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Senior Data Scientist Machine Learning Jobs in Springfield, MO

Brookfield

Senior Data Scientist

Springfield, MO

$90.80K - $145K/yr

Applies various ML (machine learning) and advanced analytics techniques to perform classification ... Data Scientist Senior Data Scientist Lead Data Scientist Salary range is $90,800 - $145,000 PLEASE ...

Maximus

AI/ML Software Developer

Springfield, MO · Remote

... data for machine learning pipelines, feature engineering, and model lifecycle management - Implements model monitoring, performance validation, traceability, and reproducibility of AI artifacts ...

New

DataAnnotation

Senior Software Engineer

Springfield, MO · Remote

$40 - $75/hr

... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ... Experience with algorithms, data structures, and debugging workflows * A current, in progress, or ...

VOLT

Machine Operator- Springfield

Springfield, MO · On-site

$21 - $22.50/hr

Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ... You can access our privacy policy at volt-information-sciences-privacy-policy.pdf

Epic

Software Engineer

Springfield, MO · On-site

... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ... Science, Mathematics, Software Engineering, Computer Engineering, or a related field • A history ...

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Senior Data Scientist Machine Learning information

See Springfield, MO salary details

$37.8K

$129.6K

$182.8K

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

As of May 30, 2026, the average yearly pay for senior data scientist machine learning in Springfield, MO is $129,586.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,800.00 and $151,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Data Scientist in Machine Learning, and why are they important?

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 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 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 Springfield, MO? The most popular types of Data Scientist Machine Learning jobs in Springfield, MO are:
What are popular job titles related to Senior Data Scientist Machine Learning jobs in Springfield, MO? For Senior Data Scientist Machine Learning jobs in Springfield, MO, the most frequently searched job titles are:
What job categories do people searching Senior Data Scientist Machine Learning jobs in Springfield, MO look for? The top searched job categories for Senior Data Scientist Machine Learning jobs in Springfield, MO are:
What cities near Springfield, MO are hiring for Senior Data Scientist Machine Learning jobs? Cities near Springfield, MO with the most Senior Data Scientist Machine Learning job openings:
Senior Data Scientist Machine Learning jobs near you

Senior Data Scientist

Brookfield

Springfield, MO

$90.80K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago

Job description

Company

Farm Family

Farm Family specializes in farm and ranch protection with a wide range of products including flexible farm packages, business owner policies, commercial package, workers compensation, commercial auto and select personal auto coverage. Farm Family is a leader in serving the Northeast and Mid-Atlantic markets and is pursuing growth across the U.S. The Farm Family entities are wholly-owned subsidiaries of Clearbrook Group Holdings Inc.


Job Description

PURPOSE OF THE JOB:

The Senior Data Scientist should be able to work on multiple projects independently and/or collaborate with other team members. The Senior Data Scientist normally receives little instruction on day-to-day work and receives general instructions on new assignments. This position requires the individual to be very analytical, methodical and should have a passion to work with large amounts of data. This position requires the individual to make sure that the analysis and modelling they perform are free from any errors/incorrect inferences.


ESSENTIAL FUNCTIONS:

  • Prioritizes, scopes and manages data science projects and the corresponding key performance indicators (KPIs) for success.

  • Helps to define and communicate governance principles.

  • Generates hypotheses about the underlying mechanics of the business process and tests hypotheses using various quantitative methods.

  • Applies statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), and principal components analysis (PCA).

  • Applies various ML (machine learning) and advanced analytics techniques to perform classification or prediction tasks, Integrate domain knowledge into the ML solution; for example, from an understanding of financial risk, customer journey, quality prediction, sales, marketing. Testing of ML models, such as cross-validation, A/B testing, bias and fairness

  • Understands new data sources and process pipelines, and catalogs/documents them, acquires access to various databases, and other source systems such as SQL or graph databases.

  • Trains other business and IT staff on basic data science principles and techniques.

  • Networks with internal and external partners.

  • Promotes collaboration with other data science teams within the organization (if there Is a decentralized data science practice).

QUALIFICATIONS:

  • Bachelor's Degree in Computer Science, Statistics, Applied Math or related field.

  • Five years of experience as a Data Scientist in a reputed organization.

JOB FAMILY:

Data Scientist

Senior Data Scientist

Lead Data Scientist

Salary range is $90,800 - $145,000

PLEASE NOTE:

Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas.

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Benefits and Compensation

We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program-including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.

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