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Remote Data Science Jobs in Kansas (NOW HIRING)

Aurora Geosciences Ltd.

... survey data is an asset. * Relevant technical diploma or degree in Geophysics, Geology, Earth Sciences, or a related field, or equivalent field experience. * Comfort working in remote field ...

StackAdapt

StackAdapt is a Remote First company, we are open to candidates located anywhere in Canada or the ... Collaborate with data scientists and product teams to integrate ML models and sophisticated ...

WellSky

Staff Software Engineer

Overland Park, KS · Remote

$2.5K/yr

Collaborate with solution managers, engineers, data scientists, and other stakeholders to define ... Must be able to sit and view a computer screen for extended periods of time #LI-TC1 #LI-Remote ...

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Remote Data Science information

What are the key skills and qualifications needed to thrive as a Remote Data Scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists will continue to be essential for developing complex algorithms, understanding business context, and ensuring ethical use of AI tools. Skills in programming, statistical analysis, and machine learning remain critical for the profession's evolving landscape.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

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 features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.
More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Kansas? The most popular types of Data Science jobs in Kansas are:
What are popular job titles related to Remote Data Science jobs in Kansas? For Remote Data Science jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Remote Data Science jobs in Kansas look for? The top searched job categories for Remote Data Science jobs in Kansas are:
What cities in Kansas are hiring for Remote Data Science jobs? Cities in Kansas with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Kansas as of June 2026, with employment types broken down into 2% As Needed, 73% Full Time, 23% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.
Business Analyst, Pricing and Underwriting

Business Analyst, Pricing and Underwriting

Maxor National Pharmacy Services

Kansas City, KS • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Maxor National Pharmacy Services rating

8.8

Company rating: 8.8 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

3rd of 99 rated pharmacies

Job description

The Business Analyst, Pricing and Underwriting, is responsible for the compilation, analysis, and reporting of data to support pricing contracts for Specialty services within a Pharmacy Benefit Manager (PBM) setting. Partner cross-functionally with Underwriting, Finance, Clinical, and Account Management teams to develop custom reports, assess the impact of client-driven changes, and perform data-driven analyses. Utilize SQL, Excel, and data visualization tools to maintain and monitor Specialty pricing models, support financial forecasting, and contribute to strategic economic modeling. Design and generate reports to inform daily operations and executive decision-making. Collaborate within the Pricing & Underwriting department to develop queries across multiple systems, offering robust analytical support to key business units.

Position Location:

This is a remote-based position within the Continental US.

Our Company Founded in 1926, Maxor is a leading, independent pharmacy solutions platform that improves prescription drug affordability and outcomes. Over time, Maxor has built a unique and complementary suite of clinically integrated services and technology offerings that deliver clinical, financial and strategic value to patients, payors and providers across the pharmacy supply chain. Maxor has a proud heritage of growth and innovation earned over the decades. Amarillo, Texas is the legacy headquarters for Maxor, but our talent base is national. We operate pharmacies and other business operation sites across the United States with employees working from 44 states.

Why Join Maxor?

At Maxor, we recognize that our employees are our most valuable assets. We actively seek and retain talented professionals who are mission-driven to improve healthcare outcomes for patients. Likewise, our employees are essential to their own well-being, finding fulfillment in meaningful work, competitive compensation, diverse and inclusive teams, and limitless career possibilities. With a growing workforce of 1,500+ and almost a century of pharmacy experience, we offer the stability of a Fortune 500 company and the energy and innovation of a startup. Our expertise and technology support the entire pharmacy ecosystem, but our impact goes beyond pharmacy services. We enable pharmacy care.

Responsibilities
  • Create and maintain custom data-mining queries to produce actionable insights for pricing and business strategy.
  • Analyze pharmacy claims, drug pricing, rebate models, and utilization trends for internal teams and client reporting.
  • Interpret complex pharmacy benefit structures and clearly communicate findings to varied audiences.
  • Provide forecasting, reporting, and analytical support to senior management for strategic planning.
  • Automate and streamline reporting to increase efficiency and reduce manual processes within PBM pricing operations.
  • Contribute to Specialty Pricing operations by:
    • Managing pricing appeals, coordinating with Maxor Specialty, and compiling data for automated processing.
    • Executing weekly pricing tasks to ensure accuracy and implementation consistency.
    • Gathering and preparing input data from pricing resources to support core processes.
    • Documenting procedures to meet audit and compliance requirements.
  • Execute dynamic pricing strategies in response to market changes to ensure competitive positioning and profitability.
  • Collaborate with Pricing, Underwriting, Sales, and Account Management teams to evaluate and support new/existing client opportunities.
  • Enhance financial models and streamline operational processes for greater accuracy and efficiency.
  • Create and distribute ad hoc reports and financial models tailored to business needs.
  • Develop tools for performance monitoring and key metric tracking across business units.
  • Maintain current knowledge of financial tools, market conditions, and PBM industry trends.
  • Author and manage Standard Operating Procedures (SOPs) for custom and standardized tasks.
  • Communicate complex analytical findings effectively across technical and non-technical audiences.
  • Foster continuous improvement with a strong focus on operational excellence and process optimization.
Qualifications

Education:  Bachelor’s Degree in Finance, Business Analytics, Computer Information Systems, Data Science, or Economics. Or similarly related degree preferred.

Experience: Minimum of 2 years’ experience completing complex analytical, financial analysis for PBM services. Minimum of 1 year experience using SQL or other applicable programming language (Python/VBA/C++/etc).

Knowledge, Skills, and Abilities:

  • Knowledge of pricing components and service mix, including plan design, prescription utilization, retail networks, rebates, Specialty/Mail pharmacy services, and brand/generic dynamics.
  • Advanced Excel and Word expertise, with experience in building complex financial models and reports.
  • Proficient in SQL, using SELECT, CASE, JOIN, and conditional logic to extract and analyze large datasets.
  • Strong analytical skills to assess client-specific data within the broader context of business strategy, delivering actionable pricing recommendations.
  • Experience working with complex, unstructured datasets to drive insights and decisions.
  • Proven ability to manage multiple priorities, coordinate deliverables, and meet critical deadlines.
  • Effective cross-functional collaborator in fast-paced environments involving Operations, Sales, Account Management, and Finance.
  • Skilled communicator with experience presenting findings to senior leadership. Self-motivated project manager with excellent follow-through and organizational discipline.
  • Detail-oriented with exceptional time management and process documentation skills.

WE OFFER

At Maxor, we foster a diverse and progressive culture that promotes a work-from-home model and a "dress-for-your-day" approach to work attire. Our team-oriented environment encourages collaboration and innovation.

We offer highly competitive compensation and comprehensive health benefits including:

  • Comprehensive mental health and wellbeing resources
  • Nationwide Blue Cross Blue Shield PPO with employee-friendly plan design, including a $850 individual annual medical deductible and $25 office visit copays, with low biweekly premiums
  • Company-paid basic life/AD&D, short-term and long-term disability insurance
  • Rx, dental, vision, other voluntary benefits, and FSA
  • Employer-matched 401k Plan
  • Industry-leading PTO plan
  • And more!

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