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Freelance Data Science Startup Jobs in Kansas (NOW HIRING)

Data Engineer

Overland Park, KS · On-site

$111K - $133K/yr

... Computer Science, or equivalent experience. * 3+ years of relevant data engineering experience. * Analytical thinker with experience working in a fast-paced, startup environment. * Technical ...

Data Engineer

Overland Park, KS

$111K - $133K/yr

... Computer Science, or equivalent experience. * 3+ years of relevant data engineering experience. * Analytical thinker with experience working in a fast-paced, startup environment. * Technical ...

Data Engineer

Overland Park, KS · On-site

$111K - $133K/yr

... Computer Science, or equivalent experience. * 3+ years of relevant data engineering experience. * Analytical thinker with experience working in a fast-paced, startup environment. * Technical ...

Senior Data Engineer

Overland Park, KS · On-site

$103K - $140K/yr

... Computer Science, or equivalent experience. * 6+ years of relevant data engineering experience. * Analytical thinker with experience working in a fast-paced, startup environment. * Technical ...

Senior Data Engineer

Overland Park, KS · On-site

$103K - $140K/yr

... Computer Science, or equivalent experience. * 6+ years of relevant data engineering experience. * Analytical thinker with experience working in a fast-paced, startup environment. * Technical ...

Senior Data Engineer

Overland Park, KS

$103K - $140K/yr

... Computer Science, or equivalent experience. * 6+ years of relevant data engineering experience. * Analytical thinker with experience working in a fast-paced, startup environment. * Technical ...

AI/ML Platform Architect

Lawrence, KS · On-site

$180 - $220/hr

Provide technical leadership and mentorship to engineers and data scientists while contributing to ... Startup or early-stage experience with a demonstrated ability to take a vision from strategy ...

... Sciences (OAQS) organization and pCRO (as applicable) reviewing Pre-trial Assessment outputs ... Study Startup, Monitoring / Management & Site Contracting Groups * Works proactively with data ...

This role is essential in protecting patient safety, ensuring highquality clinical data, and ... Bachelor's degree required; a scientific or healthcare discipline is preferred. * 6 months -2 years ...

This role is essential in protecting patient safety, ensuring highquality clinical data, and ... Bachelor's degree required; a scientific or healthcare discipline is preferred. * 6 months -2 years ...

Supabase Tutor

Wichita, KS · Remote

$18 - $40/hr

... time data synchronization while preparing students for full-stack application development using ... and startup technology stacks. * Curriculum Awareness & Adaptive Instruction: Familiar with ...

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Freelance Data Science Startup information

What is a freelance data science startup?

A Freelance Data Science Startup is a small business or entrepreneurial venture where individuals or small teams offer data science services independently, rather than working as full-time employees for a single company. These startups provide solutions such as data analysis, machine learning, predictive modeling, and data visualization to various clients on a project basis. Freelance data science startups often work with businesses that need expertise for specific projects or lack in-house data science resources. They may operate remotely and handle multiple clients simultaneously, allowing for flexibility and diverse experience. This model is popular among data scientists seeking autonomy and a variety of challenging projects.

What skills and qualifications are needed to thrive as a freelance data science startup founder?

To thrive as a Freelance Data Science Startup founder, you need strong expertise in data analysis, machine learning, programming (Python/R), and a solid educational background in statistics or computer science. Familiarity with tools like Jupyter, TensorFlow, cloud platforms (AWS, GCP), and data visualization software, as well as relevant certifications, is highly beneficial. Exceptional communication, client management, and entrepreneurial skills help differentiate successful founders in this space. These skills are crucial for delivering high-quality solutions, winning clients, and sustaining a competitive edge in the evolving data science market.

What unique challenges do freelance data scientists face when working with startups, and how can they manage them?

Freelance data scientists working with startups often encounter challenges such as rapidly changing project scopes, limited historical data, and the need to wear multiple hats. Since startups typically operate in fast-paced environments, priorities can shift quickly, requiring adaptability and strong communication skills. To manage these challenges, it's important to set clear expectations upfront, maintain transparent communication with stakeholders, and design flexible data solutions that can evolve as the business grows. Building strong relationships with both technical and non-technical team members can also help ensure project alignment and successful outcomes.

What is the difference between Freelance Data Science Startup vs Data Analyst?

AspectFreelance Data Science StartupData Analyst
CredentialsRelevant degrees, certifications in data science or analyticsDegree in statistics, data analysis, or related fields
Work EnvironmentIndependent, project-based, remote or on-siteTypically in corporate or organizational settings, often full-time
Employer & IndustrySelf-employed or startup clients across various industriesEmployers in finance, marketing, healthcare, etc.
Search & Comparison IntentLooking for freelance opportunities or startup roles in data scienceSeeking data analysis roles within organizations

Freelance Data Science Startups focus on independent, project-based work involving advanced data modeling and machine learning, often serving multiple clients. Data Analysts typically work within organizations analyzing data to inform business decisions. While both roles require analytical skills, freelance data science startups emphasize entrepreneurship and technical expertise, whereas data analysts focus on operational data insights within a company.

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

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

What cities in Kansas are hiring for Freelance Data Science Startup jobs?

Cities in Kansas with the most Freelance Data Science Startup job openings:

Infographic showing various Freelance Data Science Startup job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Senior Data Scientist, Provider Data Science

Thyme Care, Inc.

Mission, KS • On-site

$166.50 - $185/hr

Other

Re-posted 10 days ago


Thyme Care rating

8.5

Company rating: 8.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

Overview

We exist to create a more connected, compassionate, and confident experience for people with cancer and those who care for them. We make it easier to get answers, access high-quality care quickly, and feel supported throughout treatment and beyond.

Today, Thyme Care is a market-leading value-based oncology care enabler, partnering with national and regional health plans, providers, and employers to deliver better outcomes and lower costs for thousands of people across the country. Our model combines high-touch human support with powerful technology and AI to bring together everyone involved in a person’s cancer journey: caregivers, oncologists, health plans, and employers.

As a tech-native organization, we believe technology should strengthen the human connection at the center of care. Through data science, automation, and AI, we simplify complexity, improve collaboration, and help care teams focus on what matters most: supporting people through cancer.

Looking ahead, our vision is bold: to become a household name in cancer care, where every person diagnosed asks for Thyme Care by name. If you’re inspired to make cancer care more human and to help reimagine what’s possible, we’d love to meet you. Together, we can build a future where every person with cancer feels truly cared for, in every moment that matters.

What you’ll do

As a Senior Data Scientist, you will join our Data team to help us build and maintain strong analytic capabilities supporting Thyme Care’s mission. You will model data, create visualizations to report to stakeholders, and deliver insights that drive action.

In this position, you will partner with our Product, Engineering, Operations, and Data Science teams to define and lead improvements to our data pipelines, setting direction that enables faster, more effective care delivery and measurement. You will own efforts to reduce latency between our data and applications, designing and building a scalable data architecture and healthcare data models that enable our pharmacy interventions and provider incentive programs.

  • Gain a deep understanding of our core data architecture and lead improvements to our data pipelines, balancing near-term needs with long-term architectural health.
  • Own and lead the development of data models that make it possible to analyze the nuances of our EMR drug delivery and drug economics in ways that scale across contracts and pharmacy interventions.
  • Establish key KPIs and reporting standards that help stakeholders make our operations more efficient.
  • Partner with stakeholders to understand and translate their business requirements into technical plans. This involves developing data models, pipelines, and analytics dashboards. For example, you own the end-to-end data life cycle of data ingestion from a practice, standardization and cleaning, core modeling and BI dashboarding for both internal and external partners.
  • Lead the development of utilization and quality metrics and serve as a domain expert for stakeholders across the company. Additionally, you will leverage our data assets for business opportunities and strategic initiatives at Thyme Care.
What you’ve done
  • Deep experience working with healthcare data such as electronic health records, claims, or prior auth.
  • Expertise in analytics, data modeling, and data transformation, and have used that expertise to influence decisions beyond your immediate scope.
  • Deep expertise in dbt and SQL, with experience designing, rebuilding, and owning complex data models and pipelines that ensure reliability and scalability across the data platform.
  • Experience with large healthcare datasets, ideally in a healthcare-focused technology startup, health plan, or provider group with mature data structures and pipelines.
  • A working knowledge of Python or R and experience with Looker or similar BI tools for data analysis and visualization is a plus.
  • Previous direct involvement drug or Medicare Part D data is a plus.
What leads to success

Act with our members in mind. Thyme Care’s mission, and in particular, our member experience, matters deeply to you.

Move with purpose. You’re biased to action. You know how to identify and prioritize your initiative’s needs and do what it takes to ensure that urgent and important needs are acted on immediately.

Seek diverse perspectives. You are humble and actively seek feedback from others, eager to learn and share knowledge.

Experience. You have worked with large healthcare datasets, ideally in a health plan or healthcare-focused technology startup with mature data structures and pipelines as an Analytics Engineer or Data Engineer. Experience with medical claims, pharmacy claims, eligibility files, and other relevant healthcare data is essential for building data marts for reporting and analysis.

Technical ability. You have deep expertise in analytics, data modeling, and data transformation, with strong proficiency in dbt and SQL to build and maintain data models and pipelines. A working knowledge of Python or R and experience with Looker or similar BI tools for data analysis and visualization is a plus.

Clear communication. You can effectively convey your thoughts and ideas to both technical and non-technical colleagues and stakeholders.

Comfort with ambiguity. You have a successful track record working at scaling organizations, in fast-paced environments, and at ambitious startups. You navigate through challenges and find solutions in uncertain situations.

Our values

At Thyme Care, our core values guide us in everything we do: Act with our members in mind, Move with purpose, and Seek diverse perspectives. They anchor our business decisions, including how we grow, the products we make, and the paths we choose—or don’t choose.

Our salary ranges are based on paying competitively for our size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Thyme Care. Individual pay decisions are based on several factors, including qualifications, experience level, skillset, and balancing internal equity relative to other Thyme Care employees. The base salary for this role is $166,500-$185,000. The salary range could be lower or higher than this if the role is hired at another level.

We recognize a history of inequality in healthcare. We’re here to challenge the status quo and create a culture of inclusion through the care we give and the company we build. We embrace and celebrate a diversity of perspectives in reflection of our members and the members we serve. We are an equal-opportunity employer.

Be cautious of recruitment fraud, and always confirm that communications are coming from an official Thyme Care email.

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What Thyme Care employees say

Pay

Hours and flexibility

Workplace

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