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Manager Data Scientist Jobs in Indiana (NOW HIRING)

Associate Data Scientist

Fort Wayne, IN ยท On-site

$58K - $58K/yr

Associate Data Scientist FLSA Status: Exempt Job Family: Research & Development Department ... Effectively interface with external contacts, Brotherhood employees, managers, and department staff ...

Data Scientist Senior Location: Ideal candidates will be able to report to our Pulse Point location ... Respond to and manage ad hoc client requests to ensure accurate, in-depth results/data are ...

Data Scientist Senior Location: This role requires associates to be in-office 1 day per week ... Experience managing a small team either through formal or informal reporting relationship preferred.

Senior Data Scientist

Columbus, IN ยท On-site

$80K - $90K/yr

Senior Data Scientist Location: (Remote / Hybrid / On-site - City, Country) Columbus, IN Employment ... management (AWS, GCP, Azure). โ€ข Strong understanding of data architecture, data modeling, and ...

While it does not include direct people management, it requires strong technical modeling skills, ownership of regulatory filings and objections, and mentorship of junior data scientists and analysts.

While it does not include direct people management, it requires strong technical modeling skills, ownership of regulatory filings and objections, and mentorship of junior data scientists and analysts.

While it does not include direct people management, it requires strong technical modeling skills, ownership of regulatory filings and objections, and mentorship of junior data scientists and analysts.

Showing results 21-40

Manager Data Scientist information

What is a manager data scientist?

Manager Data Scientists are professionals who oversee data science teams and projects within an organization. They combine advanced analytical skills with leadership abilities to guide data scientists, set project priorities, and ensure data-driven strategies align with business goals. In addition to technical expertise in data modeling, machine learning, and analytics, they are responsible for mentoring team members, managing resources, and communicating insights to stakeholders. Their role bridges the gap between technical execution and strategic decision-making.

What are the key skills and qualifications needed to thrive as a manager data scientist?

To thrive as a Manager Data Scientist, you need expertise in statistical analysis, machine learning, data modeling, and a relevant degree such as in computer science, mathematics, or statistics. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and experience with data visualization software and project management methodologies are commonly required. Strong leadership, effective communication, and the ability to mentor and guide teams are vital soft skills in this role. These competencies ensure successful project delivery, drive data-driven business decisions, and foster a productive, innovative team environment.

How does a manager data scientist typically collaborate with cross-functional teams to drive business outcomes?

As a Manager Data Scientist, you will work closely with teams such as engineering, product management, and business stakeholders to ensure data-driven solutions align with company goals. This collaboration often involves translating complex analytical findings into actionable insights, setting project priorities, and managing expectations. You will also facilitate communication between data scientists and non-technical teams to foster understanding and ensure successful project delivery. Building strong relationships and promoting a culture of data-driven decision-making are essential aspects of the role.

What is the difference between Manager Data Scientist vs Data Scientist?

AspectManager Data ScientistData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareFound across industries, entry to mid-level roles

The main difference is that a Manager Data Scientist oversees data teams and projects, focusing on leadership and strategic planning, while a Data Scientist primarily conducts data analysis and model development. The manager role involves more coordination, mentorship, and stakeholder communication, whereas the data scientist role emphasizes technical skills and hands-on analysis.

What are the most commonly searched types of Data Scientist jobs in Indiana?

The most popular types of Data Scientist jobs in Indiana are:

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

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

Infographic showing various Manager Data Scientist job openings in Indiana as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution.

Data Scientist -Indianapolis, IN

Indianapolis, IN โ€ข On-site

Georgia IT, Inc.
IT Servicesย โ€ขย 51 - 200 employees

Full-time

Re-posted 1 hour ago


Job description

Job Summary:
Georgia IT, Inc. is seeking a Data Scientist to develop and prototype machine learning solutions in collaboration with R&D scientists. The role involves designing scalable data pipelines, deploying data products, and communicating insights to facilitate data-driven decisions.
Responsibilities:
โ€ข Partner with R&D scientists to develop and prototype rigorous machine learning solutions aligned to project needs.
โ€ข Design and implement scalable data pipelines for processing high-complexity datasets such as high-throughput bioassays or large-scale agriculture datasets.
โ€ข Partner with data scientists, data engineers, and production teams to deploy and maintain data products at scale.
โ€ข Communicate and train research partners on models and products to facilitate data-driven decisions.
โ€ข Communicate insights derived from complex data analysis into simple conclusions that empower leadership to drive action; communicate results in internal and external forums; and contribute to scientific articles as needed.
โ€ข Steward data product life cycle and partner with other scientists to continuously improve underlying models and optimize data architecture.
โ€ข Stay abreast of emerging technologies in big data, machine learning, and agriculture tech and advocate for their adoption where beneficial.
Qualifications:
Required:
โ€ข 7-8 Years of strong expertise in R or Python programming languages and their application to data wrangling, machine learning (e.g., TensorFlow, PyTorch), and data visualization
โ€ข Experience and fundamental understanding of machine learning techniques (e.g., logistic regression, random forest, XGBoost, SVMs, K-means, neural networks)
โ€ข Solid understanding of variable selection; dimensionality reduction; model diagnostics; and model training, testing, and validation
โ€ข Experience deploying machine learning models in production (e.g., CI/CD pipeline development; containerization using tools such as docker, podman, or Kubernetes; Git)
โ€ข Ability to work both independently and within a multidisciplinary team environment to provide innovative solutions
โ€ข Ability to successfully collaborate with colleagues from diverse technical backgrounds which includes excellent communication, interpersonal, verbal, and written skills
โ€ข Strong critical thinking and problem-solving skills, flexibility, and willingness to learn
Preferred:
โ€ข Familiarity with modeling biological, cellular, or ecological data; molecular biology or biochemistry concepts; or data science in agriculture
โ€ข Proven experience as a machine learning engineering or similar role with a strong focus on machine learning deployment and data pipeline construction
โ€ข Familiarity with artificial intelligence or generative AI techniques
โ€ข Experience in big data technologies (e.g., Hadoop, Spark) and database management systems (e.g., SQL, NoSQL)
โ€ข Experience with AWS
โ€ข Experience consulting on scientific projects or working within a scientific team
Company:
Georgia IT, Inc. provides IT Consulting for a wide range of IT services and custom build turn-key enterprise solutions. Founded in 2007, the company is headquartered in Alpharetta, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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About Georgia IT

Sourced by ZipRecruiter

A PROFESSIONAL SERVICES ORGANIZATION WITH A VISION OF DELIVERING SIMPLE AFFORDABLE, SUSTAINABLE SOLUTIONS FOR COMPLEX PROBLEMS WITH INTEGRITY. OUR GOAL IS TO ACHIEVE ALL THIS IN A COLLABRATIVE APPROACH WITH ALL PARTIES INVOLVED IN DELIVERING SOLUTIONS/PRODUCTS.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Alpharetta, GA, US

Year founded

2007

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