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Remote Data Science Jobs in Bloomington, IN (NOW HIRING)

JCD Staffing

UI/UX SME

Crane, IN · On-site +1

$185K/yr

This position can be fully remote , and any required travel would be reimbursed by the government ... Support data science initiatives through visualization, analytics tools, and interface design

Johnson & Johnson

Manager Data Engineering

Mooresville, IN · On-site +1

$113K - $135K/yr

Data Analytics & Computational Sciences Job Sub Function: Data Engineering Job Category: People ... Remote work may also be considered in certain situations. What's in it for you? As a Data ...

Jj

Manager Data Engineering

Mooresville, IN · On-site +1

$113K - $135K/yr

Data Analytics & Computational Sciences Job Sub Function: Data Engineering Job Category: People ... Remote work may also be considered in certain situations. What's in it for you? As a Data ...

SAIC

Data Analyst

Bedford, IN · Remote

None Potential for Remote Work: ORA_ON_SITE Description We are seeking a highly skilled and ... Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a ...

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All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Bloomington, IN

Remote Data Science information

See Bloomington, IN salary details

$21.2K

$94.2K

$179.7K

How much do remote data science jobs pay per year?

As of Jul 30, 2026, the average yearly pay for remote data science in Bloomington, IN is $94,184.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,650.00 and $130,636.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

Can I work remotely in data science?

Yes, data science is a field that often offers remote work opportunities. Many companies hire data scientists to work remotely, requiring skills in programming, data analysis, and tools like Python or R. Remote data science roles typically involve collaboration through online platforms and may require strong communication skills.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Remote data science roles are open to candidates of various ages, and starting a career at 40 is possible with relevant skills in programming, statistics, and machine learning. Many professionals transition into data science later in life by gaining certifications and building portfolios, making age less of a barrier in this field.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

How can I make $100,000 a year working from home?

Remote data scientists can earn $100,000 or more annually by gaining advanced skills in machine learning, programming languages like Python or R, and data visualization tools. Building a strong portfolio, obtaining relevant certifications, and gaining experience in high-demand industries can help achieve this income level while working remotely.
More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Bloomington, IN? The most popular types of Data Science jobs in Bloomington, IN are:
What job categories do people searching Remote Data Science jobs in Bloomington, IN look for? The top searched job categories for Remote Data Science jobs in Bloomington, IN are:
What cities near Bloomington, IN are hiring for Remote Data Science jobs? Cities near Bloomington, IN with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Bloomington, IN as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $94,184 per year, or $45.3 per hour.

UI/UX SME

JCD Staffing

Crane, IN • On-site, Remote

$185K/yr

Full-time

Re-posted 20 days ago

Job description

Computer Engineer, UI/UX and Dashboard Development

We are seeking a senior Computer Engineer IV with strong UI/UX design expertise to support Condition-Based Maintenance Plus initiatives. This role will focus on designing intuitive user interfaces, developing data-driven dashboards, and supporting system and data architecture efforts that enable effective maintenance and operational decision-making.

This position can be fully remote, and any required travel would be reimbursed by the government.

The ideal candidate is a highly collaborative UX/UI professional who can work closely with data engineers, systems engineers, developers, and technical stakeholders to turn complex data and system requirements into usable, user-centered solutions.

Responsibilities

  • Design and develop user interfaces and dashboards for CBM+ systems and data platforms

  • Apply UI/UX best practices to create intuitive, accessible, and user-centered designs

  • Support dashboard development and data visualization efforts for maintenance and operational decision-making

  • Collaborate with data engineers, systems engineers, software developers, and stakeholders to integrate data and system architectures

  • Support data science initiatives through visualization, analytics tools, and interface design

  • Contribute to system and data architecture planning for scalable CBM+ solutions

  • Ensure interfaces are usable, performant, accessible, and aligned with end-user needs

  • Translate complex technical requirements into clear workflows, dashboards, and design concepts

  • Communicate effectively with technical and non-technical stakeholders throughout the design and development process

Required Qualifications

  • Bachelor's degree in Computer Engineering, Computer Science, Human-Computer Interaction, Information Systems, or a related field

  • Active DoD Secret clearance

  • CompTIA Security+ certification at minimum

  • 10+ years of experience in UI/UX design, software engineering, dashboard development, data visualization, or a related technical field

  • Strong background in user interface design, user experience design, and user-centered design practices

  • Experience developing dashboards or data visualization solutions using tools such as Qlik, Power BI, Tableau, or similar platforms

  • Strong understanding of data visualization, interface design, data science concepts, and system architecture

  • Experience supporting complex technical environments

  • Strong communication, collaboration, and stakeholder engagement skills

Preferred Qualifications

  • Experience with Qlik or Qlik Sense

  • Experience supporting Condition-Based Maintenance Plus, predictive maintenance, logistics, aviation, defense, or operational decision-support systems

  • Experience with data architecture, system architecture, or analytics platforms

  • Experience working in DoD, federal, or other regulated environments

  • DoD 8570 Advanced certification such as SecurityX, GCSA, CCSP, or equivalent

  • Experience with wireframing, prototyping, design systems, or tools such as Figma, Adobe XD, Sketch, or similar platforms

Compensation

Target compensation is approximately $185,000, depending on experience, qualifications, and overall fit.