto and recently acquired indirect auto programs. This leader will set the data science strategy, build a team, and create core data science use cases and capabilities to enable rapid growth.
Reporting to the Head of Data Science, this is a critical leadership position that requires key characteristics including the ability to partner and influence across stakeholders, apply strategic thinking, practical business problem solving, a forward leaning results focus, and team leadership and development. This is a rare and exciting opportunity to own the design and development of advanced machine learning capabilities spanning underwriting, marketing, operations, and risk, in a company which combines the best of FinTech and Banking.
This individual will be charged with both building the future while delivering impact in the present and must have both the skills and orientation to get "hands on" the keyboard, particularly in the early days. This leader must also have a strong model risk management orientation - skilled in using "black box" approaches, while remaining skeptical and continuously challenging the team.
Responsibilities
  • Collaborate, influence, and "bring along" business and technology leaders to maximize the impact of machine learning solutions in the auto finance businesses
  • Design and build the foundational data science practices and develop the decision making algorithms (using traditional regression models and machine learning algorithms) to enable rapid and sustained growth of auto finance lending
  • Research and develop new modeling techniques that will keep OneMain at the forefront of the industry
  • Research and develop with both traditional and non-traditional data sources (such as information from other industries, tax data, deposit data, demographic data, digital data) to find insights which can be used in models to keep at the forefront of the industry
  • Apply diverse statistical and machine learning techniques to analyze a variety of datasets to solve complex, unstructured business problems
  • Work with wide range of open-source tools to analyze and extract value from granular tradeline level granular data
  • Recruit, develop, and lead a high performing and high potential team of data scientists to conduct statistical analysis and develop profit-driven decision framework and risk strategies
  • Independently complete analyses, draw conclusions, and present results to all levels of leaders in order to influence business/strategy decision
  • Partner with technology leaders to build and evolve an advanced machine learning environment for auto finance
  • Effectively prioritize competing initiatives across direct reports; translate strategic priorities into individual/team initiatives and manage expectations
  • Collaborate with Model Risk, Legal, Compliance, Audit, and other risk management functions to ensure solutions are developed that meet expected standards and policies

Qualifications
  • Master's Degree in a quantitative discipline (Engineering, Statistics, Economics, Biostatistics, Physics, Computer Science, or related field); PhD preferred
  • 6+ years of progressively broader roles in model development and implementation experience; at least 4 of those years in consumer lending (credit card; unsecured loans; auto lending; or home equity); auto finance experience is a plus, but an enthusiasm and ability to rapidly learn a consumer lending asset class is more important
  • Expert experience designing, developing, and implementing machine learning solutions - must have experience developing and maintaining credit underwriting machine learning systems in a FCRA governed context
  • Applied experience in a variety of modeling techniques like bagging, boosting, NLP and so forth, as was feature engineering
  • Proven experience in communicating with stakeholders across all phases of machine learning modeling project, including validation, deployment, and ongoing monitoring
  • Proven experience in assessing, mentoring, and developing junior data science talent
  • Advanced experience in use of open-source machine learning libraries (Python or R) in a cloud-based environment
  • Experience in identifying and managing the risks of machine learning systems
  • Innovative and capable of developing creative solutions to complex, data-driven problems

OneMain Holdings, Inc. is an Equal Employment Opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship status, color, creed, culture, disability, ethnicity, gender, gender identity or expression, genetic information or history, marital status, military status, national origin, nationality, pregnancy, race, religion, sex, sexual orientation, socioeconomic status, transgender or on any other basis protected by law.

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