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Data Science Startup Jobs in Missouri (NOW HIRING)

Zingroll

Data Engineer

California, MO · On-site

$100 - $125/hr

You are proficient in data science and building backend pipelines for event tracking. * You are an ... Availability: 4 weeks * Prior startup experience is highly valued. * Compensation Range:

Walmart

Manager, Data Analytics

Cassville, MO · On-site

$80K - $155K/yr

The Seller Fulfilled Services Analytics team operates with startup agility backed by enterprise ... Data Science: A/B tests, predictive machine learning models, and statistical analyses will be ...

Walmart

Manager, Data Analytics

Noel, MO · On-site

$80K - $155K/yr

The Seller Fulfilled Services Analytics team operates with startup agility backed by enterprise ... Data Science: A/B tests, predictive machine learning models, and statistical analyses will be ...

Walmart

Manager, Data Analytics

Anderson, MO · On-site

$80K - $155K/yr

The Seller Fulfilled Services Analytics team operates with startup agility backed by enterprise ... Data Science: A/B tests, predictive machine learning models, and statistical analyses will be ...

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

For Data Science Startup jobs in Missouri, the most frequently searched job titles 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 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Engineer

California, MO • On-site

Zingroll
See more jobs at Zingrollexternal

$100 - $125/hr

Other

Posted 8 days ago

Job description

We are hiring a Data Engineer to build the pipelines that track how users move through our app. You will be responsible for turning raw user behavior into clear insights - like where people drop off in the funnel and why they keep coming back.

What You'll Do
  • Build and maintain reliable pipelines to track user behavior and app events.
  • Analyze user conversion rates and retention through funnel and cohort analysis to identify exactly where we are winning or losing users.
  • Set up and manage tools like PostHog, Amplitude, or similar platforms to track real-time data.
  • Build the data framework for A/B tests so we can measure the impact of new features or ads.
  • Review session recordings to judge user intent and identify friction points in the app experience.
What We're Looking For
  • You have worked on consumer apps at scale and understand the nuances of high-volume user data.
  • You are proficient in data science and building backend pipelines for event tracking.
  • You are an expert in modern analytics suites (PostHog/Amplitude) and visualization software.
  • You ensure data is accurate and clean so management can make decisions with confidence.
  • You don\'t just report data; you look for patterns and suggest what we should test next.
  • You are comfortable watching session recordings to understand user behavior beyond just the numbers.
  • You have worked with ads data before (preferred but not strictly necessary).
General Notes
  • Availability: 4 weeks
  • Prior startup experience is highly valued.
  • Compensation Range: Competitive and market-aligned. The final package depends on skills, experience, and abilities – not your degree.
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