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Data Scientist Machine Learning Jobs in Kansas (NOW HIRING)

Staff Data Scientist

Newton, KS · On-site

$160K - $240K/yr

Partner with machine learning engineering to deploy, version, and monitor production models. * Mentor data scientists and present technical work to leadership and business stakeholders. Additional

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Showing results 21-40

Data Scientist Machine Learning information

See Kansas salary details

$33.4K

$109.5K

$175.2K

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

As of Sep 15, 2026, the average yearly pay for data scientist machine learning in Kansas is $109,464.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,800.00 and $121,300.00 per year, depending on experience, location, and employer.

What is a data scientist machine learning?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the typical day-to-day responsibilities of a data scientist machine learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

What are the key skills and qualifications needed to thrive in the data scientist machine learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

What is the salary of data scientist in machine learning?

The salary of a data scientist specializing in machine learning typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in programming, statistical analysis, and tools like Python or TensorFlow may earn higher compensation.

What are popular job titles related to Data Scientist Machine Learning jobs in Kansas?

For Data Scientist Machine Learning jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Data Scientist Machine Learning jobs in Kansas look for?

The top searched job categories for Data Scientist Machine Learning jobs in Kansas are:

Infographic showing various Data Scientist Machine Learning job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $109,464 per year, or $52.6 per hour.

Staff Data Scientist

Newton, KS • On-site

$160K - $240K/yr

Full-time

Medical, Dental, Life, Retirement

Posted 24 days ago


Job description


Job Summary:

Global Partners is hiring a Staff Data Scientist to be the senior technical individual contributor for pricing and demand science and applied AI in the Central Data and Analytics Organization. Pricing decisions are made every day across our fuel and convenience store business, and this role builds the models, the experiments, and the AI systems that inform them.
The core of the role is demand and price response modeling at scale, delivered as probabilistic forecasts that pricing teams and downstream applications use. You will own the modeling approach, the evaluation that decides whether a model is ready for production, and the path from forecasting toward automated pricing decisions.
Measurement is the other half of the role. You will design and analyze pricing field experiments that establish how demand responds to price, and present the results and their limits to leadership and business stakeholders.
You will also raise the technical standard of the team: defining how AI and agentic systems are evaluated, setting orchestration and observability practices for production workloads, reviewing designs on work delivered by others, and mentoring other data scientists.

At Global Partners, business starts with people. Since 1933, we've believed in taking care of our customers, our guests, our communities, and each other-and that belief continues to guide us.

TheGlobal Spiritis how we work to fuel that long term commitment to success. As a Fortune 500 company with 90+ years of experience, we're proud to fuel communities-responsibly and sustainably. We show up every day with grit, passion, and purpose-anticipating needs, building lasting relationships, and creating shared value.

Job Description:

  • Own demand and price response modeling end to end, from problem framing through production.

  • Deliver probabilistic forecasts at daily and intraday resolution for pricing and planning use.

  • Compare candidate modeling approaches against strong baselines and select on evidence.

  • Define model evaluation and the criteria for promoting a model into production.

  • Advance pricing from forecasting toward automated price recommendation, with appropriate safeguards.

  • Design and analyze pricing field experiments, including power analysis and site selection.

  • Build and deploy agentic and large language model automation for analytical workflows.

  • Define how AI and agentic systems are evaluated, including harnesses, benchmarks, and reusable skills.

  • Set orchestration standards for scheduled model and agent workloads.

  • Establish observability for models and agents in production, covering data quality, drift, cost, and alerting.

  • Serve as technical design reviewer for pricing programs delivered by other teams.

  • Partner with machine learning engineering to deploy, version, and monitor production models.

  • Mentor data scientists and present technical work to leadership and business stakeholders.

Additional Job Description:

  • Bachelor's degree in Computer Science, Statistics, Mathematics, Physics, or related quantitative field required; PhD/Master's degree in Machine Learning, AI, or related discipline preferred.

  • 7+ years of industry data science or machine learning experience, including ownership of production models.

  • Deep expertise in demand forecasting and price response modeling, including probabilistic output and calibration.

  • Experience designing and analyzing field experiments, including power analysis and randomization.

  • Reinforcement learning experience a bonus.

  • Experience building and deploying agentic and large language model automation.

  • Experience evaluating AI systems using harnesses and benchmarks.

  • Expert level Python and SQL, with Git, code review, automated testing, and continuous integration.

  • Experience with a cloud machine learning platform, AWS SageMaker preferred, including model registry, monitoring, and alerting.

  • Experience with a cloud data warehouse, Snowflake preferred, and with transformation and orchestration tooling such as dbt and Dagster.

  • Experience delivering results through BI and application tooling such as Tableau and Streamlit.

  • Experience raising technical quality through specification, design review, and mentoring.

  • Strong written and verbal communication with both technical and business audiences.

  • Domain experience in fuel, retail, or another pricing intensive industry preferred.

Pay Range:

$160,500.00 - $240,800.00

The pay range for this position is outlined above. The final amount offered at the start of employment is determined based on factors including, but not limited to, experience level, knowledge, skills, abilities and geographic location, and the Company reserves the right to modify base salary at any time, including for reasons related to individual performance, Company or individual department/team performance and market factors.

Our Commitments to You

  • Coins!We offer competitive salaries and opportunities for growth. We have an amazing Talent Development Team who create trainings for growth and job development.

  • Health & Wellness- Medical, Dental, Visions and Life Insurance. Along with additional wellness support.

  • The Road Ahead- We offer 401k and a match component!

  • Professional Development- We provide tuition reimbursement; this benefit is offered after 6 months of service.

What to Expect From the Hiring Process

We value passion and potential. Please apply if you're qualified and interested-we'd love to hear from you.

A member of our Talent Acquisition team will review your application and may connect you with the hiring manager if your experience is a strong match.

Interviews are conducted virtually and in person, depending on the role. We'll provide more details about next steps if selected to move forward.

Global Partners LP is an equal opportunity employer. We foster a company culture where ideas from all people help us grow, move and thrive. We embrace the diversity of all applicants and do not discriminate against race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability, protected veteran status or any other basis prohibited by federal, state or local law. If you have a disability and need an accommodation to apply, please contact our recruiting department at 781-747-9675 or 781-7GP-WORK.

*Disclaimer: At Global Partners, we don't use lie detector tests for any employment decisions. We follow all the rules and regulations, so we need to let you know: In Massachusetts, it's illegal to require or administer a lie detector test as a condition of employment of continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.