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Data Science Startup Internship Jobs in Kansas (NOW HIRING)

... Data Science, or Engineering. Must have Junior or Senior standing at the time of the internship. 6 months of experience using Microsoft Office tools as part of prior work experience, classroom ...

... GIS), Data Science, or Engineering. * Must have Junior or Senior standing at the time of the internship. * 6 months of experience using Microsoft Office tools as part of prior work experience ...

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

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Data Science Startup Internship information

What is a data science startup internship?

A Data Science Startup Internship is an opportunity to gain hands-on experience working with real-world data in a fast-paced startup environment. Interns typically assist with data collection, cleaning, analysis, and model development to support business decisions. Startups often provide a dynamic and collaborative atmosphere where interns can work on various tasks, from building machine learning models to developing data pipelines. This role allows interns to develop technical skills in programming, statistics, and data visualization while also gaining exposure to the entrepreneurial aspects of a startup.

What types of projects or tasks can I expect to work on during a data science startup internship?

As a Data Science Startup Intern, you can expect to work on a variety of tasks such as cleaning and analyzing datasets, building simple machine learning models, and developing data visualizations to support business decisions. You may also participate in brainstorming sessions, help automate reporting processes, or assist in designing experiments to test new product features. Given the fast-paced nature of startups, you’ll often have the opportunity to take ownership of small projects from start to finish, receiving guidance from senior team members along the way. This hands-on experience is ideal for building practical skills and gaining exposure to real-world data challenges.

What are the key skills and qualifications needed to thrive in a data science startup internship, and why are they important?

To succeed in a Data Science Startup Internship, candidates should have a solid understanding of statistics, programming (commonly in Python or R), and basic data analysis principles, usually supported by coursework in computer science, math, or a related field. Familiarity with data visualization tools like Tableau or Matplotlib, version control systems like Git, and experience with machine learning libraries are highly valued. Strong communication, adaptability, and problem-solving skills help interns collaborate effectively in the fast-paced and dynamic startup environment. These abilities are vital for making meaningful contributions to projects and thriving in a setting where roles and responsibilities often evolve quickly.

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:
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Senior Data Scientist, Provider Data Science

Thyme Care, Inc.

Mission, KS • On-site

$166.50 - $185/hr

Other

Posted 22 days ago


Thyme Care rating

9.4

Company rating: 9.4 out of 10

Based on 5 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

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