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Remote Data Scientist Machine Learning Jobs in Marion, IA

... learning and development opportunities and contribute to the success of a globally expanding ... Investigate and resolve discrepancies in financial data, making necessary corrections and ...

... learning and development opportunities and contribute to the success of a globally expanding ... Investigate and resolve discrepancies in financial data, making necessary corrections and ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Author and review evaluation tasks based on DSURs, PSURs/PBRERs, and associated safety data and ...

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Author and review evaluation tasks based on DSURs, PSURs/PBRERs, and associated safety data and ...

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... Evaluate scientific accuracy in narrative sections such as efficacy, safety summaries, discussion ...

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... Evaluate scientific accuracy in narrative sections such as efficacy, safety summaries, discussion ...

Associate of Science degree in Surveying or equivalent preferred, but not required * Land Surveyor ... station, data collectors) preferred but not required * Experience operating remote sensing ...

Showing results 41-60

Remote Data Scientist Machine Learning information

See Marion, IA salary details

$37.4K

$122.4K

$195.9K

How much do remote data scientist machine learning jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote data scientist machine learning in Marion, IA is $122,371.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,200.00 and $135,600.00 per year, depending on experience, location, and employer.

What does a remote data scientist specializing in machine learning do?

A Remote Data Scientist specializing in Machine Learning uses advanced statistical techniques and programming skills to analyze large datasets and build predictive models, all while working from a remote location. They design, develop, and deploy machine learning algorithms to solve business problems, such as forecasting trends or automating processes. Their work often involves data cleaning, feature engineering, model selection, and collaborating with cross-functional teams to integrate these models into products or services. Remote data scientists typically use tools like Python, R, and cloud-based platforms to perform their tasks efficiently.

How do remote data scientists specializing in machine learning typically collaborate with cross-functional teams?

Remote data scientists in machine learning often work closely with product managers, engineers, and business analysts through virtual meetings, collaborative platforms, and shared documentation tools. They regularly participate in sprint planning, code reviews, and brainstorming sessions to ensure alignment with project goals. Effective communication and proactive updates are essential for overcoming the challenges of remote collaboration and maintaining project momentum. Building strong relationships with team members across different time zones helps foster innovation and ensures that machine learning solutions are well-integrated into broader business objectives.

What are the key skills and qualifications needed to thrive as a remote data scientist specializing in machine learning?

To excel as a Remote Data Scientist in Machine Learning, you need a solid background in statistics, programming (typically Python or R), and a degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as TensorFlow, scikit-learn, PyTorch, and experience with cloud platforms like AWS or Azure are often required, along with relevant certifications. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills for remote collaboration and translating insights for diverse stakeholders. These competencies ensure the development of robust models, clear communication of findings, and successful project delivery in a distributed work environment.

What is the difference between Remote Data Scientist Machine Learning vs Remote Data Scientist?

AspectRemote Data Scientist Machine LearningRemote Data Scientist
Required CredentialsMaster's or PhD in Data Science, Computer Science, or related field; experience with ML frameworksSimilar educational background; may focus more on statistical analysis and data visualization
Work EnvironmentPrimarily involves developing ML models, coding in Python/R, and deploying algorithmsFocuses on data analysis, reporting, and insights generation, often with less emphasis on ML deployment
Employer & Industry UsageUsed in tech, finance, healthcare for predictive modeling and automationCommon across various industries for data analysis and business intelligence

While both roles require strong analytical skills and similar educational backgrounds, Remote Data Scientist Machine Learning specializes in developing and deploying machine learning models, whereas Remote Data Scientist focuses more on data analysis and reporting. The ML role often involves coding and algorithm development, making it more technical in nature.

What are popular job titles related to Remote Data Scientist Machine Learning jobs in Marion, IA?

For Remote Data Scientist Machine Learning jobs in Marion, IA, the most frequently searched job titles are:

Spring 2027 Intern - Sales Development (Account Intelligence)

Workiva

Cedar Rapids, IA • On-site, Remote

$21/hr

Full-time

Retirement

Posted 6 days ago


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

As a Sales Development Intern, you will focus on researching accounts to help identify new business opportunities, using your analytical skills to gather valuable insights and create a strong foundation for Workiva to engage with prospects. You’ll support pipeline growth by collecting and organizing account information for current and potential clients. In our fast-faced, collaborative environment, your ideas are valued, providing a unique opportunity to develop skills in business research and client development.

What You’ll Do

  • Collaborate to build engagement strategies for potential customer and prospect accounts
  • Conduct baseline research to identify key contacts, account information, and potential needs of target clients
  • Support outreach efforts with accurate data and insights, contributing to campaign and engagement strategy
  • Build knowledge of Workiva’s product offerings and understand market dynamics to enhance research quality

What You'll Need

Minimum Qualifications

  • Pursuing a Bachelor’s degree or higher in Business, Sales, Marketing, or a related field of study

Preferred Qualifications

  • Exposure to lead generation or sales development activities
  • Exposure to sales methodologies
  • Experience with Salesforce or similar CRM software
  • Strong ability to analyze and organize data, with attention to detail
  • Excellent verbal, written, and interpersonal communication skills

Travel Requirements and Working Conditions

  • Minimal travel
  • Reliable internet access for any period of time working remotely, 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: Late October

2027 Start Dates:

This position has opportunities to 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)

Summer 2027 Internships: Monday, May 17, 2027 (40/hours per week max)

How You’ll Be Rewarded

Salary range in the US: $21.00 - $21.00 401(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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