2

Remote Data Scientist Machine Learning Jobs in Iowa

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... We work closely with engineering, product, design, data engineering, machine learning operations ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Collaborate with software, data architects, and product managers to design complete software ... Bachelor's degree in Computer Science, Engineering or equivalent combination of education and ...

Collaborate with software, data architects, and product managers to design complete software ... Bachelor's degree in Computer Science, Engineering or equivalent combination of education and ...

Data Scientist 1

Des Moines, IA · On-site +1

$79K - $122K/yr

The Data Scientist will harness the Department's incredible wealth of data to develop analytical ... Researching and implementing techniques and tools in machine learning and artificial intelligence ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

next page

Showing results 1-20

Remote Data Scientist Machine Learning information

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.

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.

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, and why are they important?

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 are the most commonly searched types of Data Scientist Machine Learning jobs in Iowa? The most popular types of Data Scientist Machine Learning jobs in Iowa are:
What are popular job titles related to Remote Data Scientist Machine Learning jobs in Iowa? For Remote Data Scientist Machine Learning jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Remote Data Scientist Machine Learning jobs in Iowa look for? The top searched job categories for Remote Data Scientist Machine Learning jobs in Iowa are:
What cities in Iowa are hiring for Remote Data Scientist Machine Learning jobs? Cities in Iowa with the most Remote Data Scientist Machine Learning job openings:
Senior Applied Machine Learning Scientist

Senior Applied Machine Learning Scientist

Workiva, Inc.

Ames, IA • On-site, Remote

$89K - $122K/yr

Other

Retirement

Posted 26 days ago


Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

1st of 190 rated software companies


Job description

Workiva is seeking a Senior Applied Machine Learning Scientist to join our innovative team. In this role, you will deliver high-quality technology solutions, guide teams through complex challenges, and play a pivotal role in defining the medium-to-long-term technical strategy for impactful ML initiatives. If you excel in solving ambiguous problems, thrive in collaborative environments, and are passionate about applying machine learning to deliver business value, this opportunity is for you.

Join us to tackle cutting-edge challenges and make an impact through innovative machine learning and AI applications.

What You'll Do

  • Own and deliver high-quality AI & ML solutions that drive business impact and align with team objectives

  • Develop and maintain scalable infrastructure and libraries specific to Workiva science

  • Collaborate with stakeholders to define project goals and solve ambiguous, open-ended problems

  • Lead technical initiatives, defining blueprints for complex projects involving cross-functional teams

  • Provide guidance on tradeoffs between thorough technical solutions and applied business value, reducing the time between POC and ROI

  • Mentor and guide team members, fostering a collaborative and high-performing team environment

  • Establish and promote best practices in MLOps, cloud infrastructure, and operational processes as it relates to the model development lifecycle

  • Write, review, and maintain efficient, testable, and adaptable code

  • Proactively optimize existing systems, reducing technical debt and ensuring scalability

  • Contribute to strategic planning for ML-driven initiatives and influence the team's technical direction

  • Champion and evolve the culture of experimentation and measurement, ensuring sound decision making for AI and ML features in product

What You'll Need

Minimum Qualifications

  • Bachelor's degree or Advanced degree (Master's or PhD) in Computer Science, Data Science, or a related field, or equivalent experience

  • 2+ years of professional experience in applied machine learning or AI science

Preferred Qualifications

  • Experience designing, implementing, and deploying ML solutions

  • Expertise in Python, R, or similar programming languages

  • Experience with MLOps practices and cloud platforms (AWS, Azure, GCP)

  • Proficiency in experimentation and measurement

  • Experience leading ML modeling and solution projects, including tuning/training LLM/SLMs

  • Effective problem-solving skills and ability to address complex technical challenges

  • Excellent communication and collaboration abilities across teams

  • Familiarity with TensorFlow, PyTorch, or Scikit-learn

  • Familiarity with statistical libraries (SciPy, Statsmodels, etc.)

  • Knowledge of APIs and integration frameworks for scalable solutions

  • Proven ability to mentor junior team members and establish best practices

  • Experience optimizing systems for efficiency and scalability

  • Strong understanding of customer needs and translating them into actionable ML solutions

  • Excellent problem-solving skills and ability to navigate ambiguous technical challenges

  • Effective communication and collaboration skills with a track record of working across teams

Working Conditions & Travel Requirement

  • Minimal travel required (Up to 10%)

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

How You'll Be Rewarded

Salary range in the US: $141,000.00 - $226,000.00

A discretionary bonus typically paid annually

Restricted Stock Units granted at time of hire

401(k) match and comprehensive employee benefits package

The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors.

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 talentacquisition@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.

#LI-MJ2