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Lead Data Scientist Jobs in Indiana (NOW HIRING)

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.

Data Scientist Senior Location: This role requires associates to be in-office 1 day per week ... Designs and lead predictive modeling projects to address more complex business problems determined ...

Lead end-to-end data science initiatives - from problem definition and data exploration to deployment of scalable, production-grade solutions. * Apply advanced modeling techniques, including machine ...

Data Scientist Location: This role requires associates to be in-office 1 day per week, fostering ... lead to innovative solutions. * Develops sophisticated visualization of analysis output for ...

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 ...

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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 Jul 28, 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 are Lead Data Scientists?

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 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. Lead Data Scientists often use this concept to prioritize data analysis and model development by focusing on the most impactful variables or tasks.

Is 40 too late for data science?

The Lead Data Scientist role does not have an age limit, and many professionals transition into data science later in their careers. Success depends on skills, experience, and continuous learning in areas like programming, statistics, and machine learning, regardless of age.

What does a lead data scientist do?

A lead data scientist oversees data analysis projects, develops models, and guides a team of data scientists to extract insights from data. They often use tools like Python or R, and require strong statistical, programming, and leadership skills to inform business decisions.

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.

What is the salary of a lead data scientist?

The salary of a lead data scientist typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles may include bonuses, stock options, and other benefits, and strong skills in machine learning, statistical analysis, and programming are often required.
Infographic showing various Lead Data Scientist job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $157,025 per year, or $75.5 per hour.
Data Scientist

Other

Posted 15 days ago


Job description

Company Description

USM Business Systems Inc. is a quickly developing worldwide System Integrator, Software and Product Development, IT Outsourcing and Technology assistance supplier headquartered in Chantilly, VA. We offer world-class ability in giving most astounding quality and administrations through industry best practices planned to convey remarkable worth to our customers. 

Utilizing our industry knowledge, administration service offering expertise and innovation abilities, we distinguish new business and innovation slants and create answers for help customers around the globe, giving top of the line solid and practical IT benefits which are cost effective services. 

Established in 1999, the organization has corner qualities in building and dealing with a Business Oriented IT environment with rich involvement in technology innovation, ERP and CRM counselling, Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and administrations in ERP, CRM, Enterprise architecture, offshore advisory services and e-commerce. 

USM, a US ensured Minority Business Enterprise (MBE) is perceived as one of the fastest developing IT Systems Integrator in the Washington, DC zone. Most as of late, USM was positioned #9 on the rundown of the Top administrations organizations in the DC Metro Area - Washington Business Journal (2011). We are a project-driven firm that reliably meets the IT needs of our State and Government customers through development and business keenness.

Job Description

Hi professional,

Hope you are doing great...

USM Business Systems Inc is a highly recognized provider of professional IT Consulting services in the US.

I have an exciting new opportunity that I wanted to share with you and your network. Our client, is currently seeking a Professional to join their organization. I have included a complete job description below in case you or someone you know might be interested in learning more.


Job Title: Data Scientist 

Location: Columbus, IN

Duration: 9 weeks

Primary Skills: this is a fixed fee project for the duration of 9 weeks 

Required skills:

Responsibilities: Understand our customer's most urgent questions, working, under limited supervision, with internal and external teams to understand requirements and develop proposals to respond to those requirements.

  Apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights to prospects and customers based on large-scale data.

  Following initial high-level guidance, perform end-to-end steps involved in model development. These include preliminary data exploration and data preparation steps, variable/algorithm selection and model development/validation and scoring.

  With guidance, develop and test algorithms' efficacy (i.e., by applying to test/sampled data and assessing accuracy/fit/predictive strength) for differing analytical use-cases.

  Deliver results and presentations in a timely manner. 

Lead implementations with customers, providing status updates, and sharing analytical insights.

  Collaborate with Company's Sales teams to educate prospects and customers on Company's analytics offerings. Participate in pre-sales discussions by presenting on analytics service offering and technology stack. Skills/Experience 

5+ years of experience with customer-facing activities including requirements gathering, expectations and project management.

  5+ years of experience designing, implementing, and deploying statistical models and data mining techniques for Predictive Analytics. 

5+ years of experience developing Advanced Analytics using, for example, Linear Regression, Logistic Regression, GLM, GAM, PCA, ANOVA, CART, Association Rules, Clustering, Neuron Nets, Survival Analysis, Text Mining, and Time Series methods. (Must have.) 

Intimacy dealing with data preparation: integration, cleansing, imputation, transformation and variable selection. (Must have.)

  Experience creating data visualizations to present findings and results of analyses.

  Dashboard and report design, including documentation.

  Proficiency in SQL and R, Python, SAS Enterprise Miner, SPSS, Stata, Matlab, Minitab, or JMP. (Must have.) 

Experience with Perl, AWK, shell scripting, and C/C++.

  Domain knowledge in at least three industries, ideally Finance, Health Care, and Telecommunications.

  Overall knowledge of Business Intelligence; in particular, data modeling, ETL, and reporting tools.

  Excellent verbal/written communication. Excellent interpersonal skills.

  Education Requirements 

MINIMUM MSc in Statistics, Mathematics, Computer Science; PhD preferred.

this is a fixed fee project for the duration of 9 weeks.

Thanks & Regards!

Parthu Srinivas

IT Recruiter | 703-794-2380          

srinivasr@usmsystems(dot)com

Additional Information

If my requirement matches your resume, then please do reply on my email id srinivasr(at)usmsystems(dot)com or can give a call on 703-794-2380.