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Executive Data Science Analytics Jobs in Indiana

The Data Science Intern will join the Data Intelligence team and gain hands-on experience applying ... The internship emphasizes developing analytical, statistical, and problem-solving skills while ...

The Data Science Intern will join the Data Intelligence team and gain hands-on experience applying ... The internship emphasizes developing analytical, statistical, and problem-solving skills while ...

Data Science Tutor

Fort Wayne, IN · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Bloomington, IN · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Valparaiso, IN · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

$35/hr

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

$35/hr

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

$35/hr

Develop, analyze and model operational, economic, management, accounting and other organizational ... The data science intern will help drive proactive and predictive insights that inform strategic ...

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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.

What is an executive data science analytics?

An executive data science analytics role involves leading data analysis projects, interpreting complex data to inform strategic decisions, and communicating insights to senior management. Professionals in this position often have strong skills in statistical modeling, data visualization, and tools like Python or R, with a focus on aligning data initiatives with business goals.

What cities in Indiana are hiring for Executive Data Science Analytics jobs?

Cities in Indiana with the most Executive Data Science Analytics job openings:

Data Science Intern

Carmel, IN • On-site

Allied Solutions LLC
Finance and Insurance • 1 - 5K employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Allied Solutions rating

7.9

Company rating: 7.9 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

187th of 315 rated insurance


Job description

The Allied Solutions internship program is a robust and consistent internship program for rising Juniors and Seniors. The program will focus on learning and development as well as hands-on experience. The program will immerse the intern into a broad range of responsibilities, allowing you to execute projects within your area of professional interests.
Interested applicants must be available during the 12-week program (May 17th - Aug. 6th, 2027). This is a full-time internship (40-hours per week) based at our headquarters in Carmel, IN.
The Data Science Intern will join the Data Intelligence team and gain hands-on experience applying data, analytics, and AI to real business challenges. This role is designed for students interested in pursuing a career in Data Science and provides exposure to the full data lifecycle through structured rotations across Data Science, Data Engineering, Data Governance, and Data Analytics. The internship emphasizes developing analytical, statistical, and problem-solving skills while building an understanding of how enterprise data is collected, managed, governed, and transformed into actionable insights.
Job Duties and Responsibilities
  • Assist with exploratory data analysis to identify patterns, trends, and actionable business insights.

  • Support the development, testing, and evaluation of predictive models, machine learning solutions, and AI use cases.

  • Prepare, cleanse, and transform data for analytical and Data Science applications.

  • Create visualizations and presentations that communicate findings and recommendations to business stakeholders.

  • Conduct research on emerging AI, machine learning, and advanced analytics techniques.

  • Participate in a Data Engineering rotation focused on data pipelines, data integration, and modern data platform concepts (20%).

  • Participate in a Data Governance rotation focused on data quality, stewardship, metadata management, and trusted data practices (15%).

  • Participate in a Data Analytics rotation focused on reporting, dashboards, performance metrics, and business decision support (15%).

  • Collaborate with Data Intelligence team members across multiple disciplines to understand the end-to-end data lifecycle.

  • Present project outcomes and internship learnings to leadership and stakeholders.

  • Perform other projects and analyses as assigned.

Qualifications (Education, Experience, Certifications & KSA)
  • Currently enrolled in an undergraduate program as a rising Junior or Senior, pursuing a degree in Data Science, Analytics, Statistics, Computer Science, or a related field.

  • Foundational experience with Python, SQL, and data analysis concepts.

  • Understanding statistics, analytical methods, or machine learning concepts.

  • Proficiency in Microsoft Office, particularly Excel.

  • Strong problem-solving skills and attention to detail.

  • Curiosity about AI, machine learning, advanced analytics, and emerging technologies.

  • Interest in how organizations leverage data as a strategic asset.

  • Strong written and verbal communication skills.

  • Ability to manage multiple priorities and meet deadlines.

  • Eagerness to learn and adapt in a fast-paced environment.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, skills, efforts or working conditions associated with a job.
#LI-SJ1
#Li-Onsite
We offer our employees a robust compensation package! Our comprehensive benefits include: medical, dental and vision insurance coverage; 100% company-paid life and disability coverage, 401k options with company match, three weeks PTO by the end of the first year and much more. Allied proudly promotes from within as part of a strong commitment to providing career growth opportunities for employees of all levels. Our diverse business portfolio allows employees broad career options with the advantage of staying with the same organization.
All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
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