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Machine Learning Part Time Jobs in Indiana (NOW HIRING)

... and machine learning techniques to support predictive analytics, anomaly detection, and trend ... Our 401(k) program offers full, part-time and temporary employees the opportunity to contribute ...

Education benefit available to full- and part-time Smithfield team members upon meeting eligibility ... Machine Operator positions are physically demanding and require good hand-eye coordination, and ...

... to learning, collaboration, and innovation, Smithfield offers challenging and rewarding careers ... The Value You'll BringAs a Machine Operator team member at Smithfield Foods, you'll play a key role ...

... to learning, collaboration, and innovation, Smithfield offers challenging and rewarding careers ... Machine Operator positions are physically demanding and require good hand-eye coordination, and ...

Service Intern - High School

Angola, IN · On-site

$14 - $18.75/hr

Purpose Selected students will get part-time on-the-job experience at one of our locations while ... Show an interest in learning methods, materials, tools, and techniques used in the repair of ...

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Machine Learning Part Time information

See Indiana salary details

$24.3K

$40.5K

$83.7K

How much do machine learning part time jobs pay per year?

As of Jul 8, 2026, the average yearly pay for machine learning part time in Indiana is $40,521.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,900.00 and $43,800.00 per year, depending on experience, location, and employer.

What is a Machine Learning Part Time job?

A Machine Learning Part Time job is a role where individuals work on ML-related tasks with a flexible or reduced schedule. These roles can involve data preprocessing, model development, evaluation, or deployment, depending on the organization's needs. Part-time positions are often suitable for students, freelancers, or professionals looking to gain experience while managing other commitments. They may be remote or on-site and can vary in duration and workload.

What are the key skills and qualifications needed to thrive in the Machine Learning Part Time position, and why are they important?

To thrive as a Machine Learning Part Time professional, you need a strong foundation in statistics, programming (often Python or R), and knowledge of core machine learning algorithms, typically demonstrated through a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, Scikit-learn, or PyTorch and experience with data preprocessing tools or cloud platforms are commonly expected, and certifications like TensorFlow Developer can be beneficial. Effective communication, time management, and the ability to work independently are key soft skills for success in this role. These competencies enable you to efficiently contribute to projects, solve complex problems, and collaborate remotely or in hybrid team environments.

What are the typical responsibilities and expectations for a part-time machine learning role?

In a part-time machine learning position, you are generally expected to assist with data preprocessing, model development, and analysis of project results under the guidance of a senior data scientist or engineer. Your tasks might include cleaning datasets, coding algorithms, running experiments, and preparing reports or presentations for team meetings. The work is often project-based and requires regular communication with team members to ensure alignment on objectives and deliverables. This structure allows you to gain hands-on experience with real-world datasets and industry tools while maintaining a flexible schedule, making it ideal for students or professionals transitioning into the field.

What are the most commonly searched types of Machine Learning jobs in Indiana? The most popular types of Machine Learning jobs in Indiana are:
What are popular job titles related to Machine Learning Part Time jobs in Indiana? For Machine Learning Part Time jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Machine Learning Part Time jobs in Indiana look for? The top searched job categories for Machine Learning Part Time jobs in Indiana are:
Infographic showing various Machine Learning Part Time job openings in Indiana as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $40,521 per year, or $19.5 per hour.
People Analytics Analyst

People Analytics Analyst

TEGNA Inc.

Indianapolis, IN • On-site

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


TEGNA rating

6.7

Company rating: 6.7 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

50th of 67 rated media


Job description

About TEGNA
TEGNA Inc. (NYSE: TGNA) helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across the web, mobile apps, streaming, and linear television. Together, we are building a sustainable future for local news.
We are seeking a curious, analytical, and forward-thinking People Analytics Analyst to join our HR Operations & Technology team. This role blends people analytics, business intelligence, data automation, and emerging AI capabilities to help leaders make data-driven workforce decisions.
The ideal candidate is technically skilled and experienced in building dashboards, automating data processes, and transforming complex data into actionable insights. You will partner closely with HR, Finance, and business leaders to define key workforce metrics, identify trends, and deliver analytics that drive strategic decision-making.
You will work with tools including Power BI, Snowflake, Python, APIs, and AI-driven analytics solutions to build scalable reporting and insights capabilities.
This is a hybrid position based in our Indianapolis office (WTHR), with an in-office presence required three days per week.
Responsibilities:
• Analyze workforce data to identify trends, patterns, and opportunities related to hiring, retention, engagement, compensation, and organizational effectiveness.
• Define, document, and standardize key people metrics and reporting methodologies across the organization.
• Design, develop, and maintain interactive dashboards and reports using Power BI and other visualization tools; use APIs to automate and connect data sources.
• Collaborate with HR and business stakeholders to understand reporting needs, translate them into scalable analytics solutions, and clearly communicate insights and recommendations in a concise, actionable way.
• Develop automated data pipelines and workflows to improve reporting efficiency and data accuracy.
• Integrate and manage data from multiple sources using APIs, data connectors, and automation tools.
• Leverage AI and machine learning techniques to support predictive analytics, anomaly detection, and trend analysis.
• Ensure data quality, consistency, and governance across people-related data sources.
Qualifications:
• 3+ years of experience in data science, business intelligence or a related field.
• Experience working with HR, workforce, or people-related data.
• Strong proficiency with Power BI, including dashboard development, data modeling, and visualization best practices.
• Advanced Excel skills for data analysis and reporting.
• Experience with Python, R, or another scripting language for data analysis and automation.
• Experience working with APIs and data integrations
• Familiarity with HR technology platforms such as UKG Pro, Greenhouse, ServiceNow, or similar systems.
• Experience with Snowflake or other cloud-based data platforms.
• Exposure to statistical analysis, predictive modeling, or machine learning techniques.
Benefits:
TEGNA offers comprehensive benefits designed to safeguard the physical, mental and financial health of our employees and their families. TEGNA offers two medical plan options for full and part-time employees through Blue Cross Blue Shield of Texas, as well as access to dental and eye care coverage; fertility, surrogacy and adoption assistance; disability and life insurance.
Our 401(k) program offers full, part-time and temporary employees the opportunity to contribute 1% - 80% of their pay on a pre-tax basis to TEGNA's 401(k). Contributions made up to the first 4% of pay are eligible for a 100% match from the company and are 100% vested from day one.
Regardless of participation in TEGNA medical plans, ALL employees and their eligible family members receive nine free virtual doctor's appointments with a physician through Teladoc, and 12 free annual therapy sessions with a licensed clinician through Spring Health.
TEGNA offers a generous Paid Time Off (PTO) benefit as well as nine paid holidays per year.
* Some jobs are covered by a collective bargaining agreement and thus some or all of the benefits described herein may not apply. For example, some newsroom bargaining unit employees receive health and retirement benefits under plans administered by the union.
EEO statement:
TEGNA Inc. is a proud equal opportunity employer. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. We value and consider applications from all qualified candidates without regard to actual or perceived race, color, religion, national origin, sex, gender, age, marital status, personal appearance, sexual orientation, gender identity or expression, family responsibilities, disability, medical condition, enrollment in college or vocational school, political affiliation, military or veteran status, citizenship status, genetic information, or any other basis protected by federal, state or local law. TEGNA will reasonably accommodate qualified individuals with disabilities in accordance with applicable law. If you are in need of an accommodation in order to submit your application, please email askhr@tegna.com
Recruiting Fraud Alert:To all candidates: your personal information and online safety are important to us. Only TEGNA Recruiters or Hiring Managers will reach out to you regarding consideration of your application or background. Communications with TEGNA employees will either come from a TEGNA email address with a domain of tegna.com or one of our affiliate station domains.
Recruiters or Hiring Managers will never request payments, ask for financial account information or sensitive information such as social security numbers.
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