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Executive Aetna Data Scientist Jobs (NOW HIRING)

CACI

Data Scientist

Alexandria, VA · On-site

The Data Scientist will develop advanced analytical models, artificial intelligence (AI ... Develop dashboards, analytical visualizations, predictive data products, and executive decision ...

CACI

Data Scientist

Alexandria, VA · On-site

The Data Scientist will develop advanced analytical models, artificial intelligence (AI ... Develop dashboards, analytical visualizations, predictive data products, and executive decision ...

Unchain Data

Data Scientist

Miami, FL · On-site

$150 - $200/hr

Apply data science and analytical methods to develop reusable models, reports, dashboards, and ... executives and backed by a board of directors consisting of industry veterans of energy, finance ...

Unchain Data

$150 - $200/hr

Apply data science and analytical methods to develop reusable models, reports, dashboards, and ... executives and backed by a board of directors consisting of industry veterans of energy, finance ...

Socket.dev

Data Scientist

Manhattan, NY · On-site

$150 - $200/hr

As a Data Scientist, you'll turn that data into models and analyses that ship inside the product ... Fully paid health coverage through Aetna -- we cover 100% of employee premiums * Top-tier dental ...

Stellantis

Data Scientist

Auburn Hills, MI · On-site

Your mission is to build and scale trusted data science products that power commercial ... Develop defensible, well-documented methodologies that stand up to executive scrutiny and support ...

Confido

Data Scientist

New York, NY · On-site

$150K - $190K/yr

As a Data Scientist, you'll turn that data into models and analyses that ship inside the product ... Fully paid health coverage through Aetna - we cover 100% of employee premiums * Top-tier dental and ...

International Executive Service Corps

$200 - $250/hr

Data Scientist CANDIDATES MUST HAVE AN ACTIVE TS/SCI w/ Poly For over 40 years, DCCA has provided a ... empower executive decision-making. Cross-Functional Collaboration: Collaborate with cross ...

Cacheflow

Principal Data Scientist

San Francisco, CA · On-site

$150 - $200/hr

Executive translation. Translate complex data science findings into clear, actionable narratives for the CEO, C-suite, and Board of Directors -- ensuring data science insights directly inform the ...

Databricks

Principal Data Scientist

Mountain View, CA · On-site

Executive translation. Translate complex data science findings into clear, actionable narratives for the CEO, C-suite, and Board of Directors - ensuring data science insights directly inform the ...

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

Data Scientist About the Organization Now is a great time to join Redhorse Corporation. Our mission ... In accordance with Executive Order 14042 as a Federal Contractor Redhorse requires all U.S. new ...

Pantheon Data

Data Scientist

Washington, DC · On-site

$80K - $150K/yr

Present findings to technical and executive audiences.Collaborate with engineers, analysts, and stakeholders.Required Skills and ExperienceBachelor's degree in Data Science, Engineering, Mathematics ...

Pantheon Data

Data Scientist

Washington, DC · On-site

$80K - $150K/yr

Present findings to technical and executive audiences. * Collaborate with engineers, analysts, and stakeholders. Required Skills and Experience * Bachelor's degree in Data Science, Engineering ...

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Executive Aetna Data Scientist information

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$46K

$165K

$243.5K

How much do executive aetna data scientist jobs pay per year?

As of Sep 8, 2026, the average yearly pay for executive 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 does an Executive Aetna Data Scientist do?

An Executive Aetna Data Scientist leads high-level data analysis initiatives within Aetna, focusing on extracting insights from large healthcare datasets to inform business strategy and improve patient outcomes. They oversee the development of predictive models, data-driven solutions, and advanced analytics projects, often collaborating with other executives and stakeholders. Their role includes mentoring data science teams, ensuring data integrity, and aligning analytics projects with organizational goals. This position requires both technical expertise and strong leadership skills.

What are the key skills and qualifications needed to thrive as an Executive Aetna Data Scientist?

To thrive as an Executive Aetna Data Scientist, you need advanced expertise in statistics, machine learning, and data analytics, often supported by a degree in a quantitative field and relevant industry experience. Proficiency with programming languages such as Python or R, data visualization tools, and familiarity with healthcare data systems and compliance (like HIPAA) are typically required. Strategic thinking, leadership, and strong communication skills help drive data-driven decisions and effectively collaborate with cross-functional stakeholders. These abilities ensure impactful insights that support business objectives and drive innovation in a complex healthcare environment.

What are some common challenges an Executive Aetna Data Scientist may face when working with healthcare data, and how are they typically addressed?

Executive Aetna Data Scientists often encounter challenges such as ensuring data privacy and compliance with healthcare regulations like HIPAA, managing large and complex datasets from multiple sources, and translating analytical insights into actionable business strategies. These challenges are typically addressed by working closely with cross-functional teams including IT, compliance, and business leaders, implementing strong data governance protocols, and leveraging advanced tools for data integration and analysis. Continuous professional development and collaboration are essential to stay updated with industry best practices and regulatory changes.

What is the difference between Executive Aetna Data Scientist vs Data Analyst?

AspectExecutive Aetna Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often with certifications in data toolsBachelor's degree in related fields; certifications are a plus but not mandatory
Work EnvironmentCorporate healthcare setting, collaborating with cross-functional teams on complex projectsBusiness or healthcare organizations, focusing on data reporting and basic analysis
Employer & Industry UsageUsed extensively in healthcare insurance companies like Aetna for predictive modeling and decision supportCommon across various industries, including healthcare, for data reporting and insights

Executive Aetna Data Scientists focus on advanced analytics, predictive modeling, and strategic insights within healthcare insurance companies like Aetna. Data Analysts typically handle data reporting, basic analysis, and visualization tasks. While both roles require familiarity with data tools, Executive Data Scientists usually have more advanced credentials and work on complex projects, whereas Data Analysts focus on operational data insights.

What cities are hiring for Executive Aetna Data Scientist jobs?

Cities with the most Executive 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 Executive Aetna Data Scientist jobs?

States with the most job openings for Executive Aetna Data Scientist jobs include:

Executive Aetna Data Scientist jobs near you
Infographic showing various Executive Aetna Data Scientist job openings in the United States as of July 2026, with employment types broken down into 3% Locum Tenens, 54% Internship, 36% Full Time, 4% Part Time, 1% Contract, and 2% Summer. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

Indotronix International Corporation

Woonsocket, RI • On-site

Full-time, Contractor

Posted 11 days ago

Key responsibilities

  • Lead full-cycle development of AI models, including data analysis, model building, training, and refinement.

  • Analyze call center interactions to identify service drivers, efficiency gaps, and opportunities for digital self-service.

  • Collaborate with cross-functional teams to operationalize analytical outputs into dashboards and reusable assets.

Job description

Senior Data Scientist - Call Center Innovation Lab (Remote, Contract to Hire)
About the Role
Join our fast-paced Call Center Innovation Lab as a Senior Data Scientist and drive large-scale transformation in customer experience and digital self-service across Aetna. You'll work remotely, collaborating with passionate teams to extract actionable insights from call transcripts and unstructured data using the latest NLP, LLMs, and transformer models. This is a unique opportunity to shape enterprise-wide solutions, expand model coverage, and play a pivotal role in building scalable frameworks that directly impact business outcomes.
Responsibilities
- Lead full-cycle development of AI models: from raw text data analysis to model building, training, and iterative refinement.
- Analyze call center interactions to uncover service drivers, efficiency gaps, and digital self-service opportunities.
- Apply NLP, LLMs, and GenAI techniques to extract insights from large-scale call transcripts and related text data.
- Design, implement, and evaluate pilots, experiments, and quasi-experiments to quantify business impact.
- Translate complex analytics into clear, actionable recommendations for both technical and senior business stakeholders.
- Collaborate with cross-functional teams, including Digital SMEs and Data Engineering partners, to operationalize analytical outputs into dashboards and reusable assets.
- Synthesize stakeholder requirements and clearly communicate model capabilities, ROI, and business value.
- Expand existing solutions to support multiple business lines and develop new model types to extract novel insights.
Required Skills and Experience
- Minimum 3 years in data science, advanced analytics, or similar roles with end-to-end model delivery experience.
- Hands-on proficiency in SQL and Python for analysis and modeling.
- Deep expertise with NLP, LLMs, or GenAI applied to text/conversational data (call transcripts, chat logs).
- Experience designing and analyzing experiments, pilots, or A/B tests, converting results into business actions.
- Demonstrated strength in developing scalable analytical assets (frameworks, dashboards, scorecards).
- Excellent communication skills for translating technical outcomes into business value for diverse audiences.
- Proven ability to work independently and cross-functionally in dynamic, fast-moving environments.
- Familiarity with version control systems (e.g., Git) and modern data workflows.
Preferred Skills
- Experience with call center, virtual assistant, or contact center data.
- Familiarity with Google Cloud Platform (GCP), Vertex AI, or equivalent enterprise AI platforms.
- Background in digital, customer interaction, or call center analytics.
- Ability to clearly articulate technical tradeoffs and business impact to senior leadership.
- Master's degree in Computer Science, Engineering, Analytics, Statistics, or related quantitative field.
Benefits
- Remote, flexible work environment with leading-edge AI projects.
- Direct impact on digital transformation at enterprise scale.
- Opportunity to expand AI/ML skills with advanced NLP and LLMs.
- Collaborative culture with high visibility to business and technical leadership.
- Contract to hire - potential pathway to full-time employment with a Fortune 500 organization.
How to Apply
Ready to drive innovation and build the next generation of AI-powered solutions? Submit your application with your updated resume detailing relevant experience in NLP, LLMs, and data science. We are seeking independent, impact-driven professionals eager to make a measurable difference. Background check and drug screening required.
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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US

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