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Data Science Startup Jobs in Missouri (NOW HIRING)

He's built mobile apps and web apps, worked on a data science team, and founded a VC-backed startup. Was hired as the 5th engineer at Avantos. Favorite movie: The Prestige. (Generally likes anything ...

He's built mobile apps and web apps, worked on a data science team, and founded a VC-backed startup. Was hired as the 5th engineer at Avantos. Favorite movie: The Prestige. (Generally likes anything ...

He's built mobile apps and web apps, worked on a data science team, and founded a VC-backed startup. Was hired as the 5th engineer at Avantos. Favorite movie: The Prestige. (Generally likes anything ...

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Data Science Startup information

What is a Data Science Startup job?

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 the Data Science Startup position, 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:

Bioinformatics Data Scientist Developer

MyGradJob

Saint Louis, MO

Other

Posted 18 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.