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Freelance Data Science Jobs in Indiana (NOW HIRING)

Develop and maintain data integrations using Salesforce Data Cloud, Data Sync, and ETL tools ... Bachelor's degree in Marketing, Business, Computer Science, or a related field. * Experience ...

Freelance Data Science information

See Indiana salary details

$35.7K

$116.8K

$187K

How much do freelance data science jobs pay per year?

As of Sep 8, 2026, the average yearly pay for freelance data science in Indiana is $116,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 per year, depending on experience, location, and employer.

What is a freelance data scientist?

Freelance data scientists are independent professionals who analyze, interpret, and extract insights from data for clients on a project or contract basis, rather than working as full-time employees for a single organization. They leverage skills in statistics, programming, and machine learning to solve business problems, build predictive models, and visualize data. Freelance data scientists often work with multiple clients across various industries, providing flexibility and the ability to specialize in different types of data projects. Their work may include tasks such as data cleaning, exploratory data analysis, algorithm development, and reporting findings to stakeholders.

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

To thrive as a Freelance Data Scientist, you need strong proficiency in statistics, programming (commonly Python or R), and data analysis, often backed by a degree in a quantitative field or relevant certifications. Mastery of tools like Jupyter Notebook, SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and experience with cloud platforms are typically required. Excellent communication, self-motivation, and time management skills set successful freelancers apart by enabling effective client collaboration and project delivery. These abilities ensure you can independently deliver actionable insights and solutions that meet diverse client needs in a competitive market.

What are the most common challenges faced by freelance data scientists when working with clients remotely?

Freelance data scientists often encounter challenges such as unclear project scopes, varying data quality, and communication gaps when collaborating remotely with clients. It's essential to establish clear expectations, maintain regular updates, and set milestones to ensure both parties are aligned throughout the project. Additionally, freelancers may need to adapt to different tools or platforms based on each client's preferences, requiring flexibility and strong self-management skills. Building trust and delivering insights in a clear, actionable manner can help foster long-term client relationships.

What is the difference between Freelance Data Science vs Data Analyst?

AspectFreelance Data ScienceData Analyst
CredentialsTypically requires a degree in data science, statistics, or related fields; certifications like CAP or Microsoft Data AnalystOften requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Data Analyst or Tableau
Work EnvironmentIndependent, project-based, remote or on-siteUsually employed within organizations, working in teams or departments
Employer & Industry UsageFreelance data science projects across various industries like tech, finance, healthcareIn-house roles in industries such as finance, marketing, healthcare, and retail

Freelance Data Science involves independent, project-based work requiring advanced skills in machine learning, programming, and statistical analysis. Data Analysts typically focus on interpreting existing data, creating reports, and visualizations within organizations. While both roles require strong analytical skills, freelance data scientists often handle more complex modeling tasks, whereas data analysts focus on data interpretation and reporting.

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

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

What are popular job titles related to Freelance Data Science jobs in Indiana?

For Freelance Data Science jobs in Indiana, the most frequently searched job titles are:

What cities in Indiana are hiring for Freelance Data Science jobs?

Cities in Indiana with the most Freelance Data Science job openings:

Infographic showing various Freelance Data Science 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 $116,793 per year, or $56.2 per hour.

Marketing Cloud Specialist

Solomon Page

Indianapolis, IN • On-site

$55 - $60/hr

Contractor

Medical, Dental, Retirement

Re-posted 16 days ago


Job description

We're seeking a Salesforce Marketing Cloud professional to serve as a subject matter expert for multi-channel marketing campaigns and customer engagement initiatives. This role will partner closely with stakeholders to design, build, and optimize personalized customer communications across email, SMS, and push notification channels.
  • Pay Range - $55-60/HR ON W2

Responsibilities:
  • Collaborate with stakeholders to translate marketing objectives into scalable Salesforce Marketing Cloud solutions.
  • Design, build, and manage multi-channel campaigns, customer journeys, and marketing automation workflows.
  • Create engaging customer communications across email, SMS, push notifications, and other digital channels.
  • Develop and maintain data integrations using Salesforce Data Cloud, Data Sync, and ETL tools.
  • Utilize AMPscript and SQL to support personalization and audience segmentation.
  • Analyze campaign performance and optimize targeting, engagement, and overall effectiveness.
  • Provide technical support and best-practice guidance for campaign execution and troubleshooting.
  • Partner with marketing, sales, and IT teams to ensure seamless campaign delivery and integration.

Required Qualifications:
  • Bachelor's degree in Marketing, Business, Computer Science, or a related field.
  • Experience working with Salesforce Marketing Cloud in a developer, specialist, or similar capacity.
  • Hands-on experience building and managing multi-channel campaigns, including email, SMS, and push notifications.
  • Strong understanding of marketing automation, customer journeys, and campaign optimization.
  • Experience integrating Salesforce Marketing Cloud with external systems using Data Cloud, Data Sync, or ETL tools.
  • Proficiency in AMPscript and SQL.
  • Strong communication, collaboration, and problem-solving skills.

Preferred Qualifications:
  • Experience with Salesforce Data Cloud.
  • Familiarity with Financial Services Cloud.
  • Knowledge of cloud platforms such as Microsoft Azure or AWS.
  • Salesforce Marketing Cloud Consultant Certification.

If you meet the required qualifications and are interested in this role, please apply today.
The Solomon Page Distinction
Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve.
About Solomon Page
Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook , and LinkedIn .
Opportunity Awaits.
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