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Data Science Startup Jobs in Missouri (NOW HIRING)

Ocelot Consulting

Cloud Engineer

Saint Louis, MO · On-site

$52.25 - $69.75/hr

  • Medical

  • Dental

  • Retirement

  • PTO

Company Description Ocelot Consulting is a growing technology consulting startup with a history of ... data science. Our teams show clients what is possible, and then help them get there. Ocelots are ...

Bioio, Inc.

Be Seen First

Senior Scientist

Saint Louis, MO · On-site

$90K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Scientist Bioio, Inc. | St. Louis, MO (on-site) | Full-time We're a preclinical drug ... Fluent with data analysis * Thrive in a lean startup where you own your programs * Bonus: metabolic ...

Tenex

Forward Deployed Data Architect

Kansas City, MO · On-site

$180 - $260/hr

We're a fast growing startup backed by industry experts and top tier investors led by Crosspoint ... Bachelor's degree in Computer Science, Cybersecurity, Engineering, or a related field (or ...

Walmart

Principal, Product Manager - Services Platform

Noel, MO · On-site

$110K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will partner closely with Engineering, Design, Data Science, Operations, and senior business ... Our team operates with a startup mindset and Walmart scale--moving quickly, experimenting ...

Washington University of St. Louis

$350K/yr

  • Medical

  • Retirement

  • PTO

... and continuous, data driven, and measurable improvement of the Center's venture development ... This role oversees and drives the full startup and venture pipeline across all programs, including ...

Artera

Associate AI Builder

Kansas City, MO

$80K - $140K/yr

Artera has also been recognized by Forbes as one of "America's Best Startup Employers," Newsweek as ... Requirements * 0 - 3 years of professional software engineering, data science, machine learning ...

Artera

AI Builder

Kansas City, MO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Artera has also been recognized by Forbes as one of "America's Best Startup Employers," Newsweek as ... Requirements * 2 - 5 years of professional software engineering, data science, machine learning ...

Artera

AI Builder

Kansas City, MO · On-site

$120K - $180K/yr

Artera has also been recognized by Forbes as one of "America's Best Startup Employers," Newsweek as ... Requirements * 2 - 5 years of professional software engineering, data science, machine learning ...

Artera

Associate AI Builder

Kansas City, MO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Artera has also been recognized by Forbes as one of "America's Best Startup Employers," Newsweek as ... Requirements * 0 - 3 years of professional software engineering, data science, machine learning ...

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Data Science Startup information

What is a data science startup?

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 a data science startup, 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 Missouri?

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

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

The top searched job categories for Data Science Startup jobs in Missouri are:

Data Science Startup jobs near you
Infographic showing various Data Science Startup job openings in Missouri as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Cloud Engineer

Ocelot Consulting

Saint Louis, MO • On-site

$52.25 - $69.75/hr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 26 days ago

Job description

Company Description

Ocelot Consulting is a growing technology consulting startup with a history of delivering innovative solutions.  Our mission is to help our clients modernize.  We specialize in cloud technologies, custom application development, enterprise security, and data science.  Our teams show clients what is possible, and then help them get there.  Ocelots are active learners, have a positive impact on the world, and do exceptional work.

Job Description

As a cloud engineer you will build and automate highly available, elastic, and secure cloud-based infrastructure to support the needs of our client workloads. You will have the opportunity to work in a wide variety of areas including infrastructure automation, security, configuration management, continuous integration, continuous deployment as well as mentoring colleagues on your team and across other engineering teams.

Qualifications

Requirements

  • Deploying and maintaining infrastructure on a major cloud provider (AWS, GCP, Azure)
  • Experience using common infrastructure as code tool-sets (CloudFormation, TerraForm, Cloud Deployment Manager)
  • Working with common CI/CD and version control technologies (Jenkins, Git, etc.)
  • Creating, configuring, and running containers (Docker, Kubernetes, etc)
  • Proficiency in one or more common infrastructure automation languages (Shell Scripting, Python, Golang, etc)
  • Basic Linux OS setup and configuration

Nice to have

  • Serverless technologies (Lambda, Google Functions, Azure Functions)
  • Experience working in an Agile team-oriented environment
  • General Purpose Programming languages (Java, C, Scala, Python, Erlang, etc.)
  • Docker Swarm/Kubernetes/Cloud Foundry experience
  • Networking and Firewall concepts and troubleshooting
  • Experience with common configuration management software (Ansible, Puppet, AWS SSM, etc.)
Additional Information

Standard Benefits Program (medical, dental, retirement, PTO, etc.)

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

Apply