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Senior Computer Data Scientist Jobs in Kansas (NOW HIRING)

Bachelor's degree in Data Science, Statistics, Applied Mathematics, Computer Science, Educational ... senior leadership * Strong business acumen with the ability to prioritize analytical work by impact ...

Senior Data Scientist What you will do Let's do this! Let's change the world! In this vital role you will be responsible for developing, maintaining, and deploying first principles and/or machine ...

Data Scientist REPORTS TO : Director of Analytics WHO WE ARE: WHO WE ARE: Nuvative is a parent ... Responding with urgency to high priority requests from senior business leaders. * Take initiative ...

Provide mentorship and share best practices with junior team members under the guidance of senior ... Bachelor's Degree in Computer Science, Electrical Engineering, Computer Engineering, Software ...

The Data Scientist is responsible for turning unstructured healthcare data into standardized ... Must be able to sit and view a computer screen for extended periods of time #LI-TC1 #LI-Onsite ...

The Data Scientist is responsible for turning unstructured healthcare data into standardized ... Must be able to sit and view a computer screen for extended periods of time #LI-TC1 #LI-Onsite ...

$159K - $285K/yr

The Senior Principal Data Scientist will report to Director of Growth and Data Science in the Experience Foundations organization. This is a founding data science role for our agentic product ...

The Data Scientist role focuses on turning clinical conversations into accurate, useful ... Must be able to sit and view a computer screen for extended periods of time #LI-TC1 #LI-Onsite ...

The Data Scientist role focuses on turning clinical conversations into accurate, useful ... Must be able to sit and view a computer screen for extended periods of time #LI-TC1 #LI-Onsite ...

Bachelor's degree in Mathematics, Science, Engineering, Computer Science, Data Science, Statistics, or a related field. * 4 to 10 years of related work experience and/or training, or an equivalent ...

The Sr. CAD Survey Technician works with various members of the surveying project team to deliver ... Our team of dedicated professionals utilize the latest technologies to ensure accurate data ...

Positions such as Lead Field Survey Technician, Sr. CAD Engineering Tech and Project Surveyor may ... Prepares construction staking data for field crews using complex construction plan sets * Creates ...

Senior Data Engineer

Overland Park, KS · On-site

$104K - $142K/yr

... a Senior Level Data Engineer to join their Data Services Team. The right candidate will utilize ... Bachelor's degree in computer science, data science or related technical field, or equivalent ...

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Senior Computer Data Scientist information

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Lead Data Scientist, Chief Data Officer, or Machine Learning Director, with salaries exceeding $150,000 annually. These roles typically require advanced skills in machine learning, big data tools, and leadership experience. Compensation varies based on industry, location, and company size.

Is 40 too late for data science?

Age is not a barrier to becoming a senior computer data scientist, as the field values skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and machine learning tools. Success depends on your ability to adapt and build a strong portfolio of projects and certifications regardless of age.

What is the difference between Senior Computer Data Scientist vs Data Analyst?

AspectSenior Computer Data ScientistData Analyst
Required CredentialsBachelor's/Master's/PhD in Computer Science, Data Science, or related fields; experience with programming, machine learningBachelor's degree in Statistics, Mathematics, or related fields; proficiency in data visualization and basic analytics
Work EnvironmentDevelops models, algorithms, and advanced analytics; often in R&D or data science teamsPrepares reports, visualizations, and interprets data for business decisions
Employer & Industry UsageTech companies, finance, healthcare, and large enterprises with complex data needsRetail, marketing, finance, and smaller organizations focusing on data reporting

While both roles analyze data, Senior Computer Data Scientists focus on building advanced models and algorithms, requiring deeper technical expertise. Data Analysts primarily interpret and visualize data for business insights. The roles often overlap in data handling but differ in complexity and technical depth.

How much does a senior data scientist earn?

A senior data scientist typically earns between $100,000 and $150,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, programming, and data analysis tools can influence salary levels.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data subsets, or models to improve efficiency and outcomes.
What cities in Kansas are hiring for Senior Computer Data Scientist jobs? Cities in Kansas with the most Senior Computer Data Scientist job openings:
Infographic showing various Senior Computer Data Scientist job openings in Kansas as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 13% Part Time, and 10% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Sr Data Scientist

Ascend Learning

Leawood, KS • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 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 221 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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