1

Executive Data Scientist Jobs in Indiana (NOW HIRING)

This Data Scientist role offers the opportunity to help CSAA Insurance Group anticipate and prepare ... Interpret simulation results and large datasets, delivering actionable insights to executive and ...

Partner with executive leadership to translate information needs into scalable analytics solutions ... Lead, coach, and develop a team of 2 to 5 data analysts, data scientists, BI developers, and ...

Partner with executive leadership to translate information needs into scalable analytics solutions ... Lead, coach, and develop a team of 2 to 5 data analysts, data scientists, BI developers, and ...

New

Data Project Manager

Indianapolis, IN · On-site

$49.50 - $67/hr

Lead monthly and quarterly steering committee meetings, preparing executive-level metrics ... Support Data Science Expansion & New Opportunities * Stay closely aligned with evolving business ...

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... executive decision-making. The Senior Data Engineer will work closely with analytics, data science, and business stakeholders to standardize data definitions, improve data quality, and reduce ...

next page

Showing results 1-20

Executive Data Scientist information

See Indiana salary details

$43.8K

$157K

$231.7K

How much do executive data scientist jobs pay per year?

As of Aug 23, 2026, the average yearly pay for executive data scientist in Indiana is $157,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,000.00 and $161,800.00 per year, depending on experience, location, and employer.

What is an executive data scientist?

An Executive Data Scientist is a senior-level professional who leads data science initiatives within an organization. They are responsible for setting strategic direction, overseeing large-scale data projects, and bridging the gap between technical data teams and business leadership. Their role involves not only advanced analytics and modeling but also communicating insights to stakeholders and ensuring data-driven decisions align with business goals. Executive Data Scientists often manage teams, influence company data strategy, and play a key role in driving innovation and digital transformation.

How does an executive data scientist typically collaborate with leadership and cross-functional teams?

Executive Data Scientists play a strategic role by bridging the gap between data science teams and organizational leadership. They regularly translate complex analytical insights into actionable business recommendations for executives, and work closely with stakeholders across departments such as IT, marketing, and operations. This collaboration ensures that data-driven initiatives align with business objectives and that projects receive the resources and support needed for success. Effective communication and stakeholder management are key aspects of the role, as is mentoring junior data scientists and fostering a culture of innovation.

What are the key skills and qualifications needed to thrive as an executive data scientist, and why are they important?

To thrive as an Executive Data Scientist, you need advanced expertise in data analytics, machine learning, and statistical modeling, usually backed by a master's or PhD in a quantitative field. Familiarity with big data platforms (like Hadoop or Spark), programming languages (Python, R), and data visualization tools, along with certifications such as Certified Analytics Professional (CAP), is highly valued. Leadership, strategic thinking, and the ability to communicate complex insights to non-technical stakeholders are crucial soft skills for this role. These skills ensure effective data-driven decision-making at the executive level, driving business innovation and competitive advantage.

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

AspectExecutive Data ScientistData Scientist
CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentStrategic roles, leadership teams, executive meetingsData analysis, model development, technical tasks
Employer & Industry UsageSenior roles in tech, finance, healthcare, and large enterprisesStartups, tech companies, research institutions

Executive Data Scientists focus on strategic decision-making and leadership, often overseeing data teams and aligning data initiatives with business goals. Data Scientists primarily handle technical data analysis, modeling, and insights generation. While both roles require strong analytical skills, Executive Data Scientists combine technical expertise with leadership and strategic planning, making them suitable for senior management positions.

What are the most commonly searched types of Data Scientist jobs in Indiana?

The most popular types of Data Scientist jobs in Indiana are:

$143K - $229K/yr

Other

Medical, Retirement, PTO

Posted 14 days ago


Blue Cross and Blue Shield of North Carolina rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

196th of 311 rated insurance


Job description

Job Description

The Principal Data Scientist will serve as the principal lead to provide accurate and quality analyses that translate data in sound organizational decisions. In this role you will provide strategic thought leadership and partner with other functional areas to deliver collaborative work products that align with divisional and enterprise strategy. You will own delivery of multiple large and/or complex data science and engineering projects.

What You'll Do

  • Lead in the development and testing of hypotheses across all functional data sets

  • Lead requirements gathering sessions with business and technical staff to distill technical requirement from business requests

  • Define and implement integrated data models, allowing integration of data from multiple sources

  • Design and develop scalable, efficient data pipeline processes to handle data ingestion, cleansing, transformation, integration, and validation

  • Define and implement data stores based on system requirements and consumer requirements

  • Design and develop models to understand and solve multiple complex business solutions using a variety of methods including data mining, statistical analysis, predictive modeling and analysis, stochastic modeling, pattern recognition, probability analysis, and network analysis

  • Design and implement production models leveraging technologies such Python, and R

  • Leverage existing data sets and engineer new data sets including development of SQL queries, data integration and resolution of data quality issues

  • Apply advanced conceptual understanding of Big Data systems to data set engineering and analytic model implementation

  • Lead development and reviews of complex analytic models and algorithms

  • Identify actionable insights, suggest recommendations, and influence business direction by effectively communicating results to cross functional groups

  • Document and test analytic processes including performance and thorough data validation and verification

  • Engage with enterprise business areas to incorporate feedback into audit process including but not limited to Payment Integrity, SIU, Provider, Behavioral Health, Med Policy, Claims, Pharmacy
  • Articulate analytic methods and drive business outcomes with responsible business areas
  • Consult with executive level leadership across the organization- with responsibility to drive CoC ideation for Commercial and Medicare
  • Informally lead other analysts and synthesize information and make recommendations to executive leadership
What You Bring
  • Bachelor's degree or advanced degree (where required)

  • 8+ years of experience in related field.

  • In lieu of degree, 10+ years of experience in related field.

  • Strong Analytic/Data Science skills:

  • Experience with Snowflake

  • Experience building AI Agents

  • Understand Bell curve analysis

  • Incorporate Industry benchmarks into analysis

  • Perform outlier detection

  • Strong healthcare experience with Payment Integrity/FWA business knowledge is required

  • understanding of FWA concepts, CMS guidelines, Medical/Reimbursement Policy are all strongly preferred

Salary Range

At Blue Cross NC, we take great pride in a fair and equitable compensation package that reflects market-price and our starting salaries are typically planned near the middle of the range listed. Compensation decisions are driven by factors including experience and training, specialized skill sets, licensure and certifications and other business and organizational needs.Our base salary is part of a robust Total Rewards package that includes an Annual Incentive Bonus*, 401(k) with employer match, Paid Time Off (PTO), and competitive health benefits and wellness programs.

*Based on annual corporate goal achievement and individual performance.

$143,616.00 - $229,786.00

Skills

Big Data, Complex Data Analysis, Data Analysis, Data Engineering, Data Mining, Data Modeling Techniques, Data Science, Data Visualization, Machine Learning (ML), Predictive Analytics, Predictive Modeling, Python (Programming Language), Statistical Analysis, Statistical Models

_____________________________________________________________________
JOB ALERT FRAUD: We have become aware of scams from individuals, organizations, and internet sites claiming to represent Blue Cross and Blue Shield of North Carolina in recruitment activities in return for disclosing financial information. Our hiring process does not include text-based conversations or interviews and never requires payment or fees from job applicants. All our career opportunities are published on https://bcbsnc.wd5.myworkdayjobs.com/en-US/BCBSNC. If you have already provided your personal information that you suspect is fraudulent activity, please report it to your local authorities. Any fraudulent activity should be reported to: HR.Staffing@BCBSNC.com.


What Blue Cross and Blue Shield of North Carolina employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom