ZipRecruiter

Log In

2

Remote Freelance Data Scientist Jobs in Indiana (NOW HIRING)

Circle

Staff Software Engineer, Data Platform

Austin, IN · On-site +1

These components power our Product, Engineering, Analytics, and Data Science teams by enabling ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

Circle

Staff Software Engineer, Data Platform

Boston, IN · On-site +1

These components power our Product, Engineering, Analytics, and Data Science teams by enabling ... Excellent communication skills, with the ability to collaborate across multiple remote teams, share ...

Welo Data

English AI Maps Trainer

Marion, IN · Remote

$20.30/hr

Freelance · Hourly rate: US$20.30 · Language: English (US) · Location: Remote · Estimated volume: 8 - 10 hours · Start date: The project runs on a weekly basis. Eligible candidates will be added ...

Parcil Safety

Performance Creative Lead

Evansville, IN · Remote

$70K - $80K/yr

Evansville, IN | Remote | Full-Time Reports to: CEO Compensation: $70,000 - $80,000 USD annually ... Use customer behavior, advertising data, and testing results to guide creative decisions. * Develop ...

CSAA

You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... Bachelor's degree required, preferably in Computer Science, Information Systems, or a related ...

previous pagenext page

Showing results 21-40

All JobsData Scientist JobsRemote Freelance Data Scientist JobsRemote Freelance Data Scientist Jobs in Indiana

Remote Freelance Data Scientist information

What is a remote freelance data scientist?

Remote freelance data scientists are professionals who analyze and interpret complex data sets to help organizations make informed decisions, while working independently and from a location of their choice. They are not tied to a single employer, instead taking on projects for various clients on a contract basis. Their responsibilities typically include data cleaning, statistical analysis, machine learning model development, and presenting insights, all performed remotely. This role offers flexibility and the opportunity to work with diverse clients and industries.

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

To thrive as a Remote Freelance Data Scientist, you need strong statistical analysis, machine learning expertise, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Familiarity with data visualization tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Google Cloud), and version control systems (e.g., Git) is highly valuable. Excellent communication, self-motivation, and time management skills help you deliver results and collaborate effectively with clients remotely. These skills and qualities are crucial for independently managing projects, interpreting complex data, and building client trust in a competitive freelance market.

How do remote freelance data scientists typically manage communication and collaboration with clients and team members across different time zones?

Remote Freelance Data Scientists often work with clients and teams located in various regions, making clear and consistent communication essential. They commonly rely on collaboration tools like Slack, Zoom, and project management platforms to share progress, clarify requirements, and provide updates. Setting expectations around response times, scheduling regular check-ins, and documenting work thoroughly help ensure smooth collaboration despite time zone differences. Proactively managing these aspects not only keeps projects on track but also builds trust with clients and colleagues.

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

AspectRemote Freelance Data ScientistRemote Data Analyst
CredentialsTypically requires a degree in data science, statistics, or related fields; certifications like CAP or Microsoft Certified Data Analyst are commonUsually holds a degree in statistics, mathematics, or related areas; certifications like Microsoft Excel or Tableau are common
Work EnvironmentIndependent, project-based, often remote; collaborates with clients or companies on specific data projectsRemote or on-site; works within organizations analyzing data to support decision-making
Employer & Industry UsageFreelance platforms, consulting firms, startups, tech companiesCorporations, finance, healthcare, marketing departments

The main difference is that a Remote Freelance Data Scientist works independently on complex data modeling and machine learning projects, while a Remote Data Analyst focuses on interpreting data through reports and visualizations within organizations. Both roles require strong analytical skills, but the freelance data scientist often handles more advanced modeling tasks.

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

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

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

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

What job categories do people searching Remote Freelance Data Scientist jobs in Indiana look for?

The top searched job categories for Remote Freelance Data Scientist jobs in Indiana are:

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

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

Remote Freelance Data Scientist jobs near you

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Evansville, IN • Remote

$80 - $110/hr

Part-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

Apply