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Research Assistant Machine Learning Jobs in Chesterfield, MO

Tiger Analytics, LLC

Senior Data Scientist

Saint Louis, MO · On-site

$90 - $120/hr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... Our business value and leadership has been recognized by various market research firms, including ...

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All JobsResearch Machine Learning JobsResearch Assistant Machine Learning JobsResearch Assistant Machine Learning Jobs in Chesterfield, MO

Research Assistant Machine Learning information

See Chesterfield, MO salary details

$8

$21

$31

How much do research assistant machine learning jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for research assistant machine learning in Chesterfield, MO is $21.68, according to ZipRecruiter salary data. Most workers in this role earn between $18.32 and $25.24 per hour, depending on experience, location, and employer.

What is a research assistant machine learning?

A Research Assistant in Machine Learning supports research projects by implementing algorithms, analyzing data, and conducting experiments to advance AI models. They assist senior researchers by preprocessing datasets, developing machine learning models, and evaluating their performance. Responsibilities may also include coding, literature reviews, and writing research papers. This role is typically found in academia, research labs, or industry R&D teams. Strong programming skills, statistical knowledge, and familiarity with ML frameworks like TensorFlow or PyTorch are essential.

What types of projects might a research assistant machine learning typically work on?

As a Research Assistant in Machine Learning, you may be involved in projects such as developing and evaluating predictive models, processing and analyzing large datasets, and assisting in the publication of research findings. Your work could contribute to applications like natural language processing, computer vision, or recommendation systems, depending on the focus of the research group. You’ll often collaborate closely with senior researchers, data scientists, or PhD students, allowing you to participate in brainstorming sessions, code development, and experimental design. This experience provides valuable exposure to cutting-edge technology and can serve as a strong foundation for a research or industry career in machine learning.

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

To thrive as a Research Assistant Machine Learning, you need a solid understanding of machine learning algorithms, programming skills (especially in Python or R), and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Experience with frameworks such as TensorFlow, PyTorch, and data analysis tools, as well as familiarity with version control systems like Git, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills ensure you can contribute meaningfully to research projects, analyze complex datasets, and communicate findings effectively within interdisciplinary teams.

What are popular job titles related to Research Assistant Machine Learning jobs in Chesterfield, MO? For Research Assistant Machine Learning jobs in Chesterfield, MO, the most frequently searched job titles are:
What job categories do people searching Research Assistant Machine Learning jobs in Chesterfield, MO look for? The top searched job categories for Research Assistant Machine Learning jobs in Chesterfield, MO are:
What cities near Chesterfield, MO are hiring for Research Assistant Machine Learning jobs? Cities near Chesterfield, MO with the most Research Assistant Machine Learning job openings:
Research Assistant Machine Learning jobs near you
Infographic showing various Research Assistant Machine Learning job openings in Chesterfield, MO as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% In-person job distribution, with an average salary of $45,104 per year, or $21.7 per hour.

Senior Data Scientist

Tiger Analytics Inc.

Saint Louis, MO • On-site

Full-time

Re-posted 7 days ago

Job description

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

As a Data Scientist you will be at the forefront of solving high-impact business problems using advanced machine learning, data engineering, and analytics solutions. The role demands a balanced mix of technical expertise, stakeholder management. You will design and analyze A/B tests and apply advanced techniques such as causal inference, matching models, and AutoML to generate reliable, actionable insights. Partnering closely with business and cross-functional teams, you will translate hypotheses into robust analytical models, validate outcomes with statistical rigor, and clearly communicate results to drive data-backed decision-making and measurable business value.

Key Responsibilities

  • Apply statistical techniques and machine learning methods to solve complex business problems.
  • Build, validate, and deploy predictive and analytical models using Python.
  • Perform data extraction, transformation, and analysis using SQL across large datasets.
  • Work on causal inference techniques such as causal ML, matching models, or uplift modeling to evaluate business interventions.
  • Collaborate with product, business, and engineering teams to translate requirements into scalable data solutions.
  • Present insights, findings, and recommendations clearly to technical and non-technical stakeholders.
  • Ensure data quality, model performance, and continuous improvement of analytical workflows.

Requirements

  • 8 years of experience in data science and ML models
  • Hands-on expertise in Python and SQL for data analysis and modelling.
  • In-depth experience with A/B testing or similar methodologies such as Causal ML, Matching Models, or Auto ML.
  • Strong problem-solving skills with the ability to work independently on end-to-end data science projects.
  • Excellent communication skills and stakeholder management experience.
  • Solid understanding of regression, classification, and statistical methods

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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