ZipRecruiter

Log In

1

Machine Learning Quantum Computing Jobs in Saint Louis, MO

Bruker

Scientist, Bioinformatics

Saint Louis, MO · On-site

... computing environments is a plus. Industry experience is not required Demonstrated ability to ... Hands-on experience developing machine-learning or deep-learning models (training, evaluation, and ...

UNAVAILABLE

Scientist, Bioinformatics

Saint Louis, MO · On-site

... computing environments is a plus. Industry experience is not required Demonstrated ability to ... Hands-on experience developing machine-learning or deep-learning models (training, evaluation, and ...

Saint Louis University

Post Doctoral Fellow

Saint Louis, MO · On-site

$47K - $64K/yr

Develop and apply statistical and machine-learning models(e.g., mixed-effects models, survival ... Proficiency in R and/or Pythonfor statistical computing and data analysis * Solid foundation in ...

GRVTY

Senior Data Scientist

Saint Louis, MO · On-site

Experience applying machine learning or artificial intelligence techniques to intelligence problems. * Experience working with cloud-based data platforms and distributed computing environments.

GRVTY

Senior Data Scientist

Saint Louis, MO

Experience applying machine learning or artificial intelligence techniques to intelligence problems. * Experience working with cloud-based data platforms and distributed computing environments.

Saint Louis University

Post Doctoral Fellow

Saint Louis, MO · On-site

$47K - $64K/yr

Develop and apply statistical and machine-learning models (e.g., mixed-effects models, survival ... Proficiency in R and/or Python for statistical computing and data analysis * Solid foundation in ...

Varsity Tutors

Statics Tutor

Saint Louis, MO · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... machines, centroids, moments of inertia, friction, and distributed forces. Ability to explain ...

Booz Allen Hamilton, Inc.

Data Engineer

O Fallon, IL · On-site

$61K - $141K/yr

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there ... Experience with distributed data or computing tools such as Spark, Databricks, Hadoop, Hive, AWS ...

previous page

Showing results 41-60

All JobsMachine Learning Quantum Computing JobsMachine Learning Quantum Computing Jobs in Saint Louis, MO

Machine Learning Quantum Computing information

See Saint Louis, MO salary details

$24.8K

$41.4K

$85.6K

How much do machine learning quantum computing jobs pay per year?

As of Aug 13, 2026, the average yearly pay for machine learning quantum computing in Saint Louis, MO is $41,401.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Quantum Computing vs Data Scientist?

AspectMachine Learning Quantum ComputingData Scientist
Required CredentialsAdvanced degrees in quantum computing, machine learning, or related fieldsDegree in data science, statistics, or computer science
Work EnvironmentResearch labs, tech companies focusing on quantum tech, academiaBusiness environments, tech companies, consulting firms
Industry UsageEmerging quantum tech industry, research institutionsFinance, healthcare, marketing, e-commerce
Common Search/ComparisonQuantum algorithms, quantum machine learningData analysis, predictive modeling

Machine Learning Quantum Computing specialists focus on developing algorithms that leverage quantum mechanics to enhance machine learning tasks, often requiring advanced knowledge of quantum physics. Data Scientists analyze and interpret large datasets using traditional machine learning techniques. While both roles involve machine learning, the former emphasizes quantum computing applications, whereas the latter centers on data analysis in conventional computing environments.

What are the key skills and qualifications needed to thrive as a machine learning quantum computing specialist?

To thrive in Machine Learning Quantum Computing, you need strong foundations in quantum mechanics, linear algebra, and advanced machine learning concepts, typically supported by a degree in physics, computer science, or a related field. Familiarity with quantum programming languages (such as Qiskit or Cirq), cloud-based quantum platforms, and proficiency in Python are usually required, alongside experience with relevant certifications or coursework. Strong problem-solving skills, adaptability, and effective collaboration are vital soft skills in this interdisciplinary field. These competencies are crucial for driving innovation and bridging the gap between quantum computing and practical machine learning applications.

How do professionals in machine learning quantum computing typically collaborate with interdisciplinary teams?

Professionals in Machine Learning Quantum Computing often work closely with experts in physics, computer science, and engineering. Collaboration usually involves translating quantum concepts for machine learning specialists and vice versa, ensuring that algorithms are both theoretically sound and practically implementable on quantum hardware. Regular meetings, code reviews, and knowledge-sharing sessions are standard, as interdisciplinary insight is crucial for advancing research and developing scalable solutions. Effective communication and a willingness to learn from other domains are essential for success in these teams.

What is machine learning quantum computing?

Machine Learning Quantum Computing is an interdisciplinary field that combines principles of quantum computing with machine learning techniques. It aims to leverage the computational power of quantum computers to enhance the performance of machine learning algorithms, potentially solving complex problems more efficiently than classical computers. This area includes developing quantum algorithms for tasks such as classification, clustering, and optimization, as well as using machine learning to improve quantum hardware and error correction. Researchers expect that, as quantum hardware matures, this field could revolutionize data analysis, cryptography, and scientific discovery.
What job categories do people searching Machine Learning Quantum Computing jobs in Saint Louis, MO look for? The top searched job categories for Machine Learning Quantum Computing jobs in Saint Louis, MO are:
Machine Learning Quantum Computing jobs near you
Infographic showing various Machine Learning Quantum Computing job openings in Saint Louis, MO as of June 2026, with employment types broken down into 95% Full Time, 4% Part Time, and 1% Nights. Highlights an 73% Physical, 3% Hybrid, and 24% Remote job distribution, with an average salary of $41,401 per year, or $19.9 per hour.

Senior Data Scientist with Security Clearance

GRVTY

Saint Louis, MO • On-site

Other

Posted 28 days ago

Job description

What Impact You'll Have We are seeking a Senior Data Scientist to support mission-driven analytic and modernization efforts across the Intelligence Community. This role leverages advanced analytics, automation, data modeling, visualization, and software development to solve complex intelligence and operational challenges. The ideal candidate is an experienced technical leader who can transform large, complex datasets into actionable intelligence, modernize analytic workflows, and develop scalable solutions that directly support enterprise decision-making and mission success. What You'll Be Doing As a Senior Data Scientist, you will develop advanced analytic solutions that transform complex intelligence data into meaningful insights for mission stakeholders. You will design and implement scalable data pipelines, automation strategies, and analytic processes that enable analysts to identify patterns, trends, and operational opportunities across large, diverse datasets. Working directly with intelligence professionals, you will apply data science techniques to solve challenging mission problems while improving the efficiency, repeatability, and rigor of analytic workflows. You will leverage senior-level Python programming skills to build production-ready tools, automate manual processes, and develop reusable analytic capabilities. Your work will include designing compelling visualizations and dashboards that communicate complex findings in a clear, actionable manner, enabling mission partners to integrate data-driven insights into daily operations and strategic planning. As new requirements emerge, you will rapidly prototype and deploy solutions that support evolving customer needs. Operating in a fast-paced, mission-focused environment, you will independently manage multiple concurrent projects while collaborating with multidisciplinary teams across the Intelligence Community. You will provide technical leadership in the application of modern data science practices, ensuring solutions are scalable, maintainable, and aligned with enterprise modernization initiatives. Through innovation and continuous improvement, you will help advance intelligence capabilities by transforming data into operational advantage. What You Must Have * Active TS/SCI clearance (ability to obtain a CI Poly preferred). * Demonstrated experience supporting intelligence missions through data science, advanced analytics, or intelligence analysis. * Ability to operate independently at a senior level with minimal oversight. * Senior-level proficiency in Python and experience developing production-quality analytic applications and automation solutions. * Demonstrated proficiency designing and implementing scalable processes for large, complex datasets to identify trends, patterns, and analytical discoveries. * Experience developing data models, automation workflows, and repeatable analytic processes. * Experience creating visualizations, dashboards, and data products that effectively communicate complex analytical findings and support operational decision-making. * Experience managing multiple projects and technical initiatives simultaneously in a high-tempo operational environment. * Strong understanding of data analysis, statistical methods, and data-driven problem solving. * Excellent written and verbal communication skills with the ability to present technical concepts to diverse audiences. * Familiarity with common Intelligence Community (IC) data repositories. * Demonstrated ability to collaborate effectively with analysts, engineers, and mission stakeholders to deliver innovative solutions. * Familiarity with geospatial data science, GEOINT workflows, or multi-INT analysis. What Would Be Nice to Have * Experience with additional programming languages or low-code/no-code platforms such as JEMA, Brewlytics, or ArcGIS ModelBuilder. * Experience developing enterprise-level dashboards and data visualization solutions using modern business intelligence tools. * Experience applying machine learning or artificial intelligence techniques to intelligence problems. * Experience working with cloud-based data platforms and distributed computing environments. * Experience mentoring junior data scientists or leading technical modernization initiatives. * Knowledge of DevSecOps principles and modern software development practices.

Apply