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Freelance Data Science Startup Jobs in Missouri (NOW HIRING)

Tenex

Forward Deployed Data Engineer

Kansas City, MO · On-site

$120 - $160/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 ...

New

Bioio, Inc.

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 Engineer

Kansas City, MO · On-site

$120 - $180/hr

We're a fast growing startup backed by industry experts and top tier investors led by Crosspoint ... Collaborate closely with the AI & Data Science function -- surfacing cross-customer intelligence ...

New

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 ...

Jobgether

You'll combine creative judgment with performance data to identify what to scale, iterate, or stop ... You'll collaborate with designers, developers, freelance creatives, agencies, and marketing teams ...

Tenex

Threat Detection Engineer

Kansas City, MO · On-site

$120 - $180/hr

We're a fast growing startup backed by industry experts and top tier investors led by Crosspoint ... Knowledge of data science and machine learning concepts as applied to security analytics. Why Join ...

New

Jobgether

Professional experience as a software engineer with a strong foundation in computer science and ... Available to work full-time or on a freelance basis. Benefits * Fully remote position with ...

Washington University of St. Louis

$350K/yr

... 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 ...

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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 Missouri?

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

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

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

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

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

What cities in Missouri are hiring for Freelance Data Science Startup jobs?

Cities in Missouri with the most Freelance Data Science Startup job openings:

Freelance Data Science Startup jobs near you

Application Software Engineer Software

Front Door Defense

California, MO • On-site

$125 - $175/hr

Other

Posted 2 days ago

New

Job description

Application Software Engineer Collaborate with customers to tailor Sift's telemetry platform and deliver custom integrations

Location: Marina del Rey, California, United States

Compensation: $125,000 - 175,000 USD / year

About The Role

Sift is the data infrastructure platform for hardware engineering teams. Sift turns high-frequency telemetry into engineering insights for mission‑critical systems. Teams use Sift to build and operate rockets, satellites, autonomous vehicles, energy systems, defense platforms, and more. Founded by former SpaceX engineers who built the tools behind Dragon and Starlink, Sift is building the data infrastructure to herald the AI era for physical systems.

Application Software Engineers bridge the gap between Sift's cutting‑edge telemetry platform and our customers' complex engineering challenges. In this role, you'll work directly with customer teams to adapt Sift's capabilities to their needs, build custom solutions, and foster deep partnerships. You'll collaborate with product and engineering teams to translate customer requirements into actionable insights, ensuring our platform evolves to meet real‑world demands.

We're looking for an engineer who thrives in dynamic, customer‑facing environments and is passionate about industries like aerospace, autonomous systems, and renewable energy. This is a rare opportunity to join an early‑stage startup and directly impact the success of next‑generation machines. You will report to the team's Lead and play a critical role in delivering value to our customers.

In This Role, You'll
  • Partner with customers to understand their technical challenges and adapt Sift's platform to meet their specific needs.
  • Develop custom solutions and integrations using Sift APIs to solve customer problems.
  • Translate customer requirements into actionable feedback for product and engineering teams.
  • Create and maintain integrations with common engineering tools to enhance customer workflows.
  • Prepare materials and assist in technical onboarding and training sessions for customer teams.
  • Build strong, trust‑based relationships with customers, acting as a technical partner and advocate.
The Skillset You'll Bring
  • 2+ years of experience in software engineering or data engineering.
  • Proficiency in Python and familiarity with REST APIs.
  • Basic understanding of data analysis and visualization techniques.
  • Strong problem‑solving skills with a keen attention to detail.
  • Excellent communication skills, with the ability to explain technical concepts to diverse audiences.
  • Passion for aerospace, autonomous systems, or advanced engineering applications.
  • Eagerness to learn and adapt in a fast‑paced startup environment.
  • Bachelor's degree in computer science, data science, engineering, math, physics, or a STEM discipline.
Bonus Points
  • Experience in any of the following:
    • Aerospace systems, satellite operations, or autonomous vehicle development.
    • Data streaming technologies or time‑series databases (e.g., Kafka, InfluxDB).
    • SQL and database concepts.
    • Cloud platforms (e.g., AWS, GCP, Azure).
    • Software integration challenges in complex systems.
    • Machine learning or AI applications in engineering.
  • Demonstrated ability to quickly learn and apply new technologies.
What We're Looking For
  • Someone with a customer‑first mindset who's excited to solve real‑world engineering problems in the field.
  • An engineer who thrives in ambiguity and can adapt quickly to evolving customer needs.
  • A collaborative team player who can work effectively with customers, engineers, and go‑to‑market teams to drive impact.
Location & Travel
  • Sift's headquarters is in Marina Del Rey, CA (Next to LAX). We collaborate in person four times a week—Monday through Thursday—and come together for a full week every two months. We are open to relocating candidates to LA or working from our San Francisco office for the right candidate.
  • Ability to travel 10-15% required. Varies by location and customer needs.

Sift headquarters is located in Los Angeles (Marina del Rey), and we work in a hybrid environment. We work closely with hardware companies building everything from autonomous vehicles to spacecraft, and it's essential to be nearby for site visits and collaboration.

Salary range: $125,000 - $175,000 per year. Plus equity and benefits.

Eligibility

US Person Required: Must be a U.S. Citizen or Green Card Holder due to ITAR (International Traffic in Arms Regulations) / EAR (Export Administration Regulations) compliance requirements.

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