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Aetna Data Scientist Jobs (NOW HIRING)

Analytics Engineer

New York, NY ยท On-site

$140K - $190K/yr

Partner with data scientists, analysts, and engineers to bridge business needs and data ... Health care coverage through Aetna (Medical, Dental, Vision) * Flexible paid time off * Gym ...

Partner with data scientists, analysts, and engineers to bridge business needs and data ... Health care coverage through Aetna (Medical, Dental, Vision) * Flexible paid time off * Gym ...

Senior Director, Payer Accounts

Houston, TX ยท On-site

$260 - $300/hr

... scientific and economic data to a multitude of payer stakeholders in driving support for future ... Cigna, Aetna, Elevance/Anthem, BCBS Plans, State Medicaid Agencies, etc.)Build and manage ...

New

Excellent communicator who can convey complex scientific and economic data to a multitude of payer ... Cigna, Aetna, Elevance/Anthem, BCBS Plans, State Medicaid Agencies, etc.) * Build and manage ...

As an Actuary within Aetna, a CVS Health company, you will leverage strong analytical skills ... Actuarial Science, Analytics, Data Science, Economics, Engineering, Mathematics, Risk Management ...

LanceSoft specializes in recruiting and retaining top clinical research & scientific talent for ... Johnson & Johnson, Merck, Pfizer, Novartis, Purdue, Eisai, Aetna, Becton & Dickinson, Actavis ...

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Aetna Data Scientist information

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$46K

$165K

$243.5K

How much do aetna data scientist jobs pay per year?

As of Aug 9, 2026, the average yearly pay for aetna data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is an Aetna data scientist?

An Aetna Data Scientist analyzes healthcare data to drive insights that improve patient outcomes, reduce costs, and enhance business decisions. They work with large datasets, applying machine learning, statistical analysis, and predictive modeling to identify trends. Aetna Data Scientists collaborate with cross-functional teams, including engineers and healthcare professionals, to develop data-driven solutions. Strong programming skills in Python, SQL, and expertise in data visualization tools are typically required.

What does a typical day look like for an Aetna data scientist?

As a Data Scientist at Aetna, your day will often involve extracting and analyzing large healthcare datasets, developing predictive models, and collaborating with business units to solve real-world challenges. You might participate in team meetings to discuss project goals, share findings, and refine methodologies based on stakeholder feedback. Engaging with cross-functional teams such as product managers, clinicians, and engineers is common, ensuring your work aligns with both technical and organizational objectives. This collaborative and dynamic environment allows you to contribute to impactful projects that help improve healthcare outcomes for millions of members.

What are the key skills and qualifications needed to thrive as an Aetna data scientist?

To thrive as an Aetna Data Scientist, you need a solid background in statistics, machine learning, and data analysis, typically supported by a degree in a quantitative field. Experience with tools such as Python, R, SQL, and data visualization platforms, along with knowledge of healthcare data systems, is highly valuable. Strong problem-solving abilities, effective communication, and a collaborative mindset help data scientists work cross-functionally and convey complex findings to stakeholders. These combined skills are crucial for uncovering actionable insights that drive health outcomes and business decisions within a leading healthcare organization.

More about Aetna Data Scientist jobs
What cities are hiring for Aetna Data Scientist jobs? Cities with the most Aetna Data Scientist job openings:
What are the most commonly searched types of Aetna Data Scientist jobs? The most popular types of Aetna Data Scientist jobs are:
What states have the most Aetna Data Scientist jobs? States with the most job openings for Aetna Data Scientist jobs include:
Infographic showing various Aetna Data Scientist job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Analytics Engineer

US Mobile

New York, NY โ€ข On-site

$140K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago


Job description

US Mobile is building the future of wireless communication. The goal: one unified network open to any person and any device, worldwide. Connection without walls.
We're getting there by empowering customers. All three major networks on one phone and one plan, plus home internet from Starlink. No lock-in. No commitments. Custom fit plans at every price point. 24/7 customer support with real people, empowered to help. We get real-time feedback from Reddit, surveys, and customer support informing product roadmaps and everything we do. It's working - Consumer Reports named us the top-rated mobile carrier two years in a row.*
And we're building innovative systems that scale. A network agnostic tech stack. Agile, cross-functional teams built on trust and mutual respect. This work isn't for everyone. If you work fast, flexibly, and collaboratively - without compromising standards - we want to hear from you.
We're looking for an Analytics Engineer to help build, scale, and maintain the data foundation that powers decision-making across the company. You'll work closely with stakeholders across product, analytics, engineering, and operations to understand business needs, design reliable data models, and deliver high-quality reporting and analytics infrastructure.
Responsibilities:
  • Partner with stakeholders to understand data needs and translate business questions into technical requirements for data models, pipelines, dashboards, and self-service tools.
  • Design, build, document, and maintain reliable data pipelines using dbt, Dagster, Redshift, and related tools.
  • Transform raw data into trusted, canonical datasets for reporting, analysis, experimentation, and decision-making.
  • Build high-performance dashboards and analytical tools in Hex, Tableau, or similar platforms.
  • Use AI tooling to accelerate pipeline development, SQL/dbt work, and documentation.
  • Partner with data scientists, analysts, and engineers to bridge business needs and data infrastructure.

Requirements:
  • 5+ years of experience in analytics engineering, data engineering, or business intelligence, ideally in a fast-paced, high-growth environment.
  • Strong SQL skills, including experience with large datasets, complex transformations, and performance optimization.
  • Hands-on experience designing and maintaining reliable data pipelines using modern tools such as dbt, Dagster, Redshift, or equivalent.
  • Proficiency in a scripting language; Python preferred.
  • Demonstrated use of AI in your day-to-day workflow - LLM-assisted coding or prompt-driven data exploration.
  • Experience building dashboards and analytical tools in Hex, Tableau, or comparable BI/reporting platforms.
  • Strong understanding of data modeling, metric design, and analytics engineering best practices.
  • Strong communication skills, with a bias toward clear documentation, reliable systems, and measurable business impact.

Benefits & Perks:
  • Health care coverage through Aetna (Medical, Dental, Vision)
  • Flexible paid time off
  • Gym reimbursement (up to $100 a month)
  • Commuter reimbursement (MTA, Metro North, etc..)
  • Free cell phone service
  • Your choice of equipment + Bose QC/Apple Airpod Pro headphones
  • 401k

$140,000 - $190,000 a year
Think you're a good fit? Apply to learn more!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.