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Data Science Sustainability Remote 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 ...

Federal Home Loan Bank of Topeka

Data Architect

Topeka, KS · On-site +1

$60 - $77.25/hr

Support early analytics, BI, and data science use cases. * Guide teams on Databricks best practices ... Flexible Remote Workday | Business partners may work remote one day per week. * Access to ...

Federal Home Loan Bank of Topeka

Data Architect

Topeka, KS · On-site +1

$60 - $77.25/hr

Support early analytics, BI, and data science use cases. * Guide teams on Databricks best practices ... Flexible Remote Workday | Business partners may work remote one day per week. * Access to ...

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+ ...

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 ...

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 ...

CrowdStrike

Collaborate across the organization with Data Scientists, Product Managers, and other engineering ... Contributions to open-source projects related to data or AI/ML. #LI-DM1 #LI-Remote Benefits of ...

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Data Science Sustainability Remote information

What is a data science sustainability remote job?

A Data Science Sustainability Remote job involves using data analysis and machine learning techniques to address environmental and sustainability challenges while working from a remote location. Professionals in this role analyze large datasets to uncover insights that can improve energy efficiency, reduce waste, and help organizations meet their sustainability goals. They often collaborate with sustainability teams and decision-makers to design data-driven strategies for positive environmental impact. Remote work allows them to perform these tasks from virtually anywhere, providing flexibility and access to a wide range of organizations.

What does a data science sustainability remote professional do?

In a remote Data Science Sustainability role, you'll frequently collaborate with teams such as environmental specialists, product managers, and IT professionals to analyze data and develop models that support the organization's sustainability goals. Effective virtual communication and project management tools are essential, as you may participate in regular video meetings, share progress updates, and co-develop solutions to track and reduce environmental impact. By working closely with diverse departments, you help translate complex data insights into actionable strategies, making your contributions highly visible and impactful across the organization.

What skills and qualifications are needed to thrive as a data science sustainability remote professional?

To excel as a Data Science Sustainability professional in a remote setting, you need a solid background in data analysis, statistical modeling, and domain knowledge in environmental or sustainability science, typically backed by a relevant degree. Familiarity with programming languages like Python or R, data visualization tools, and experience with sustainability data platforms or certifications such as LEED or GRI is highly valuable. Strong communication, problem-solving abilities, and self-motivation are crucial soft skills for collaborating across virtual teams and translating data insights into actionable strategies. These skills ensure that data-driven decisions effectively support sustainability goals while maintaining productivity and alignment in a remote work environment.

What is the difference between Data Science Sustainability Remote vs Data Analyst Sustainability Remote?

AspectData Science Sustainability RemoteData Analyst Sustainability Remote
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; certifications like SAS or PythonBachelor's in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and visualization tools
Work EnvironmentRemote, collaborative teams, often with data engineering and analytics departmentsRemote, focused on data collection, cleaning, and reporting within sustainability projects
Employer & Industry UsageTech companies, environmental agencies, consulting firmsResearch institutions, environmental organizations, corporate sustainability teams

Data Science Sustainability Remote involves advanced analytics, machine learning, and modeling to support sustainability initiatives, requiring technical expertise. Data Analyst Sustainability Remote focuses on analyzing and visualizing sustainability data to inform decisions. Both roles are remote and integral to sustainability efforts but differ in technical complexity and responsibilities.

What are popular job titles related to Data Science Sustainability Remote jobs in Kansas? For Data Science Sustainability Remote jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Data Science Sustainability Remote jobs in Kansas look for? The top searched job categories for Data Science Sustainability Remote jobs in Kansas are:
What cities in Kansas are hiring for Data Science Sustainability Remote jobs? Cities in Kansas with the most Data Science Sustainability Remote job openings:
Data Science Sustainability Remote jobs near you
Infographic showing various Data Science Sustainability Remote job openings in Kansas as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.

Sr Data Scientist

Ascend Learning

Leawood, KS • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 29 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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