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Remote Data Science Mentor Jobs in Kansas (NOW HIRING)

Sr Data & AI Scientist

Leawood, KS · On-site +1

$151K - $215K/yr

... data science and AI solutions. WHERE YOU'LL WORK * You will work a hybrid schedule from our Leawood, KS or will consider remote within the United States HOW YOU'LL SPEND YOUR TIME * Implement ...

Mentor ML engineers on scientific methodology and domain reasoning Skills & Experience * 8+ years of applied research or data science experience in wildfire science, fire ecology, forestry, remote ...

Senior Data Engineer

Kansas, KS · On-site +1

$93K - $127K/yr

... science across NinjaOne's expanding product offering. You'll build the pipelines and data ... Location -- We are flexible on remote working from home, if you are located in the USA and reside ...

... Data Science Platform Engineering Team. You will be a key leader, responsible for designing ... Actively mentor engineers, conducting technical workshops, leading design reviews, and ...

$98K - $118K/yr

Education BS in Computer Science and a minimum of five years of experience delivering production ... Environment US/LatAm-based remote working within PT/ET time zones with the potential for occasional ...

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... 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+ ...

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 ...

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 ...

Mentor and provide technical guidance to IC 1/IC 2 Governance Analysts on classification, metadata ... Bachelor's degree in Information Management, Data Science, Library & Information Science, Computer ...

We interact with several downstream services and stakeholders, including Bidding, Data Science, and ... StackAdapt is a Remote First company; we are open to candidates located anywhere in Canada or the ...

... mentoring other engineers Nice To Have * Background in wildfire science, forestry, or remote ... Experience in model interpretability and data provenance for environmental ML systems * Experience ...

$108K - $143K/yr

You'll partner closely with Engineering, Design, Creative Studio, Data Science, and Revenue to translate a bold vision into products advertisers love. StackAdapt is a remote first company. This role ...

AVP, Strategic Analysts

Home, KS · Remote

$80K - $99K/yr

Additionally, you will mentor offshore resources and work closely with stakeholders to improve Arch ... Computer Science, Engineering, Data Analytics, or equivalentexperience #LI-LH1 #LI-REMOTE For ...

AVP, Strategic Analysts

Home, KS · Remote

$80K - $99K/yr

Additionally, you will mentor offshore resources and work closely with stakeholders to improve Arch ... Computer Science, Engineering, Data Analytics, or equivalentexperience #LI-LH1 #LI-REMOTE For ...

Senior Data Architect

Topeka, KS · On-site +1

$63.25 - $84.75/hr

Mentor Data Architects (IC2) and provide architectural guidance to Data Engineers What We're Looking For: * Bachelor's degree in Computer Science, Information Systems, Data Management, or related ...

$61K - $79K/yr

... Data Science, and other engineering teams to align requirements, priorities, and definitions of done * Act as a technical mentor and force multiplier across the QE org, promoting QE best practices ...

Agrohydrological Modeler

Lawrence, KS · On-site +1

$75K - $80K/yr

Design and implement field-based data collection approaches where necessary. Develop research ... Communicate the results of research in peer-reviewed publications and to both scientific and lay ...

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Showing results 1-20

Remote Data Science Mentor information

What is the difference between Remote Data Science Mentor vs Data Scientist?

AspectRemote Data Science MentorData Scientist
Required CredentialsTypically requires expertise in data science, mentoring experience, and often certifications in data analysis or related fieldsRequires a degree in data science, statistics, computer science, or related fields; certifications are a plus
Work EnvironmentRemote, often freelance or part-time, focused on guiding learners and menteesCan be remote or on-site, involved in analyzing data, building models, and deploying solutions
Employer & Industry UsageUsed by online education platforms, bootcamps, and freelance mentoring servicesEmployed by tech companies, finance, healthcare, and research organizations

The main difference is that a Remote Data Science Mentor primarily provides guidance and mentorship to learners, while a Data Scientist actively analyzes data and develops models within organizations. Mentors focus on education, whereas Data Scientists focus on applying data skills to solve business problems.

What are the most commonly searched types of Data Science Mentor jobs in Kansas?

The most popular types of Data Science Mentor jobs in Kansas are:

What are popular job titles related to Remote Data Science Mentor jobs in Kansas?

For Remote Data Science Mentor jobs in Kansas, the most frequently searched job titles are:

What cities in Kansas are hiring for Remote Data Science Mentor jobs?

Cities in Kansas with the most Remote Data Science Mentor job openings:

Infographic showing various Remote Data Science Mentor job openings in Kansas as of June 2026, with employment types broken down into 1% As Needed, 74% Full Time, 18% Part Time, and 7% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Sr Data & AI Scientist

Ascend Learning

Leawood, KS • On-site, Remote

$151K - $215K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 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 223 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
The Senior Data and AI Scientist leads strategic data science and AI initiatives across Ascend Learning, driving AI adoption and improving enterprise data readiness for AI and machine learning use cases. This role designs and implements advanced analytical and AI/LLM-based solutions - including generative AI and conversational data-access tools - that span multiple business functions, translating complex business needs into scalable, high-value data science and AI solutions.
WHERE YOU'LL WORK
  • You will work a hybrid schedule from our Leawood, KS or will consider remote within the United States

HOW YOU'LL SPEND YOUR TIME
  • Implement enterprise data AI strategy to drive data-readiness, and enable AI adoption: identify and evaluate opportunities to apply artificial intelligence and generative AI data analytics across the organization, and assess and improve the quality, structure, and governance of enterprise data so it is fit for AI and machine learning use.
  • Design and build large language model-based tools and interfaces (e.g., Claude) that let business users and internal platforms query and act on organizational data using natural language, increasing AI adoption and self-service access to data-driven insights.
  • Design, build, and refresh machine learning and AI models: conduct experiments and proof-of-concept research, prepare data, and develop the underlying data models and databases needed to support new and existing business initiatives, applying disciplined engineering practices such as version control, automated testing, and documentation to ensure reliable, reproducible solutions.
  • Convert business questions into analytical solutions: translate business needs into clearly defined analytics problem statements, interpret results using techniques ranging from simple data aggregation to complex data mining, and apply data science methods to support functions such as sales targeting, so business partners can make informed, data-driven decisions.
  • Partner with leadership and technical teams across the organization: collaborate with Engineering, Data, and Operations teams to embed data science and AI capabilities into products and workflows, and work directly with business leaders and end-users from concept through delivery to understand business trends, needs, and problems.

WHAT YOU'LL NEED
Education & Years of Experience
  • Master's degree in Statistics, Data Science, Computer Science, Mathematics, Operations Research, or a similar quantitative field.
  • A minimum of 7 years' experience working on data science, machine learning, and artificial intelligence projects in industry, with a strong and growing emphasis on applied AI and generative AI/large language model-based solutions.

Key Skills and Abilities/Qualifications
  • Deep, hands-on technical expertise across the full data science and applied AI stack.
  • Advanced proficiency with data science toolkits (e.g., Python NumPy, SciPy, Scikit-learn, TensorFlow, R, Spark ML, Azure ML), programming and scripting for reproducible analysis, and building classification, regression, clustering, and deep learning models.
  • Specialized knowledge of generative AI and large language model tooling and frameworks (e.g., retrieval-augmented generation, prompt engineering, vector embeddings), and hands-on experience defining semantic models and metadata within Snowflake so enterprise data is reliably consumable by both business users and AI systems.
  • Strong applied statistics skills, experience with both relational and NoSQL databases, and familiarity with data visualization tools.
  • Judgment to translate ambiguous business requirements into well-defined, high-value solutions.
  • Ability to do minimal travel, less than 10%.

HIRING RANGE
The current full-time, annualized base pay hiring range for this role is $151,000.00-$215,930.00. In accordance with applicable state laws, we are providing the expected pay 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 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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