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Lead Data Scientist Jobs in Indiana (NOW HIRING)

To achieve this, you will identify needs, lead the design and implementation of analytical ... Identify high-impact data science use cases, develop and implement innovative solutions to drive ...

New

Data Scientist Location: Columbus, IN Duration: 9 weeks Primary Skills: this is a fixed fee project ... Lead implementations with customers, providing status updates, and sharing analytical insights.

Senior Data Scientist

Indianapolis, IN · On-site

$120 - $160/hr

This role develops more autonomy to develop solutions and may lead others, take on administrative ... How you'll create opportunities in this Data Scientist Senior role: * Service Specialization:

As a Director, you will set the strategic direction and lead business development efforts, making ... Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems ...

Project Lead Data Manager

Indianapolis, IN · Hybrid

$49.50 - $67/hr

Project Lead Data Manager As a Project Lead Data Manager, you will serve as a technical authority ... Bachelor's degree (BS) or equivalent in a scientific field, or relevant work experience in animal ...

Lead cross-functional MLOps projects in insurance or financial services * Experience with developing GenAI models with unstructured data * Experience with fostering the culture of data scientist ...

Since 2000, we have partnered with some of the largest healthcare, life sciences, financial ... Data Practice Lead | About You As a Data Practice Lead, you are a strategic and hands-on expert in ...

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Showing results 1-20

Lead Data Scientist information

See Indiana salary details

$43.8K

$157K

$231.7K

How much do lead data scientist jobs pay per year?

As of Aug 14, 2026, the average yearly pay for lead 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 a lead data scientist?

Lead Data Scientists are experienced professionals who oversee data science teams and projects within an organization. They are responsible for designing and implementing advanced analytics models, managing data pipelines, and turning data insights into actionable business strategies. In addition to their technical expertise, Lead Data Scientists collaborate with stakeholders, mentor junior data scientists, and ensure that data-driven solutions align with business goals. Their role often bridges the gap between data science and business decision-making, making them key contributors to an organization's success.

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

To thrive as a Lead Data Scientist, you need advanced expertise in statistics, machine learning, data modeling, and strong programming skills (often in Python or R), typically supported by an advanced degree in a quantitative field. Familiarity with big data platforms (such as Hadoop or Spark), cloud computing tools, and experience with data visualization and version control systems are commonly required. Outstanding leadership, communication, and project management abilities help distinguish top performers in this role. These skills are crucial for designing impactful data solutions, guiding teams, and effectively translating complex analyses into actionable business strategies.

How does a lead data scientist typically balance hands-on technical work with team leadership responsibilities?

A Lead Data Scientist often splits their time between developing advanced data models and guiding team members through project execution. While they remain deeply involved in coding, data exploration, and validation, they also mentor junior staff, oversee project timelines, and ensure alignment with business goals. Balancing these tasks requires strong organizational skills, the ability to delegate, and regular communication with both technical teams and non-technical stakeholders. This dual focus not only drives project success but also supports the professional development of the entire data science team.
Infographic showing various Lead Data Scientist job openings in Indiana as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $157,025 per year, or $75.5 per hour.

Expert Data Scientist

Roche

Indianapolis, IN

$129K - $240K/yr

Full-time

Posted yesterday

New


Roche rating

9.3

Company rating: 9.3 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

3rd of 86 rated pharmaceutical


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 5 years of commercial/industry experience, working in a hands-on capacity.

  • 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 $129,300 - $240,100. 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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