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Freelance Data Science Startup Jobs in Missouri (NOW HIRING)

Meridial

$8 - $65/hr

With high-quality training data, tomorrow's AI can democratize world-class education, keep pace with cutting-edge research, and streamline problem-solving for scientists and learners everywhere. That ...

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 ...

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 ...

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 ...

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 ...

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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

Bioinformatics Data Scientist Developer

MyGradJob

Saint Louis, MO

Full-time

Re-posted 27 days ago

Job description

Company Description

Benson Hill Biosystems solves the world's greatest challenges by combining plant biology, data analytics and cloud computing.

Job Description

APPLY HERE!!   http://mygradjob.com/job/bioinformatics-data-scientist-and-developer/


The Bioinformatics Data Scientist Developer will design, develop, and maintain a robust, cloud-based computational biology infrastructure as part of the computational biology group at Benson Hill Biosystems. This role has a wide array of responsibilities, from primary data analysis to the management of cloud-based distributed compute systems. The successful candidate will possess a deep understanding of bioinformatic processes, statistics, database design, algorithm development, and the design and implementation of complex computational systems.

Key Responsibilities:

  • Design, develop and deploy cloud-based computational platforms to facilitate the research and development process within the Computational Biology group.
  • Administer cloud based infrastructure and environment.
  • Assist in the design and implementation of data-analysis platforms, pipelines, and provisioning platforms.
  • Assist Computational Biology scientific personnel in leveraging infrastructure resources.
  • Maintain detailed and organized records of project design, implementation, and other materials as needed.
Qualifications

Education and Experience:

  • B.S/M.S. in computer science, bioinformatics, statistics, and/or a related field.
  • Minimum of five years of relevant experience.

Qualifications:

The ideal candidate will have the following knowledge, experience, education, and capabilities:

  • Direct experience with data analytics and visualizations of complex data.
  • Direct experience with plant genomics and genome-scale data analysis.
  • Proven computing and programming skills. Computing skills should include expertise with Unix/Linux environments and distributed and/or virtualized infrastructure.
  • Proven programming skills, including Perl or Python, R, and at least one compiled language.
  • Experience with Amazon Web Services cloud computing infrastructure.
  • Proven expertise with SQL database design, implementation, and maintenance.
  • Excellent oral and written communication skills and the ability to work in a multi-disciplinary setting.
  • A track record of producing deliverables and meeting aggressive and inflexible deadlines.
  • Ability to multi-task and take on new and diverse assignments as necessary in a fast-moving startup atmosphere.
  • Ability to work autonomously and collaboratively as part of a team.
  • Excellent planner, organizer, critical thinker, and problem solver with a demonstrated ability to efficiently execute project tasks.
Additional Information

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

Apply