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Data Science Startup Jobs in Kentucky (NOW HIRING)

VP Engineering and R&D - AI Startup

Louisville, KY · Remote

$172K - $221K/yr

Experience managing a team of data scientists and AI researchers and engineers using Agile methodologies and tools * Previous startup experience with a proven track record of leading teams that drive ...

VP Engineering and R&D - AI Startup

Louisville, KY · On-site +1

$172K - $221K/yr

Experience managing a team of data scientists and AI researchers and engineers using Agile methodologies and tools * Previous startup experience with a proven track record of leading teams that drive ...

We are a well-funded startup with an enviable portfolio of clients including Anthropic , Amazon ... Bachelor's or Master's degree in Data Science, ML/AI, Software Engineering, or a related ...

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Data Science Startup information

See Kentucky salary details

$21.9K

$105.3K

$196.5K

How much do data science startup jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data science startup in Kentucky is $105,348.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,662.00 and $146,522.00 per year, depending on experience, location, and employer.

What is a Data Science Startup job?

A Data Science Startup job involves working at an early-stage company that leverages data science to build innovative products or services. Employees typically wear multiple hats, working on data analysis, machine learning models, data pipelines, and sometimes even product or business strategy. The role often requires strong programming skills (Python, SQL), statistical knowledge, and the ability to work in a fast-paced, evolving environment. Since startups have limited resources, adaptability, problem-solving skills, and a willingness to experiment are crucial. It’s a great opportunity to gain diverse experience and make a significant impact in shaping a company's data strategy.

What are the typical challenges faced when working at a data science startup?

Working at a data science startup often involves managing ambiguity, adapting to frequently changing priorities, and balancing multiple roles due to lean team structures. You may be responsible for the entire data pipeline—from data collection and cleaning to building models and presenting findings—making flexibility and resourcefulness essential. Tight project timelines, evolving business goals, and limited initial resources can also be common, so being proactive and self-motivated helps you thrive. On the positive side, these challenges offer significant opportunities to learn rapidly, take ownership of impactful projects, and shape both the company's products and your own career trajectory.

What are the key skills and qualifications needed to thrive in the Data Science Startup position, and why are they important?

To thrive in a Data Science Startup, you need strong analytical skills, proficiency in programming languages like Python or R, and a solid understanding of statistics and machine learning. Familiarity with data visualization tools, cloud platforms, and relevant certifications such as Certified Data Scientist or AWS Certified Data Analytics are highly valued. Adaptability, creative problem-solving, and effective communication are key soft skills that set standout professionals apart in this environment. These skills are vital for driving innovation, efficiently handling rapidly changing projects, and collaborating in a fast-paced, entrepreneurial setting.

What are the most commonly searched types of Data Science Startup jobs in Kentucky? The most popular types of Data Science Startup jobs in Kentucky are:
What are popular job titles related to Data Science Startup jobs in Kentucky? For Data Science Startup jobs in Kentucky, the most frequently searched job titles are:

VP Engineering and R&D - AI Startup

C-Plan.IT

Louisville, KY • Remote

$172K - $221K/yr

Full-time

Posted 20 days ago


Job description

Company Description

C-PLan.IT is an early stage startup on a mission to enable mid-market organizations to measure and maximize value from IT investments. We are building an AI Digital Assistant delivered as-a service in real time to support IT investment decision making and value optimization.  

Unlike competitive solutions that focus on cost or asset management only C-Plan.IT specializes in IT investment management with a particular focus on digital transformation objectives. 

The benefits of using C-Plan.IT increase as the platform's membership grows toward the bold goal of becoming the world's largest IT investment platform with $100B annual IT investments under management across 2000 organizations in the next 10 years. 

Privately funded, we are a fully remote company with a 100% distributed team allowing us to hire the best people regardless of where they are located.

Job Description

Are you a technology leader who is not only passionate about AI but is also excited to be at the forefront of solving one of the most challenging problems that have plagued IT for years and could result in organizations becoming highly challenged or possibly extinct as digital transformation sweeps every sector?

Are you looking for a role with the opportunity to:

  • Execute core research in AI knowledge management that leads to patentable technologies?
  • Take an idea from research to a commercially successful cloud-based enterprise software product?
  • Build a solution that will have a meaningful impact on one-third of the US economy - both for-profit and not-for-profit organizations?

Are you seeking the potential to:

  • Be the first to bring a unique combination of AI and data management to the market?
  • Work with experienced, successful Silicon Valley entrepreneurs with 4X startup experience leading to IPO and acquisition exits?
  • Be mentored by a team of research advisors known in the industry as thought leaders?
  • Participate in a Silicon Valley-style equity opportunity within a venture with the potential for significant value creation?
  • Work with a company built around a remote model before COVID-19 made it a requirement?
  • Give back to your community through a 1-1-1 philanthropic model as pioneered by Marc Benioff's Salesforce?
Qualifications

The Essentials:

  • Master or Ph.D. in Computer Science, Mathematics, Physics, Engineering, Statistics, Operation Research or other equivalent quantitative fields
  • Experience in AI with a demonstrated understanding of expert systems, knowledge management, and digital assistants
  • Experience managing a team of data scientists and AI researchers and engineers using Agile methodologies and tools
  • Previous startup experience with a proven track record of leading teams that drive innovation and deliver products in a fast-paced, high-energy environment
  • Excited to work with new technologies and approaches
  • Experience working within an SBIR NSF (Small Business Innovation Research - National Science Foundation) Program grant award model

Responsibilities:

  • Get to know our customer (or know them already) and use that empathy to inform shaping the product's vision and requirements and building an exceptional product
  • Serve as a thought leader and technology strategy driver along with the CEO and Co-Founders to make decisions on the product technology architecture including building block components - with a preference for open source technologies
  • Build, build, build - especially in the early days, you will be rolling up your sleeves and writing code, from core platform to fixing bugs
  • Help form a top-performing team of talented and responsible software engineers, data scientists and product designers, and provide them the freedom to be creative and innovative
  • Lead product engineering including research and development of unique proprietary and patentable intellectual property that yields competitive advantages
  • Embody the company's culture and mission by fostering a culture that is passionate about building awesome products that deliver measurable value and a customer experience that delights
  • Evangelize the company's technology vision, roadmap and capabilities with customers, investors, employees, and other stakeholders
  • Stay current on technology advances in the field of AI - especially digital assistants, knowledge engineering, data-driven reasoning, expert systems - and in the field of data management - including column databases and other advanced decision analytics technologies
Additional Information

All your information will be kept confidential according to EEO guidelines.