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Executive Data Science Analytics Jobs in Indiana

Deloitte

AI and Data Science Engineer III

Indianapolis, IN · On-site +1

$109K - $131K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ... products and analytics. You will work with an AI Data Engineer (data ingestion, curation ...

BC Forward

Data Analyst V - CX or VoC

Indianapolis, IN · On-site +1

$58 - $65/hr

Degree in Analytics, Statistics, Mathematics, Computer/Data Science, Engineering, or related field. 6+ years in data analytics, data science, or related fields, including 3+ years in CX, customer ...

Motorola

$120K - $150K/yr

Executive Interfacing: Act as the "voice of the data" for MSI executives, translating technical ... Education: Bachelor's degree required; an MBA or a degree in Data Science/Analytics is a ...

RR

Data Systems/Solutions Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

The position emphasizes the development of robust, secure, and reproducible data infrastructure that supports data science, analytics, and AI-driven research. The Engineer applies modern software ...

Circle

$152K - $205K/yr

Create data visualizations to translate analytic and data science results for broad understanding across the business * Build scalable automation solutions using SQL, dashboards, and other tools to ...

Circle

$152K - $205K/yr

Create data visualizations to translate analytic and data science results for broad understanding across the business * Build scalable automation solutions using SQL, dashboards, and other tools to ...

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Executive Data Science Analytics information

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

AspectExecutive Data Science AnalyticsData Scientist
CredentialsAdvanced degrees (Master's/PhD), certifications in analytics or data scienceBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentStrategic leadership, executive meetings, cross-departmental collaborationTechnical analysis, coding, model development, data exploration
Employer & Industry UsageSenior roles in corporations, consulting firms, and tech companiesTech companies, finance, healthcare, and research organizations
Search & Comparison IntentUnderstanding strategic vs technical roles, career progressionTechnical skills, daily tasks, qualifications

Executive Data Science Analytics focuses on strategic decision-making, leadership, and high-level analytics, often requiring advanced degrees and certifications. Data Scientists are more hands-on with technical analysis, coding, and model building. Both roles are vital in data-driven organizations but differ in scope, responsibilities, and work environment.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, the need for human expertise in interpreting results, understanding business context, and communicating findings remains essential in data analysis roles.

Which is better, DS or CS?

For an Executive Data Science Analytics role, both Data Science (DS) and Computer Science (CS) backgrounds provide valuable skills. DS emphasizes statistical analysis, modeling, and data-driven decision-making, while CS focuses on programming, algorithms, and software development. The choice depends on the specific job requirements, but a strong foundation in data analysis tools and programming languages like Python or R is essential for success in this role.

Is 40 too late for data science?

Age is not a barrier to becoming an executive data science analyst; many professionals successfully transition into data science at 40 or later by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Experience in related fields can also be valuable, and continuous learning is key in the evolving data science industry.

What is the highest paying job in data analytics?

In data analytics, executive roles such as Chief Data Officer (CDO) or Vice President of Data often have the highest salaries, especially in large organizations. These positions require extensive experience, leadership skills, and expertise in data strategy, analytics tools, and data governance.
What cities in Indiana are hiring for Executive Data Science Analytics jobs? Cities in Indiana with the most Executive Data Science Analytics job openings:
Executive Data Science Analytics jobs near you
Data Scientist

Data Scientist

US Department of Homeland Security

Indianapolis, IN • On-site

$125K/yr

Other

Posted 3 days ago

U.S. Department Of Homeland Security rating

7.8

Company rating: 7.8 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

84th of 275 rated public sector bodies

Job description

Organizational Location: This position is with the Department of Homeland Security, within U.S. Customs and Border Protection, Office of Human Resources Management, People Analytics Division, in the following locations:
  • Indianapolis, IN
  • Minneapolis, MN
  • Washington, D.C.
Salary: Salary listed reflects the rest of U.S. scale and, if applicable, will be adjusted to meet the locality pay or cost of living expenses of the duty location upon selection.Qualifications:Basic Requirements:

Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.

or

Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.

AND
You qualify for this position if you meet the basic requirement listed above and possess the experience as described below:
Experience: You qualify for the GS-14 grade level if you possess 1 year of specialized experience equivalent to at least the next lower grade level, performing duties such as:
  • Applying advanced statistical techniques, including machine learning or statistical algorithms to analyze large datasets, identify trends, and extract actionable insights to inform decision-making using programming languages such as R or Python.
  • Applying expertise in database warehousing and structured querying to extract large volumes of structured and unstructured data from disparate data sources, ensuring data quality and optimizing model performance.
  • Applying principles and tooling common in software development, such as CI/CD pipelining, Git, DevSecOps, and Agile development.
  • Translating structured and unstructured data into clear, impactful visualizations, including charts, graphs, infographics, and other visual summaries. Effectively communicating trends, patterns, and insights to support decision-making.
  • Communicating technical and analytical findings through briefings, presentations, and reports to individuals and executives with varying levels of technical expertise.

NOTE: Your resume must explicitly indicate how you meet this requirement, otherwise you will be found ineligible. Please see the "Required Documents" section below for additional resume requirements.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
You must meet all qualification requirements, including education if applicable to this position, subject to verification at any stage of the application process by 06/17/2026.
The Office of Personnel Management (OPM) must authorize employment offers made to current or former political appointees. If you are currently, or have been within the last 5 years, a political Schedule A, Schedule C, Non-career SES or Presidential Appointee employee in the Executive Branch, you must disclose this information to the Human Resources Office.
Background Investigation: U.S. Customs and Border Protection (CBP) is a federal law enforcement agency that requires all applicants to undergo a thorough background investigation prior to employment in order to promote the agency's core values of vigilance, service to country, and integrity. During the screening and/or background investigation process, you will be asked questions regarding any felony criminal convictions or current felony charges, the use of illegal drugs (e.g., marijuana, cocaine, heroin, LSD, methamphetamines, ecstasy), and the use of non-prescribed controlled substances including any experimentation, possession, sale, receipt, manufacture, cultivation, production, transfer, shipping, trafficking, or distribution of controlled substances. For additional information on the preemployment process, review the following link: Applicant Resources | CBP Careers
Residency: There is a residency requirement for all applicants not currently employed by CBP. Individuals are required to have physically resided in the United States or its protectorates (as declared under international law) for at least three of the last five years. If you do not meet the residency requirement and you have been physically located in a foreign location for more than two of the last five years, you may request an exception to determine if you are eligible for a residency waiver by meeting one or more of the following conditions:
  • Working for the U.S. Government as a federal civilian or as a member of the military
  • A dependent who was authorized to accompany a federal civilian or member of the military who was working for the U.S. government
  • Participation in a study abroad program sponsored by a U.S. affiliated college or university
  • Working as a contractor, intern, consultant or volunteer supporting the U.S. government
Probationary Period: All employees new to the federal government must serve a one year probationary period during the first year of his/her initial permanent federal appointment to determine fitness for continued employment. Current and former federal employees may be required to serve or complete a probationary period.Education:Please see the Qualifications and Required Documents sections for more information if education is applicable to this position.Employment Type: OTHER

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About U.S. Department of Homeland Security

Sourced by ZipRecruiter

The US Department of Homeland Security (DHS) is a federal agency operating within the government services industry in Washington, DC, US. Established in 2003, the DHS is directly responsible for public security, roughly comparable to the interior or home ministries of other countries. Its main responsibilities include protecting the United States from and responding to terrorist attacks, man-made accidents, and natural disasters. Through its more than 20 component agencies including Coast Guard, Customs and Border Protection, Immigration and Customs Enforcement, it ensures the safety of the US through numerous programs and initiatives. The DHS upholds a core value system with the mission of safeguarding the American people, our homeland, and values. Notably, the DHS plays a critical role in the spectral range of activities to prepare, prevent, and respond to possible threats to the US.

Industry

Public administration

Company size

10,000+ Employees

Headquarters location

Washington, DC, US

Year founded

2003

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