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Data Science Jobs in Hays, KS (NOW HIRING)

This position performs entry to intermediate-level data analysis, supports rate and tariff work, and develops dashboards and reports. The Analyst works with moderate independence and is responsible ...

This position performs entry to intermediate-level data analysis, supports rate and tariff work, and develops dashboards and reports. The Analyst works with moderate independence and is responsible ...

This position performs entry to intermediate-level data analysis, supports rate and tariff work, and develops dashboards and reports. The Analyst works with moderate independence and is responsible ...

... data management, and regulatory readiness while partnering with laboratory supervisors, technical ... Preferred: Associate's or Bachelor's degree in laboratory science. (MLT, MT, MLS) ASCP/AMT ...

... data management, and regulatory readiness while partnering with laboratory supervisors, technical ... Preferred: Associate's or Bachelor's degree in laboratory science. (MLT, MT, MLS) ASCP/AMT ...

RN

Hays, KS ยท On-site

$25 - $36/hr

Collects and assesses initial and on-going data about the health status of the patient. * Initiates ... Graduation from an accredited Bachelors of Science in Nursing, Associate Degree in Nursing or ...

RN

Hays, KS ยท On-site

$25 - $36/hr

Collects and assesses initial and on-going data about the health status of the patient. * Initiates ... Graduation from an accredited Bachelors of Science in Nursing, Associate Degree in Nursing or ...

Collects and assesses initial and on-going data about the health status of the patient. * Initiates ... Graduation from an accredited Bachelors of Science in Nursing, Associate Degree in Nursing or ...

RN

Hays, KS ยท On-site

$25 - $36/hr

Collects and assesses initial and on-going data about the health status of the patient. * Initiates ... Graduation from an accredited Bachelors of Science in Nursing, Associate Degree in Nursing or ...

Collects and assesses initial and on-going data about the health status of the patient. * Initiates ... Graduation from an accredited Bachelors of Science in Nursing, Associate Degree in Nursing or ...

Collects and assesses initial and on-going data about the health status of the patient. * Initiates ... Graduation from an accredited Bachelors of Science in Nursing, Associate Degree in Nursing or ...

RN

Hays, KS ยท On-site

$25 - $36/hr

Collects and assesses initial and on-going data about the health status of the patient. * Initiates ... Graduation from an accredited Bachelors of Science in Nursing, Associate Degree in Nursing or ...

RN

Hays, KS ยท On-site

$25 - $36/hr

Collects and assesses initial and on-going data about the health status of the patient. * Initiates ... Graduation from an accredited Bachelors of Science in Nursing, Associate Degree in Nursing or ...

RN

Hays, KS ยท On-site

$25 - $36/hr

Collects and assesses initial and on-going data about the health status of the patient. * Initiates ... Graduation from an accredited Bachelors of Science in Nursing, Associate Degree in Nursing or ...

Collects and assesses initial and on-going data about the health status of the patient. * Initiates ... Graduation from an accredited Bachelors of Science in Nursing, Associate Degree in Nursing or ...

RN

Hays, KS ยท On-site

Collects and assesses initial and on-going data about the health status of the patient. * Initiates ... Graduation from an accredited Bachelors of Science in Nursing, Associate Degree in Nursing or ...

Collects and assesses initial and on-going data about the health status of the patient. * Initiates ... Graduation from an accredited Bachelors of Science in Nursing, Associate Degree in Nursing or ...

Collects and assesses initial and on-going data about the health status of the patient. * Initiates ... Graduation from an accredited Bachelors of Science in Nursing, Associate Degree in Nursing or ...

RN

Hays, KS ยท On-site

$25 - $36/hr

Collects and assesses initial and on-going data about the health status of the patient. * Initiates ... Graduation from an accredited Bachelors of Science in Nursing, Associate Degree in Nursing or ...

RN

Hays, KS ยท On-site

$25 - $36/hr

Collects and assesses initial and on-going data about the health status of the patient. * Initiates ... Graduation from an accredited Bachelors of Science in Nursing, Associate Degree in Nursing or ...

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Data Science information

See Hays, KS salary details

$34.7K

$113.4K

$181.6K

How much do data science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data science in Hays, KS is $113,443.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $125,700.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What are the most commonly searched types of Data Science jobs in Hays, KS?

The most popular types of Data Science jobs in Hays, KS are:

What cities near Hays, KS are hiring for Data Science jobs?

Cities near Hays, KS with the most Data Science job openings:

Infographic showing various Data Science job openings in Hays, KS as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $113,443 per year, or $54.5 per hour.

Rates and Data Analyst

Midwest Energy, Inc.

Hays, KS โ€ข On-site

Full-time

Posted 4 days ago


Job description

On-Site | Midwest Energy Corporate Office, Hays, KS

Job Summary (Overall Purpose of the Position)

The Rates and Data Analyst provide analytical and reporting support for rate development and implementation as well as supporting analytics needed across customer service operations. This position performs entry to intermediate-level data analysis, supports rate and tariff work, and develops dashboards and reports. The Analyst works with moderate independence and is responsible for transforming raw data into actionable insights, maintaining recurring reports, and contributing to data-driven decision-making. This role supports enterprise analytics efforts by developing meaningful visualizations, ensuring data quality, and assisting in process improvements that strengthen Midwest Energy’s analytics capabilities. At times, the Rates and Data Analyst acts as the customer-facing expert on rates for Midwest Energy.

Job Duties - Responsibilities – Tasks

Rates and Tariff

  1. Assist the Rates and Tariff Manager with data collection and analysis.
  2. Research and resolve issues and questions involving rates and tariffs. Make changes to tariff documents as issues are identified.
  3. Support load forecasting, revenue forecasting, and rate design analyses.
  4. Analyze customer usage patterns, load profiles, customer classes, and seasonal trends using billing and AMI data.
  5. Examine and track external factors affecting energy and gas sales volumes, including weather and economic factors.
  6. Prepare rate comparison analyses and assist Customer Service Representatives with complex billing issues.
  7. Manage the renewable generation interconnection program, guiding customers and vendors through the process, and coordinating with the engineering department for final approval.

Utility Data Analytics

  1. Develop and maintain Excel reports and (ultimately) Power BI dashboards that support Customer Service research.
  2. Perform data cleaning, quality checks, and validation to ensure accuracy of analytics outputs.
  3. Conduct usage trend analysis, load pattern studies, and customer segmentation work under guidance from Rates & Tariff Manager.
  4. Document data workflows, reporting processes, and standard operating procedures.
  5. Assist in enhancing enterprise reporting structures, data governance practices, and routine analytics processes.
  6. Provide ad-hoc insights and data summaries for management, rate design, outage analysis, and customer programs.

General

  1. Participate in special projects that involve data analysis, reporting improvements, or new analytics initiatives.
  2. Build effective working relationships with internal departments to understand data needs and deliver timely information.
  3. Promote safe working habits and follow all safety rules and regulations of Midwest Energy.
  4. Maintain awareness of changes in local, state, and federal rules that may impact Midwest Energy.
  5. Build internal and external relationships to enhance data-sharing, communication, and effective customer service.
  6. Perform other duties as assigned.

Education and Experience

  1. Bachelor’s degree in analytics, economics, business, accounting, engineering, information systems, or related field; or equivalent combination of education and relevant work experience.
  2. 1–3 years of experience summarizing data into reports or building simple reports, or a related role preferred. Experience directly in data analytics or business intelligence preferred.
  3. Beginning proficiency with Excel, including summary statistics, formulas, lookups, and data transformation, required.
  4. Ability and wiliness to learn tools such as Power BI and SQL required.
  5. Utility industry experience helpful but not required.
  6. Solid understanding of basic statistics, data validation, and quality control, required.

Key Competencies

  1. Applies sound analytical judgment by reviewing data carefully, identifying patterns or inconsistencies, and using available information to support accurate conclusions.
  2. Demonstrates Intellectual curiosity by asking thoughtful questions and seeking to understand complex data.
  3. Applies a structured approach to problem-solving by gathering relevant information, evaluating possible causes, and supporting data-driven recommendations.
  4. Manages work independently; manages assigned tasks, follows established processes, asks questions when needed, and takes ownership of completing accurate work.
  5. Ability to extract synthesize insights from structured datasets and communicate findings
  6. Ability to manage multiple assignments, meet deadlines, and adapt to shifting priorities.
  7. Effective verbal and written communication with both technical and non-technical audiences.
  8. Models a team-oriented mindset by collaborating with multiple departments to understand data needs and share information.
  9. Takes initiative to improve processes.

Posting Close Date: September 8, 2026

Equal Opportunity Employer