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Full Time Data Science Jobs in Indiana (NOW HIRING)

CACI International, Inc.

Data Scientist

Crane, IN · On-site

Data Scientist Job Category: Information Technology Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel:

CSpring

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Our team has an immediate opening for a full-time, Sr. Data Engineer. If the idea of working on ... Bachelor's degree in in computer science, software engineering or a closely related field; a Master ...

Rolls-Royce

Machine Learning Engineer

Indianapolis, IN · On-site

Machine Learning Engineer Working Pattern: Full-time Working location: Indianapolis, IN (Hybrid ... In this role, you will tackle exciting challenges in AI/ML, software development, and Data Science.

Rolls-Royce

Machine Learning Engineer

Indianapolis, IN · Hybrid

Machine Learning Engineer Working Pattern: Full-time Working location: Indianapolis, IN (Hybrid ... In this role, you will tackle exciting challenges in AI/ML, software development, and Data Science.

CSpring

Senior Data Consultant

Indianapolis, IN · On-site

Our full-time consultants participate in meaningful technology projects that help our clients make ... science in business today. Preferred Skills: * Experience with other data and analytics tools and ...

Staffingine LLC

DWD - Data Analyst

Indianapolis, IN · On-site

Indianapolis, IN Job Type: Full-Time * Gather, clean, and organise large datasets from various ... Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field.

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All JobsData Science JobsFull Time Data Science JobsFull Time Data Science Jobs in Indiana

Full Time Data Science information

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks like data cleaning and basic analysis, but it is unlikely to fully replace them. Data scientists are needed to interpret complex results, develop models, and provide strategic insights that require domain expertise and critical thinking. Their skills in programming, statistical analysis, and understanding business context remain essential in leveraging AI effectively.

Is 30 too late for data science?

Full-time data science roles typically value skills and experience over age, and many professionals transition into the field later in life. Gaining proficiency in programming languages like Python or R, along with understanding machine learning concepts, can help late entrants succeed. Age is generally not a barrier if relevant skills and a strong portfolio are developed.

Is 40 too late for data science?

Full-time data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills such as programming, statistics, and experience with tools like Python or R. Many professionals transition into data science later in their careers, and continuous learning through online courses or certifications can enhance employability regardless of age.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.

Are data science jobs still in demand?

Data science jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in programming, statistical analysis, and machine learning tools like Python and R are highly sought after, and the field continues to grow as organizations prioritize data insights for competitive advantage.

What is the difference between Full Time Data Science vs Data Analyst?

AspectFull Time Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's degree in Statistics, Business, or related fields
Work EnvironmentCollaborative teams, often in tech, finance, or healthcare industriesBusiness units, marketing, or operations teams
Employer & Industry UsageTech companies, finance, healthcare, and large enterprisesRetail, marketing, finance, and consulting firms
Common Search & ComparisonFull Time Data Science vs Data Analyst

Full Time Data Science roles typically require advanced technical skills and focus on building predictive models and algorithms, while Data Analysts primarily interpret data, generate reports, and support decision-making. Both roles are essential in data-driven organizations but differ in scope and technical depth.

What jobs in the US pay 300,000 a year?

In data science, senior roles such as Lead Data Scientist, Data Science Director, or Chief Data Officer can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning, and industry expertise. These positions often require advanced degrees, strong programming skills, and leadership responsibilities, typically found in large corporations or tech firms.
What are the most commonly searched types of Data Science jobs in Indiana? The most popular types of Data Science jobs in Indiana are:
Full Time Data Science jobs near you
Sr. Data Science Analyst

Sr. Data Science Analyst

Indiana University Health

Indianapolis, IN • On-site

$82K - $103K/yr

Full-time

Re-posted 8 days ago

Indiana University Health rating

7.2

Company rating: 7.2 out of 10

Based on 457 frontline employees who took The Breakroom Quiz

328th of 880 rated healthcare providers

Job description


Sr. Data Science Analyst
Our team members advance our mission and exemplify excellence, compassion, teamwork, and purpose in all that they do. Indiana University Health is seeking individuals who embody these values to join our System Strategy Team in the role of Sr. Data Science Analyst.
We are seeking a highly technical, experienced data professional who serves as a subject matter expert and strategic partner across the organization. In this role, you will lead complex analytics initiatives, mentor junior team members, and deliver insights that inform clinical and operational decision-making. You will work closely with leadership and stakeholders to transform complex data into actionable strategies that improve performance and patient outcomes.
Key Relationships
Reports to: Director-Strategic Intelligence and Market Insights
Direct reports: None
Shift:Full-time, hybrid schedule
Location: Indianapolis, IN
The Scope:
This role supports IU Health's enterprise analytics and business intelligence efforts, including:
  • Building dashboards and delivering advanced reporting solutions for clinical and operational stakeholders
  • Conducting strategic analyses to solve complex business problems
  • Integrating and synthesizing data from multiple sources into meaningful insights
  • Partnering with stakeholders and leadership to identify opportunities and drive decision-making
  • Leading and supporting complex, technical projects with minimal oversight
  • Mentoring and guiding junior analysts to elevate team capability

The Sr. Data Science Analyst serves as a senior-level subject matter expert and key strategic partner, translating complex data into actionable insights that support organizational decision-making. This role ensures the effective use of financial and operational data, applies advanced analytical techniques to support business processes, and communicates findings clearly to stakeholders while driving system-wide performance and outcomes.
Candidate Qualifications
Candidates for this position will be evaluated according to the following criteria and competencies.
  • Bachelor's Degree required. Masters preferred
  • Requires Expert Level MS Excel, MS SQL Server, and MS SSRS skills
  • Ability to lead teams through complex, technical projects required
  • 7-10 years of experience required
  • Demonstrated experience in the healthcare industry required
  • Significant experience using Tableau, QlikView, Business Objects, Power BI, or other BI tools required
  • Familiarity with data visualization best practices strongly preferred
  • Familiarity with healthcare claims and billing process preferred
  • Knowledge of Indiana healthcare provider landscape preferred

The "DNA" for Success
  • Technical Expert: You bring deep expertise in SQL, BI tools, and advanced analytics.
  • Strategic Thinker: You connect data insights to broader organizational goals and outcomes.
  • Problem Solver: You independently tackle complex business challenges with confidence.
  • Strong Communicator: You clearly explain complex data to both technical and non-technical audiences.
  • Collaborative Partner: You build strong relationships with stakeholders across clinical and operational teams.
  • Leader & Mentor: You guide others while elevating team capability.
  • Detail-Driven: You ensure data accuracy and reliability in high-impact reporting.
  • Self-Directed: You thrive with minimal oversight and take ownership of outcomes.

Indiana University Health is unlike any other healthcare system and we're looking for team members who share the things that matter most to us. IU Health leaders play a crucial role in advancing the mission of our organization and inspiring teams to make a meaningful difference in the lives of patients. As one of Indiana's largest employers and the most comprehensive medical system in the state, our vision is to lead the transformation of healthcare through quality, innovation and education, and make Indiana one of the nation's healthiest states.
IU Health is the largest health system in Indiana with nearly 40,000 team members, 15 hospitals and $8.64 billion in operating revenue. The system's programs in cancer, cardiovascular, neuroscience, orthopedics, pediatrics and transplants have received national recognition for quality patient care. IU Health, in partnership with the Indiana University School of Medicine, bring together highly skilled physicians, researchers, and educators into close collaboration to provide world-class care for children and adults and improve the health of patients and communities across Indiana.
Indiana University Health is dedicated to a fair hiring process and is committed to equal opportunity and nondiscrimination for all individuals, regardless of age, color, disability, ethnicity, marital status, national origin, race, religion, gender identity, expression, sexual orientation, or veteran status.
About Us
  • Indiana University Health has nearly 40,000 team members, including more than 3,600 physicians and 1,200 advanced practice providers, and we're home to the largest nursing network in Indiana with more than 9,000 nursing team members at over 800 sites of care.
  • IU Health is ranked No. 1 in Indiana by U.S. News & World Report, Riley Children's Health is ranked among the top children's hospitals in the country by U.S. News & World Report.
  • A unique partnership with the Indiana University School of Medicine - one of the nation's largest medical schools - gives patients access to groundbreaking research and innovative treatments, and it offers team members access to the latest science and the very best training - advancing healthcare for all.
  • With 15 hospitals, including seven with Magnet designation and eight with Pathways to Excellence designation, our team members are leading the way through excellence.
  • At Indiana University Health, your personal and professional growth is a top priority. You will have access to many diverse opportunities to learn and develop in meaningful ways that matter most to you, such as advanced clinical training, leadership development, promotion opportunities and cross training development.
  • Indiana University Health is invested in the lives of Hoosiers, leading the transformation of healthcare to make Indiana one of the nation's healthiest states.

About the Team
Indiana University Health is Indiana's most comprehensive health system, with 15 hospitals and nearly 40,000 team members serving Hoosiers across the state. We're looking for team members who are inspired by challenging and meaningful work for the good of every patient. People who are compassionate and serve with a purpose. People who aspire to excellence every day.

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