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Data Analyst Data Scientist Jobs in Indiana (NOW HIRING)

Data Scientist

Indianapolis, IN · On-site

$105K - $195K/yr

You have experience in the areas of analytics, data transformation, and data science. You are passionate about applying state-of-the-art analytical methods, as well as cutting edge machine learning ...

Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field. Proficiency in data analysis tools such as SQL, Python, R, or Excel. Experience with data visualization ...

Explain advanced analytic and modeling procedures in the language that audiences with no predictive ... Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or ...

Explain advanced analytic and modeling procedures in the language that audiences with no predictive ... Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or ...

Data analyst Location: WARSAW, IN Full time position with PHARMA industry TRAVEL: Global travel if applicable would be extremely minimal. Some domestic travel may be required but very little. This ...

Data analyst Location: WARSAW, IN Full time position with PHARMA industry TRAVEL: Global travel if applicable would be extremely minimal. Some domestic travel may be required but very little. This ...

Developing and maintaining data science models, detection analytics, and behavioral algorithms for cybersecurity use cases. * Performing proactive threat hunting activities using large-scale ...

Explain advanced analytic and modeling procedures in the language that audiences with no predictive ... Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or ...

Explain advanced analytic and modeling procedures in the language that audiences with no predictive ... Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or ...

Strong analytical, documentation, and communication skills * Secret level Clearance required Key ... Help transition of data science models into continuous production systems Business Systems ...

Developing and maintaining data science models, detection analytics, and behavioral algorithms for cybersecurity use cases. * Performing proactive threat hunting activities using large-scale ...

Senior Data Scientist

Carmel, IN · On-site

$119K - $144K/yr

Use statistical, economic, and advanced data analysis to uncover meaningful patterns in market ... Lead end-to-end data science projects - from defining the problem and project scope through ...

The Data Analyst - Manufacturing is responsible for analyzing production and operational data to ... Ability to read, analyze, and interpret common scientific and technical journals, financial reports ...

Senior Data Scientist

Columbus, IN · On-site

$80K - $90K/yr

Analyze large datasets to identify trends, patterns, and correlations, and interpret findings to ... data science, or related fields. • Strong expertise in machine learning & deep learning ...

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Data Analyst Data Scientist information

See Indiana salary details

$43.8K

$157K

$231.7K

How much do data analyst data scientist jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data analyst 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 are the key skills and qualifications needed to thrive as a data analyst or data scientist?

To thrive as a Data Analyst or Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, machine learning frameworks, and data visualization platforms such as Tableau or Power BI is essential, along with relevant certifications. Excellent problem-solving, communication, and critical thinking skills help translate data insights into actionable business strategies. These skills and qualities are important because they enable professionals to extract meaningful insights from complex data, driving informed decision-making and organizational success.

What are some common challenges data analyst data scientists face when collaborating with cross-functional teams?

Data Analyst Data Scientists often work closely with stakeholders from various departments, such as marketing, product, and engineering. A common challenge is translating complex data findings into actionable insights that non-technical team members can easily understand. Additionally, aligning on project goals and managing expectations regarding timelines and data availability can require strong communication and project management skills. Building relationships and fostering open dialogue are key to ensuring successful collaboration and impactful data-driven decision-making.

What is the difference between Data Analyst Data Scientist vs Data Engineer?

AspectData AnalystData ScientistData Engineer
CredentialsBachelor's in Analytics, Statistics, or related fieldsBachelor's/Master's in Computer Science, Statistics, or related fieldsBachelor's/Master's in Computer Engineering, Software Engineering, or related fields
Work EnvironmentBusiness intelligence teams, reporting, data visualizationAdvanced analytics, machine learning, predictive modelingData infrastructure, pipelines, database management
Industry UsageCommon in finance, marketing, healthcareUsed in research, product development, AI projectsIntegral to data infrastructure across industries

Data Analysts focus on interpreting data and creating reports, while Data Scientists develop models and algorithms. Data Engineers build and maintain the data infrastructure that supports both roles. Understanding these differences helps organizations assign the right tasks to the right professionals.

What are popular job titles related to Data Analyst Data Scientist jobs in Indiana?

For Data Analyst Data Scientist jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Data Analyst Data Scientist jobs in Indiana look for?

The top searched job categories for Data Analyst Data Scientist jobs in Indiana are:

What cities in Indiana are hiring for Data Analyst Data Scientist jobs?

Cities in Indiana with the most Data Analyst Data Scientist job openings:

Infographic showing various Data Analyst Data Scientist job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $157,025 per year, or $75.5 per hour.

Data Scientist

Indianapolis, IN • On-site


Roche
10K+ employees

9.3

Company rating: 9.3 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

3rd of 86 rated pharmaceutical

Great coworkers

People enjoy working here

Good employer


$105K - $195K/yr

Full-time

Posted 10 days ago


Job description

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

The Opportunity

As a Data Scientist, you will position data science as a key competency within the enterprise and be responsible for creating value from data assets using advanced analytics capabilities including data science, machine learning, and artificial intelligence methodologies to identify critical business risk and opportunities for Roche.

You will help Roche Diagnostics continue to progress through the data maturity model using data science methods and principles to generate deeper insights from a great variety of internal and external data sources. To achieve this, you will identify needs, lead the design and implementation of analytical solutions, provide advice and consulting support to our key business stakeholders and demonstrate value by executing proof-of-concept initiatives and prototyping analytical solutions to answer business questions.

You have an overall understanding of the key challenges in our industry. You have experience in the areas of analytics, data transformation, and data science. You are passionate about applying state-of-the-art analytical methods, as well as cutting edge machine learning algorithms to find solutions to complex business problems.

Key Responsibilities:

  • Identify high-impact data science use cases, develop and implement innovative solutions to drive business impact and develop state-of-the-art analytical capabilities to address identified needs.

  • Evaluate, drive and implement solutions from concept to minimum viable product and final product.

  • Apply analytical and statistical methods to solve identified use cases in an agile manner using multiple data sources and analytical tools.

  • Collaborate within cross-functional teams to develop solutions, gain alignment and deliver impactful business insights; engage necessary stakeholders to enable better decision-making.

  • Interpret and communicate analytics results clearly and concisely to audiences with varying backgrounds and degrees of technical understanding.

  • Take an enterprise mindset, linking individual responsibilities with the broader organization; focus on outcomes that provide most business value.

  • Partner with data science experts around the world within Roche to share best-in-class solutions and drive collaborative approaches towards data science challenges.

Who You Are

  • You have a Bachelor's degree in Computer Science, Statistics, Bioinformatics, Mathematics or equivalent field.

  • Master's or PhD degree in Computer Science, Statistics, Bioinformatics, Mathematics or equivalent preferred.

  • You have at least 2 years of commercial/industry experience, working in a hands-on capacity; 4 years preferred.

  • Experience with Statistics, Data Mining, Machine Learning, Data Visualization, Cloud Computing, and Distributed Systems.

  • Hands-on programming experience (Python, R, etc) along with a solid understanding of statistical and machine learning models. You have experience in implementing statistical learning methods or deep learning frameworks to solve problems.

  • Ability to work independently, prioritize within an interdisciplinary environment that includes (data) scientists, analysts, business stakeholders and consultants.

  • Experience with Agile development methods including Scrum and Kanban preferred.

  • Experience with AWS environments preferred.

  • Excellent communication and effective problem-solving skills; track record in serving a variety of diverse customers and projects.

  • Willingness to guide and inspire business stakeholders, data scientists and other colleagues along the journey into the world of data science.

The expected salary range for this position based on the primary location of Indiana is $105,000 - $195,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.

Benefits


Relocation benefits are not available for this job posting.

Who we are

A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.


Let's build a healthier future, together.

Roche is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.



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