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Optum Data Science Jobs in New York (NOW HIRING)

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Optum Data Science information

See New York salary details

$26.2K

$122.4K

$224.7K

How much do optum data science jobs pay per year?

As of Sep 8, 2026, the average yearly pay for optum data science in New York is $122,425.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,396.00 and $171,643.00 per year, depending on experience, location, and employer.

What is an Optum Data Science?

An Optum Data Science job involves using data analytics, machine learning, and statistical methods to derive insights that improve healthcare outcomes and operational efficiency. Data scientists at Optum work with large datasets to identify trends, develop predictive models, and support decision-making for healthcare providers, payers, and patients. They collaborate with cross-functional teams to drive innovation in areas such as patient care optimization, fraud detection, and cost reduction. Strong programming skills, domain knowledge in healthcare, and expertise in data modeling are typically required for this role.

What types of projects do data scientists at Optum typically work on?

Data scientists at Optum commonly work on projects that involve analyzing large healthcare datasets to identify trends, improve patient outcomes, and optimize operational efficiency. This may include developing predictive models for disease risk, healthcare cost forecasting, or creating data-driven solutions to enhance clinical workflows. Team members frequently collaborate with clinicians, business analysts, and IT specialists, ensuring their work has a real-world impact on healthcare delivery. These projects often require innovative problem-solving and the ability to communicate insights to cross-functional teams, making the work both challenging and rewarding.

What are the key skills and qualifications needed to thrive in the Optum Data Science position, and why are they important?

To thrive as an Optum Data Science professional, a strong background in statistics, machine learning, data analysis, and a degree in a quantitative field such as computer science or mathematics are essential. Experience with programming languages like Python or R, data visualization tools, and familiarity with big data platforms (e.g., Hadoop or Spark) are commonly required, along with relevant certifications. Analytical thinking, strong communication, and the ability to collaborate effectively with both technical and non-technical stakeholders are critical soft skills. These skills enable data scientists at Optum to extract meaningful insights from complex healthcare datasets and drive impactful business decisions.

What are the most commonly searched types of Optum Data Science jobs in New York?

The most popular types of Optum Data Science jobs in New York are:

What are popular job titles related to Optum Data Science jobs in New York?

For Optum Data Science jobs in New York, the most frequently searched job titles are:

What job categories do people searching Optum Data Science jobs in New York look for?

The top searched job categories for Optum Data Science jobs in New York are:

What cities in New York are hiring for Optum Data Science jobs?

Cities in New York with the most Optum Data Science job openings:

Optum Data Science jobs near you
Infographic showing various Optum Data Science job openings in New York as of August 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 82% In-person, 8% Hybrid, and 10% Remote job distribution, with an average salary of $122,425 per year, or $58.9 per hour.

Sr. Manager/Associate Director- Tech Consulting (Pharma/Lifesciences)

Tiger Analytics Inc.

Jersey City, NJ • On-site

Full-time

Posted 26 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
We are seeking an experienced and AI-fluent seasoned lifesciences professional to take end-to-end ownership of designing and building data architecture and data products for our client. In this role, you will lead the development of an AI-ready data analytics ecosystem, drive business solutions at the intersection of data and complex processes, and play a critical role in expanding our footprint by cultivating strong client relationships and identifying new adjacencies.
RESPONSIBILITIES:
      • Architectural Leadership: Lead the end-to-end design and implementation of data architecture and innovative data products tailored to therapeutic areas.
      • AI & Engineering Innovation: Leverage AI fluency and advanced engineering tools to build "Art of the Possible" MVPs that solve critical business problems.
      • Solution Delivery: Utilize "Vibe Coding" and Vibe Engineering tools to streamline development and analytics.
      • Business Partnership: Act as a strategic partner to stakeholders within Life Sciences Commercial Sales & Marketing.
      • Relationship Management: Manage and expand client relationships, identifying business opportunities to grow the account.
      • Team Leadership: Oversee delivery for a significantly large team spanning both onsite and offshore resources.

Requirements
  • 8-12 years of relevant experience.
  • Strong Life Sciences domain background, specifically in Commercial Sales & Marketing.
  • Deep expertise in Data Products and Data Analytics, including fluency with Pharma Data Sources. including: Claims and Prescriber data (e.g., IQVIA Xponent, Plantrak, LAAD, PE), Execution data (e.g., Veeva CRM), Real-World Data (RWD) sources such as TriNetX, Flatiron, Optum, and Komodo. Specialty Pharmacy data and Payer Formulary (MMIT) data.
  • Proven experience across one or more of the following: Oncology, Vaccines, Infectious Diseases, Cardiometabolic and Respiratory Diseases, Immunology, Neuroscience, and Ophthalmology.
  • Graduate in Business Analytics or MBA or equivalent work experience

Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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