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Remote Manufacturing Data Scientist Jobs in Kansas

Ascend Learning

Sr Data Scientist

Leawood, KS · On-site +1

Remote within the United States HOW YOU'LL SPEND YOUR TIME * Threat Detection & Behavioral Analysis ... Bachelor's degree in Data Science, Statistics, Applied Mathematics, Computer Science, Educational ...

Actalent

Wetland Scientist

Leawood, KS · On-site +1

$73K - $95K/yr

Prepare, organize, and manage data, reports, and tables for submission to clients and regulatory ... Ability to travel extensively and work outdoors in variable weather conditions, often in remote or ...

NinjaOne

Senior Data Engineer | Emerging Products

Kansas, KS · On-site +1

$93K - $127K/yr

... data scientists who depend on it. This is an exciting opportunity to work on greenfield ... Location -- We are flexible on remote working from home, if you are located in the USA and reside ...

NinjaOne

Senior Data Engineer | Emerging Products

Kansas, KS · On-site +1

$93K - $127K/yr

... data scientists who depend on it. This is an exciting opportunity to work on greenfield ... Location -- We are flexible on remote working from home, if you are located in the USA and reside ...

Scopely

... remote basis At Scopely, we care deeply about what we do and want to inspire play, every day ... B.Tech/BS in Computer Science, Statistics, Math, Physics or other quantitative disciplines * 2+ ...

SolvdUS, Inc

Director of Data Engineering

Lenexa, KS · On-site +1

Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent experience * 8+ ... A fully remote work environment with flexibility and autonomy. * The opportunity to grow with a ...

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Remote Manufacturing Data Scientist information

What does a remote manufacturing data scientist do?

A Remote Manufacturing Data Scientist analyzes large sets of manufacturing data to uncover insights, optimize processes, and support decision-making, all while working offsite. They use statistical methods, machine learning, and data visualization tools to identify patterns, predict equipment failures, and recommend improvements for efficiency and quality. Collaborating with engineering and production teams, they help implement data-driven solutions without being physically present at the manufacturing facility. Their work contributes to reducing costs, improving productivity, and ensuring product quality in the manufacturing sector.

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

To thrive as a Remote Manufacturing Data Scientist, you need expertise in data analytics, statistical modeling, and a solid educational background in fields like computer science, engineering, or statistics. Familiarity with programming languages (such as Python or R), machine learning platforms, and manufacturing-specific systems like ERP or MES is typically required. Strong problem-solving skills, attention to detail, and effective remote communication are essential soft skills for collaborating with cross-functional teams. These competencies enable you to extract actionable insights from complex manufacturing data, driving process improvements and operational efficiency from a remote setting.

How does a remote manufacturing data scientist typically collaborate with onsite engineering and production teams?

As a Remote Manufacturing Data Scientist, collaboration with onsite teams is often facilitated through regular virtual meetings, shared dashboards, and collaborative project management tools. You may analyze production data, develop predictive models, and then present insights and recommendations to engineers and plant managers via video calls or detailed reports. Building strong communication skills and familiarity with digital collaboration platforms is essential for bridging the gap between remote analytics and hands-on manufacturing processes. Proactively seeking feedback and clarifying technical requirements with onsite teams ensures your data-driven solutions are both practical and impactful.

What is the difference between Remote Manufacturing Data Scientist vs Remote Manufacturing Engineer?

AspectRemote Manufacturing Data ScientistRemote Manufacturing Engineer
Required CredentialsDegree in Data Science, Statistics, or related field; proficiency in data analysis toolsDegree in Mechanical, Industrial, or Manufacturing Engineering; technical skills in manufacturing processes
Work EnvironmentPrimarily analytical, working with data sets and software tools remotelyFocus on process design, optimization, and technical implementation, often involving remote collaboration
Industry UsageUsed across manufacturing sectors for data-driven decision makingApplied in designing and improving manufacturing systems and processes

The main difference is that a Remote Manufacturing Data Scientist focuses on analyzing manufacturing data to inform decisions, while a Remote Manufacturing Engineer concentrates on designing and optimizing manufacturing processes. Both roles may work remotely and require technical expertise, but their core responsibilities differ significantly.

What are popular job titles related to Remote Manufacturing Data Scientist jobs in Kansas?

For Remote Manufacturing Data Scientist jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Remote Manufacturing Data Scientist jobs in Kansas look for?

The top searched job categories for Remote Manufacturing Data Scientist jobs in Kansas are:

What cities in Kansas are hiring for Remote Manufacturing Data Scientist jobs?

Cities in Kansas with the most Remote Manufacturing Data Scientist job openings:

Remote Manufacturing Data Scientist jobs near you

Sr Data Scientist

Ascend Learning

Leawood, KS • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago

Ascend Learning rating

8.7

Company rating: 8.7 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

11th of 222 rated education and training

Job description

We Impact Lives Through Purpose-Driven Work in A People First Culture
Ascend Learning, a leading healthcare and learning technology company, is the connection between a powerful portfolio of brands serving students, educators, and employers with outcomes-based, data-driven solutions across the lifecycle of learning. From testing to certification, Ascend Learning products are used by physicians, emergency medical professionals, nurses, allied health professionals, certified personal trainers, financial advisors, skilled trades professionals and insurance brokers.
Headquartered in Burlington, MA, with additional office locations and hybrid and remote workers in cities across the U.S., Ascend Learning was recognized by Newsweek and Plant-A Insights Group as one of America's 2025 Greatest Workplaces as well as America's Best Places to work for Mental Well-Being for 2025.
We're always looking for talented, passionate professionals to join us in our mission to help change lives. If this sounds like an environment where you'd thrive, read on to learn more.
WHAT YOU'LL DO
As a Senior Data Scientist in the Data & Business Intelligence org, you'll be the analytical engine behind Ascend Learning's test security function - building the models, reports, and intelligence that empower security analysts and Psychometricians across our portfolio of brands to protect the integrity of every assessment we deliver. You'll leverage a modern data stack (Snowflake, SQL Server, Tableau) and apply statistical modeling and machine learning to surface insights that drive decisions at the highest levels of the organization, working alongside a team of seasoned data professionals who bring deep expertise across the full data lifecycle.
WHERE YOU'LL WORK
  • Remote within the United States

HOW YOU'LL SPEND YOUR TIME
  • Threat Detection & Behavioral Analysis: Design and implement statistical models, anomaly detection algorithms, and machine learning pipelines to identify suspicious test-taking patterns, proxy testing, impersonation, and item exposure across large-scale assessment datasets.
  • Advanced Modeling: Build and maintain predictive and classification models - including logistic regression, clustering, random forest, and NLP-based flagging - to surface security risks and prioritize investigation queues.
  • Executive Communication: Independently prepare and present findings, dashboards, and security briefings to senior leadership - translating complex analytical outputs into clear, actionable narratives.
  • Incident Reporting: Author detailed analytical reports supporting security investigations, including methodology documentation, evidence summaries, and recommended actions.
  • SQL Development: Write and maintain complex Snowflake SQL and T-SQL - stored procedures, views, and optimized queries - across Snowflake and SQL Server environments, integrating data from disparate sources including NoSQL, data lakes, APIs, and external data providers; contributing to EDW Gold layer development for exam security use cases.
  • Tableau Dashboards: Design, build, and maintain Tableau dashboards that surface key security metrics, incident trends, and performance indicators for both operational teams and senior leadership.
  • Cross-Functional Collaboration: Partner with Psychometricians, Data Engineering, IT security, and remote proctoring vendors to align on analytical requirements, data quality standards, and the technology landscape - ensuring security data is accurate, timely, and fit for analysis.
  • Requirements Translation: Convert ambiguous needs from Test Security, IT, Legal, and Operations into well-defined analytical requirements and data specifications, maintaining clear documentation of models and methodologies throughout.

WHAT YOU'LL NEED
  • Bachelor's degree in Data Science, Statistics, Applied Mathematics, Computer Science, Educational Measurement, or a closely related quantitative field. Master's degree preferred in a quantitative discipline; familiarity with psychometric methods; experience with remote proctoring platforms; exposure to Medallion/EDW architectures in Snowflake; background in test security, fraud detection, or behavioral analytics at scale
  • 5+ years of experience in data analysis or data science with demonstrated progression in technical scope and complexity
  • Expert-level SQL across both Snowflake and SQL Server - stored procedures, query optimization, and complex multi-source joins
  • Proven experience building statistical models and applying machine learning techniques such as classification, clustering, and anomaly detection in a production or near-production context
  • Proficiency in Python, R, Snowflake ML for statistical analysis and model development
  • Experience building and publishing Tableau dashboards for operational and executive audiences
  • Demonstrated ability to communicate complex findings clearly and persuasively to non-technical stakeholders, including senior leadership
  • Strong business acumen with the ability to prioritize analytical work by impact and translate ambiguous questions into structured analytical frameworks
  • Proven experience working cross-functionally with engineering, product, and IT teams and engaging with vendor technologies

HIRING RANGE
The current full-time annualized hiring range for this role is $138,200.00-$197,560.00 and does not include discretionary bonus or sales incentives, if applicable. In accordance with applicable state laws, we are providing the expected salary range for this position. Individual compensation will be determined by various factors, including relevant experience, qualifications, current business needs and local market factors. Most regular, full-time employees are eligible to participate in an Ascend incentive bonus or sales plan.
BENEFITS
  • Health, dental, and vision insurance
  • Company paid Life Insurance
  • 401(k) with company match
  • Paid time off and parental leave
  • Employee assistance program
  • Other employee wellness programs such as Headspace and Airvet
  • Charitable matching program

Fostering A Sense of Belonging
Our values-driven culture unifies our teams and inspires a mindset of action, innovation, and collaboration, with a relentless focus on customers. We seek out and celebrate all people and perspectives and cultivate an inclusive culture where everyone can thrive, feel valued, and be authentic. Our culture is firmly rooted in the belief that by embracing our differences and drawing on diverse perspectives, we are a stronger, more innovative, and more successful organization where employees experience a sense of belonging.
Ascend Learning, LLC is proud to be an equal opportunity employer (M/F/Vets/Disabled). No agency or search firm submissions will be accepted. Applications for U.S.-based positions with Ascend Learning, LLC must be legally authorized to work in the United States, and verification of employment eligibility will be required at the time of hire.

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