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Senior Data Scientist Machine Learning Jobs in Missouri

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 analytics partner for multiple Fortune 500 companies, enabling them to generate business value from ...

GRVTY

Senior Data Scientist

Saint Louis, MO · On-site

What Impact You'll Have We are seeking a Senior Data Scientist to support mission-driven analytic ... Experience applying machine learning or artificial intelligence techniques to intelligence problems.

GRVTY

Senior Data Scientist

Saint Louis, MO

What Impact You'll Have We are seeking a Senior Data Scientist to support mission-driven analytic ... Experience applying machine learning or artificial intelligence techniques to intelligence problems.

Brewer Science

Data Scientist

Rolla, MO · On-site

... senior data scientists. • Communicate data findings and suggest potential improvements to ... machine learning (ML) and/or artificial intelligence (AI) algorithms. • Apply and integrate a ...

Munich Re

Data Scientist

Kansas City, MO · On-site +1

Drive the future of AIpowered decisionmaking by leading sophisticated machine learning and GenAI ... In this role, you'll collaborate closely with senior data scientists to build and support AI/ML and ...

Jobgether

$225K - $250K/yr

This is a high-impact opportunity for a senior data science professional to help shape the future of statistical modeling and machine learning in residential real estate valuation. You will work ...

Jobtailor

Senior Data Scientist

California, MO · On-site

$120 - $180/hr

Conduct machine learning or statistical analyses, and build pragmatic, scalable, and statistically ... data science experience; or a Master's degree in a technical field + 4+ years of post‑grad ...

BioFire Diagnostics

Sr. Data Scientist

Hazelwood, MO · On-site

Algorithm design will involve image processing and machine learning methodologies from design to ... The Data Scientist is expected to prototype and design to the goals of functionality and ...

bioMerieux

Sr. Data Scientist

Hazelwood, MO

Algorithm design will involve image processing and machine learning methodologies from design to ... The Data Scientist is expected to prototype and design to the goals of functionality and ...

Kohl's

Develop and implement statistical and machine learning models to solve business problems within a cross-functional team * Collaborate with senior data scientists to fine-tune, optimize and ensure the ...

Boeing

Senior Data Engineer

Hazelwood, MO · On-site

$100K - $135K/yr

Senior Data Engineer Company: The Boeing Company Boeing Defense, Space & Security (BDS) is hiring a ... Provide technical leadership to team of data scientists * Implement and deploy machine learning ...

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All JobsData Scientist Machine Learning JobsSenior Data Scientist Machine Learning JobsSenior Data Scientist Machine Learning Jobs in Missouri

Senior Data Scientist Machine Learning information

See Missouri salary details

$87.5K

$119.3K

$140.2K

How much do senior data scientist machine learning jobs pay per year?

As of Aug 23, 2026, the average yearly pay for senior data scientist machine learning in Missouri is $119,275.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,199.00 and $131,938.00 per year, depending on experience, location, and employer.

What does a senior data scientist specializing in machine learning do?

A Senior Data Scientist in Machine Learning leads the development, implementation, and optimization of advanced statistical and machine learning models to solve business problems. They analyze large, complex datasets, design predictive algorithms, and collaborate with cross-functional teams to integrate models into production systems. Additionally, they mentor junior data scientists, contribute to setting technical strategy, and often communicate findings to stakeholders to drive data-driven decision-making.

What are the key skills and qualifications needed to thrive as a senior data scientist in machine learning?

To thrive as a Senior Data Scientist in Machine Learning, you need advanced expertise in statistics, programming (Python or R), and machine learning algorithms, typically backed by a relevant degree (such as in computer science or mathematics) and several years of experience. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and cloud platforms (AWS, GCP, or Azure), as well as experience with big data technologies, is essential. Strong problem-solving, communication, and project leadership skills help drive impactful solutions and foster collaboration across teams. These skills ensure the successful design, deployment, and scaling of machine learning models that deliver business value.

How does a senior data scientist specializing in machine learning typically collaborate with cross-functional teams?

Senior Data Scientists in Machine Learning often work closely with product managers, software engineers, and business analysts to understand project goals and translate them into actionable data solutions. They are responsible for communicating complex technical concepts to non-technical stakeholders, ensuring that ML models align with business objectives. Collaboration frequently involves participating in regular strategy meetings, reviewing data pipelines with engineering teams, and providing insights that guide product development. This cross-disciplinary teamwork is essential for successfully deploying machine learning models into production environments.

What is the difference between Senior Data Scientist Machine Learning vs Data Scientist?

AspectSenior Data Scientist Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, Statistics, or related field; experience with ML frameworksBachelor's or Master's in relevant field; foundational knowledge of data analysis
Work EnvironmentAdvanced analytics teams, R&D, product developmentData analysis teams, business intelligence, reporting
Employer & Industry UsageTech companies, finance, healthcare, e-commerceSimilar industries, often entry to mid-level roles

The main difference is that Senior Data Scientist Machine Learning roles require more experience, advanced skills in ML frameworks, and often involve leading projects. Data Scientists typically focus on data analysis and reporting with less emphasis on complex ML models. Senior roles also tend to involve mentorship and strategic input.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Missouri?

The most popular types of Data Scientist Machine Learning jobs in Missouri are:

What cities in Missouri are hiring for Senior Data Scientist Machine Learning jobs?

Cities in Missouri with the most Senior Data Scientist Machine Learning job openings:

Senior Data Scientist Machine Learning jobs near you

Senior Data Scientist

Tiger Analytics Inc.

Saint Louis, MO • On-site

Full-time

Re-posted 18 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.