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Machine Learning Assistant Jobs in Missouri (NOW HIRING)

Drive or assist in engineering scalable, production‑ready software for proven techniques ... Demonstrated experience delivering advanced data mining or machine learning techniques as a lead or ...

$16.92 - $26.44/hr

... including machine learning-guided protein engineering. This position offers an excellent ... The individual may assist with small animal procedures, histology, microscopy, and the development ...

$5.0K - $6.5K/mo

Experience with data products, Big Data environments, BI, analytics, or machine learning teams is ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

What You'll be Owning * Assist the EO lead in conducting assessment of potential differences ... Experience applying CV and machine learning (ML) techniques to EO imagery and data to address ...

Showing results 41-60

Machine Learning Assistant information

What are some common challenges a machine learning assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

What is a machine learning assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.

What are the key skills and qualifications needed to thrive as a machine learning assistant?

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.
What are the most commonly searched types of Machine Learning jobs in Missouri? The most popular types of Machine Learning jobs in Missouri are:
What are popular job titles related to Machine Learning Assistant jobs in Missouri? For Machine Learning Assistant jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Machine Learning Assistant jobs in Missouri look for? The top searched job categories for Machine Learning Assistant jobs in Missouri are:
What cities in Missouri are hiring for Machine Learning Assistant jobs? Cities in Missouri with the most Machine Learning Assistant job openings:
Infographic showing various Machine Learning Assistant job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Sr. Exploitation Specialist/Data Scientist (TS/SCI)

Culmen International LLC

Saint Louis, MO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 16 days ago


Job description

HOT JOB - IMMEDIATE OPENING!!!

Culmen International is hiring Sr. Exploitation Specialist/Data Scientiststo provide support on-site at the National Geospatial-Intelligence Agency (NGA)inSt. Louis, MO., supporting an Analysis Office.

The National Geospatial-Intelligence Agency (NGA) expects to deliver AOS Metadata Cataloging and Management Services to enhance product and asset management of content enabling rapid creation of discoverable, modular, web enabled, and visually enriched Geospatial Intelligence (GEOINT) products for intelligence producers in NGA, across the National System for Geospatial-Intelligence (NSG). 


The Data Scientist will coordinate with our clients to understand questions and issues involving the client’s datasets, then determine the best method and approach to create data-driven solutions within program guidelines. This position will be relied upon as a Subject Matter Expert (SME), and be expected to lead/assist in the development of automated processes, architect data science solutions, automated workflows, conduct analysis, use available tools to analyze data, remain adaptable to mission requirements, and identify patterns to help solve some of the complex problems that face the DoD and Intelligence Community (IC).

  • Work with large structured / unstructured data in a modeling and analytical environment to define and create streamline processes in the evaluation of unique datasets and solve challenging intelligence issues
  • Lead and participate in the design of solutions and refinement of pre-existing processes
  • Work with Customer Stakeholders, Program Managers, and Product Owners to translate road map features into components/tasks, estimate timelines, identify resources, suggest solutions, and recognize possible risks
  • Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data
  • Combine applied mathematics, programming skills, analytical techniques, and data to provide impactful insights for decision makers
  • Research and implement optimization models, strategies, and methods to inform data management activities and analysis
  • Apply big data analytic tools to large, diverse sets of data to deliver impactful insights and assessments
  • Conduct peer reviews to improve quality of workflows, procedures, and methodologies
  • Help build high-performing teams; mentor team members providing development opportunities to increase their technical skills and knowledge

  • Requires TS/SCI Clearance with the ability to obtain a CI/Poly.
  • 10+ years of relevant experience. (A combination of years of experience & professional certifications/trainings can be used in lieu of years of experience)
  • Strong working knowledge and hands-on experience with Esri solutions such as Esri ArcGIS Pro, ArcGIS Online, and secure enterprise Esri portals such as Safehouse and ICGIS.
  • Senior-level proficiency in Python and its data science and visualization ecosystem, including Pandas, NumPy, SciPy, Matplotlib, Plotly, Dash, Bokeh, and related libraries.
  • Demonstrated experience creating highly customized visualizations and analytic applications to meet unique operational and business requirements.
  • Demonstrated experience automating analytic and business processes using Python and related technologies.
  • Experience applying artificial intelligence and machine learning (AI/ML) techniques to structured and unstructured datasets.
  • 10+ years of relevant experience in data science, advanced analytics, machine learning, data visualization, and business analytics. A combination of experience, professional certifications, and technical training may be considered in lieu of some years of experience.
  • Experience supporting Intelligence Community operations.
  • Demonstrated experience in data mining and developing, maintaining, and manipulating databases.
  • Experience identifying and implementing system enhancements, new capabilities, concept demonstrators, and modernization initiatives.
  • Knowledge of advanced analytic methodologies and experience implementing them to support mission and business objectives.
  • Strong written and verbal communication skills with the ability to explain complex technical concepts in a clear and understandable manner.

  • Possess Master's degree in Data Science or related technical field
  • Experience developing and working with Artificial Intelligence and Machine Learning (AI/ML)
  • Demonstrated experience of advanced programming techniques, using one or more of the following: HTML 5/Javascript, ArcObjects, Python, Model Builder, Oracle, SQL, GIScience, GeospatiavAnalysis, Statistics, ArcGIS Desktop, ArcGIS Server, Arc SDE, ArcIMS.
  • Experience using NET, Python, C++, and/or JAVA programming for web interface development and geodatabase development.
  • Experience building and maintaining databases of GEOINT, SIGINT, or OSINT data related to the area of interest needs.
  • Data Visualization Experience which may include Matrix Analytics, Network Analytics, Graphing Data that assist the analytical workforce in generating common operational pictures depicting fused intelligence and information to support informal assessments and finished products

Culmen International is committed to enhancing international safety and security, strengthening homeland defense, advancing humanitarian missions, and optimizing government operations. With experience in over 150 countries, Culmen supports our clients to accomplish critical missions in challenging environments.

  • Exceptional Medical/Dental/Vision Insurance, premiums for employees are 100% paid by Culmen,

    and dependent coverage is available at a nominal rate (including same or opposite sex domestic partners) 
  • 401k – Vested immediately and 4% match
  • Life insurance and disability paid by the company
  • Supplemental Insurance Available
  • Opportunities for Training and Continuing Education
  • 12 Paid Holidays  

To learn more about Culmen International, please visit www.culmen.com

At Culmen International, we are committed to creating and sustaining a workplace that upholds the principles of Equal Employment Opportunity (EEO). We believe in the importance of fair treatment and equal access to opportunities for all employees and applicants.  Our commitment to these principles is unwavering across all our operations worldwide.

The determination of compensation at Culmen International, LLC is based on various factors such as location, the individual's unique combination of education, knowledge, skills, competencies, clearance level, experience, internal equity, contract-specific affordability, and organizational requirements. The projected compensation range for this position is $120,000-150,000 annually. This estimate represents the typical salary range for this position and is just one component of Culmen's total compensation package for employees.