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Remote Data Science Jobs in Billings, MT (NOW HIRING)

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Remote Data Science information

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$22.3K

$99.1K

$189.2K

How much do remote data science jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote data science in Billings, MT is $99,123.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,201.00 and $137,486.00 per year, depending on experience, location, and employer.

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.

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 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.

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.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.

What are popular job titles related to Remote Data Science jobs in Billings, MT?

For Remote Data Science jobs in Billings, MT, the most frequently searched job titles are:

What job categories do people searching Remote Data Science jobs in Billings, MT look for?

The top searched job categories for Remote Data Science jobs in Billings, MT are:

What cities near Billings, MT are hiring for Remote Data Science jobs?

Cities near Billings, MT with the most Remote Data Science job openings:

Infographic showing various Remote Data Science job openings in Billings, MT as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $99,123 per year, or $47.7 per hour.

Spring 2027 Intern - Technology Services Operations

Workiva

Billings, MT • On-site, Remote

$22/hr

Full-time

Retirement

Posted 3 days ago

New


Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 247 rated software companies


Job description

The Technology Services Operations Intern will work on a team that oversees the installation, routine maintenance, upgrades, and daily support of network, server, and storage software. You will assist in the day-to-day operation of Workiva’s systems and constantly look for ways to better meet internal customer needs.

What You'll Do

  • Monitor, maintain, and enhance systems to ensure optimal performance
  • Review system performance consistently, including alerts and notices, and take appropriate action quickly to prevent downtime
  • Install, configure, upgrade, and maintain end-user computing and telecommunication systems
  • Assist the Operations team through various activities, such as facilitating change management meetings, assembling knowledge documents, and helping with operations projects

What You'll Need

Minimum Qualifications

  • Actively pursuing a degree in Computer Science, Management Information Systems, Network Administration, Accounting, or a related field of study

Preferred Qualifications

  • Excellent verbal, written, and interpersonal communication skills
  • Self-motivated with strong propensity for action, results, and continuous improvement
  • The ability to work successfully in a high-energy, fast-paced, rapidly changing environment
  • Exceptional organizational skills with the ability to multi-task and manage multiple processes, programs, and procedures simultaneously while working under pressure to meet deadlines
  • Ability to quickly triage problems, identify root causes, and drive issue resolution
  • Experience with AWS, networks, or servers

Travel Requirements & Working Conditions

  • Minimal travel
  • Reliable internet access for any period of time working remotely and not in a Workiva office

Location: This internship is primarily a remote opportunity. However, if you are located near one of our office hubs, you are welcome to work in a hybrid capacity and utilize our office spaces. Check out our article on Workplace Flexibility to learn more.

When can you expect to hear back?

We are committed to attending all career fairs and recruitment events before closing our positions. That means, this position might be open without updates for a few weeks to give us time to connect with all potential candidates before wrapping up the recruitment season. Check out our tentative timeline below to see when you can expect to hear from us!

Postings close: September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October Offers: Mid to late October

2027 Start Dates:

Our positions have opportunities that start in the Spring. Please see our start dates below and let us know your availability in your application.

Spring 2027 Internships: Monday, January 4, 2027 (15-20 hours per week max)

How You’ll Be Rewarded

Salary range in the US: $22.00 - $22.00 401(k) participation and match Paid sick leave A unique opportunity to further your learning experience through additional internship seasons

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you’ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email earlycareer@workiva.com.

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.


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