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Freelance Data Scientist 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 Scientist information

See Indiana salary details

$35.7K

$116.8K

$187K

How much do freelance data scientist jobs pay per year?

As of Aug 19, 2026, the average yearly pay for freelance data scientist 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?

A freelance data scientist is an independent professional who offers data analysis, machine learning, and statistical modeling services to various clients on a contract or project basis. Unlike in-house data scientists, freelancers have the flexibility to work with multiple organizations, often remotely, and handle diverse projects. Their responsibilities typically include collecting, cleaning, and analyzing data, building predictive models, and providing actionable insights to help clients make data-driven decisions. Freelance data scientists may work with startups, corporations, or individuals across different industries.

What does a freelance data scientist do?

A freelance data scientist provides data-analytics services to corporate clients or government agencies as an independent contractor. As a freelance data scientist, you may work onsite at client locations or remotely. Your job duties as a freelance data scientist include analyzing big data using statistics and database management software tools. You must identify the correct data sets and variables, validate the data to ensure accuracy, use various forms of data modeling to identify patterns and trends, and finally interpret the data to convey actionable insights.

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

To thrive as a Freelance Data Scientist, you need strong analytical abilities, a solid background in statistics and programming (often with a degree in a related field), and proven experience with data modeling and machine learning. Familiarity with tools like Python, R, SQL, and platforms such as TensorFlow, as well as knowledge of data visualization software, are typically required, along with certifications like Microsoft Certified: Azure Data Scientist or Google Professional Data Engineer. Excellent communication, self-motivation, and project management skills help freelancers effectively collaborate with clients and deliver results independently. These skills are essential for turning complex data into actionable insights and maintaining successful client relationships in a competitive, project-based environment.

How do freelance data scientists typically manage communication and collaboration with clients and remote teams?

Freelance Data Scientists often work with clients and project stakeholders across different locations and time zones, making clear and proactive communication essential. They usually rely on collaboration tools such as Slack, Zoom, and project management platforms like Trello or Asana to stay aligned on project goals and deliverables. Setting clear expectations, providing regular progress updates, and being responsive to feedback are key strategies for maintaining strong professional relationships. Additionally, freelancers may need to adapt their communication style to suit each client's preferences and ensure technical findings are translated into actionable insights for non-technical stakeholders.

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

AspectFreelance Data ScientistData Analyst
Required CredentialsOften requires a degree in data science, statistics, or related fields; certifications like CAP, Microsoft Certified Data AnalystTypically requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentIndependent, project-based, remote or on-siteUsually employed within organizations, but also freelance roles; primarily office or remote
Employer & Industry UsageClients across various industries, including tech, finance, healthcareOrganizations seeking insights from data, across industries

While both roles involve working with data, a Freelance Data Scientist focuses on complex modeling, machine learning, and advanced analytics on a project basis. A Data Analyst typically handles data cleaning, reporting, and visualization within organizations. The choice depends on your expertise level and career goals.

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

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

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

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

Infographic showing various Freelance Data Scientist job openings in Indiana as of August 2026, with employment types broken down into 6% Internship, 69% Full Time, 18% Part Time, and 7% Contract. Highlights an 65% In-person, 9% Hybrid, and 26% Remote job distribution, with an average salary of $116,793 per year, or $56.2 per hour.

Senior Salesforce Marketing Cloud Specialist

Solomon Page

Indianapolis, IN • On-site

$65 - $80/hr

Contractor

Medical, Dental, Retirement

Posted 26 days ago


Job description

We're looking for a Senior Salesforce Marketing Cloud Specialist to join a dynamic Marketing Technology team and help deliver personalized, data-driven customer experiences across digital channels.
  • Pay Range - $65-80/HR ON W2

Responsibilities:
  • Design and execute customer journeys across Email, SMS, and Push Notifications using Salesforce Marketing Cloud.
  • Partner with stakeholders to translate marketing objectives into scalable technical solutions.
  • Build and manage data integrations using Salesforce Data Cloud, Data Sync, and ETL tools.
  • Leverage AMPscript and SQL to create personalized content and audience segmentation.
  • Monitor campaign performance and optimize engagement strategies.
  • Collaborate with cross-functional teams to support key business initiatives.

Required Qualifications:
  • Bachelor's degree in Marketing, Business, Computer Science, or a related field.
  • 5+ years of hands-on experience with Salesforce Marketing Cloud.
  • Experience with Salesforce Data Cloud, including data ingestion, harmonization, and activation.
  • Strong proficiency in AMPscript and SQL.
  • Experience creating and optimizing content across email, SMS, and push notification channels.
  • Strong analytical, problem-solving, and communication skills.

Preferred Qualifications:
  • Salesforce Marketing Cloud Consultant Certification.
  • Salesforce Data Cloud Specialist Certification.
  • Experience with Financial Services Cloud.
  • Knowledge of Microsoft Azure or AWS.

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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