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Data Scientist Machine Learning Jobs in Kansas (NOW HIRING)

Role & Team As a Staff Machine Learning Engineer at Overstory, you will lead the development and ... Reporting to our VP of Product Engineering, you'll work closely with data scientists, ML engineers ...

Role & Team We are excited to add a Staff Data Scientist, Wildfire to our team. This individual ... Strong statistical modeling and machine learning skills in Python, with tools like GeoPandas ...

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

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Data Scientist Machine Learning information

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$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.

Principal Data Scientist

Wichita, KS • On-site

Blue Cross and Blue Shield of North Carolina
Insurance Services • 5 - 10K employees

$143K - $229K/yr

Other

Medical, Retirement, PTO

Re-posted 7 days ago


Blue Cross and Blue Shield of North Carolina rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz


Job description

Job Description

The Principal Data Scientist will serve as the principal lead to provide accurate and quality analyses that translate data in sound organizational decisions. In this role you will provide strategic thought leadership and partner with other functional areas to deliver collaborative work products that align with divisional and enterprise strategy. You will own delivery of multiple large and/or complex data science and engineering projects.

What You'll Do

  • Lead in the development and testing of hypotheses across all functional data sets

  • Lead requirements gathering sessions with business and technical staff to distill technical requirement from business requests

  • Define and implement integrated data models, allowing integration of data from multiple sources

  • Design and develop scalable, efficient data pipeline processes to handle data ingestion, cleansing, transformation, integration, and validation

  • Define and implement data stores based on system requirements and consumer requirements

  • Design and develop models to understand and solve multiple complex business solutions using a variety of methods including data mining, statistical analysis, predictive modeling and analysis, stochastic modeling, pattern recognition, probability analysis, and network analysis

  • Design and implement production models leveraging technologies such Python, and R

  • Leverage existing data sets and engineer new data sets including development of SQL queries, data integration and resolution of data quality issues

  • Apply advanced conceptual understanding of Big Data systems to data set engineering and analytic model implementation

  • Lead development and reviews of complex analytic models and algorithms

  • Identify actionable insights, suggest recommendations, and influence business direction by effectively communicating results to cross functional groups

  • Document and test analytic processes including performance and thorough data validation and verification

  • Engage with enterprise business areas to incorporate feedback into audit process including but not limited to Payment Integrity, SIU, Provider, Behavioral Health, Med Policy, Claims, Pharmacy
  • Articulate analytic methods and drive business outcomes with responsible business areas
  • Consult with executive level leadership across the organization- with responsibility to drive CoC ideation for Commercial and Medicare
  • Informally lead other analysts and synthesize information and make recommendations to executive leadership
What You Bring
  • Bachelor's degree or advanced degree (where required)

  • 8+ years of experience in related field.

  • In lieu of degree, 10+ years of experience in related field.

  • Strong Analytic/Data Science skills:

  • Experience with Snowflake

  • Experience building AI Agents

  • Understand Bell curve analysis

  • Incorporate Industry benchmarks into analysis

  • Perform outlier detection

  • Strong healthcare experience with Payment Integrity/FWA business knowledge is required

  • understanding of FWA concepts, CMS guidelines, Medical/Reimbursement Policy are all strongly preferred

Salary Range

At Blue Cross NC, we take great pride in a fair and equitable compensation package that reflects market-price and our starting salaries are typically planned near the middle of the range listed. Compensation decisions are driven by factors including experience and training, specialized skill sets, licensure and certifications and other business and organizational needs.Our base salary is part of a robust Total Rewards package that includes an Annual Incentive Bonus*, 401(k) with employer match, Paid Time Off (PTO), and competitive health benefits and wellness programs.

*Based on annual corporate goal achievement and individual performance.

$143,616.00 - $229,786.00

Skills

Big Data, Complex Data Analysis, Data Analysis, Data Engineering, Data Mining, Data Modeling Techniques, Data Science, Data Visualization, Machine Learning (ML), Predictive Analytics, Predictive Modeling, Python (Programming Language), Statistical Analysis, Statistical Models

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JOB ALERT FRAUD: We have become aware of scams from individuals, organizations, and internet sites claiming to represent Blue Cross and Blue Shield of North Carolina in recruitment activities in return for disclosing financial information. Our hiring process does not include text-based conversations or interviews and never requires payment or fees from job applicants. All our career opportunities are published on https://bcbsnc.wd5.myworkdayjobs.com/en-US/BCBSNC. If you have already provided your personal information that you suspect is fraudulent activity, please report it to your local authorities. Any fraudulent activity should be reported to: HR.Staffing@BCBSNC.com.


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