ZipRecruiter

Log In

1

Data Science Startup Jobs in Missouri (NOW HIRING)

Cheez

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

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

Ocelot Consulting

Cloud Engineer

Saint Louis, MO

$52.25 - $69.75/hr

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 ...

Ocelot Consulting

Cloud Engineer

Saint Louis, MO · On-site

$52.25 - $69.75/hr

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

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 ...

previous pagenext page

Showing results 21-40

All JobsData Science Startup JobsData Science Startup Jobs in Missouri

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.

Associate Product Manager @ Social app startup

Cheez

Columbia, MO • On-site

Full-time

Re-posted 23 days ago

Job description

Cheez is a new app that sends you the pictures that your friends take of you, powered by facial recognition.

See the iOS app https://apple.co/3KLnpTa

or the Android app https://cheez.cc/449QC0Q

Responsibilities:

  • Assist in defining product requirements, objectives, and key results based on user needs and market research

  • Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to prioritize, plan, and execute product roadmaps and sprint plans

  • Develop user stories, acceptance criteria, and detailed product specifications to communicate feature requirements to the design and engineering teams

  • Monitor and analyze product performance metrics, identifying opportunities for improvement and optimization

  • Conduct user research, usability testing, and competitive analysis to inform product decisions and validate hypotheses

  • Collaborate with the marketing team to create go-to-market strategies, positioning, and messaging for new features and improvements

  • Foster a culture of collaboration, continuous improvement, and user-centric thinking within the team

  • Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not required)

  • Strong product instincts & passion for social media, technology, and staying current with industry trends

  • Excellent communication, collaboration, and presentation skills

  • Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

  • Ability to thrive in a fast-paced, dynamic startup environment

  • Eagerness to learn, adapt, and contribute to a supportive, inclusive team culture

Apply