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Freelance Data Science Startup Jobs in Kansas (NOW HIRING)

Berkley

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 ...

Berkley

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 ...

W. R. Berkley Corporation

Data Engineer

Overland Park, KS · On-site

$108K - $130K/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 ...

Berkley

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 ...

Cheez

Product Manager @ Social app startup

Wichita, KS · On-site

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

Cheez

Product Manager @ Social app startup

Topeka, KS · On-site

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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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 are popular job titles related to Freelance Data Science Startup jobs in Kansas?

For Freelance Data Science Startup jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Freelance Data Science Startup jobs in Kansas look for?

The top searched job categories for Freelance 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:

Freelance Data Science Startup jobs near you
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.

Data Engineer

Overland Park, KS • On-site

Berkley
See more jobs at Berkleyexternal

$111K - $133K/yr

Full-time

Re-posted 9 days ago

Job description

Intrepid Direct Insurance (IDI) is a rapidly growing direct to consumer property and casualty insurance company. A member of the W. R. Berkley Corporation, a fortune 500 company, rated A+ (Superior) by A.M. Best, Intrepid Direct’s vision is to make life better for business. The insurance industry has not evolved with innovation like other major industries. We’re here to change that. We are making life better for our customers, shareholders, and our team members by leveraging data and technology as insurance experts for our targeted customers. You will be part of a highly collaborative team of talented and focused professionals. Join a group that enjoys working together, trusts each other, and takes pride in our hard-earned success.

https://intrepiddirect.com/

The Company is an equal employment opportunity employer.


Join our team at as a Data Engineer and play a pivotal role in designing, creating, deploying, and managing our company's data systems. This essential position supports our growth and innovation by ensuring the availability of high-quality data. You will be responsible for designing and building scalable data pipelines, developing data models, and implementing strategies for data acquisition and management. Your expertise in data infrastructure and database management will enhance the availability, reliability, and integrity of data used across the organization.

Key functions include but are not limited to:

  • Design and Build Database Systems: Design, construct, test, and maintain highly scalable data management systems that adhere to both business requirements and industry best practices.
  • Data Modeling and Design: Create data models and architecture patterns that optimize functionality, cost, performance, scalability, reusability, security, and extensibility.
  • Data Strategy and Management: Devise, support and implement strategies for data acquisition, archival recovery, and database implementations to ensure data fidelity and cleanliness.
  • Integration and Migration: Maintain robust data integrity across a variety of data sources and systems, facilitating data migrations and preparing data for advanced analytics.
  • Performance Management: Oversee and enhance the performance and storage of database systems through automated maintenance scripts.
  • Collaboration and Support: Collaborate with developers, data scientists, analysts, and others to support data-related technical needs and improvements.
  • Innovation and Research: Stay updated on industry trends and technologies, advocating for new tools and techniques that can enhance our data architecture and management capabilities.

  • Bachelor’s degree in Mathematics, Statistics, Computer Science, or equivalent experience.
  • 3+ years of relevant data engineering experience.
  • Analytical thinker with experience working in a fast-paced, startup environment.
  • Technical expertise with Microsoft SQL Server.
  • Familiarity with ETL tools and concepts.
  • Hands-on experience with database design and data modeling, preferable experience with Data Vault methodology.
  • Experience supporting and troubleshooting SSIS packages.
  • Experience consuming event-based data through APIs or queues.
  • Experience in Agile software development.
  • Experience with insurance data highly desired.
  • Detail oriented, solid organizational, and problem-solving.
  • Strong written, visual, and verbal communication skills.
  • Team oriented with a strong willingness to serve others in an agile startup environment.
  • Flexible in assuming new responsibilities as they arise.
  • Experience with Power Bi desired.

This role is based in our Overland Park, KS office. It is a full-time, in-office role.


We do not accept unsolicited resumes from third party recruiting agencies or firms.
The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.
Sponsorship not Offered for this Role

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