1

Data Science Jobs in Wichita, KS (NOW HIRING)

Computer Science, Information Systems, Business Administration with a Technology or Analytics focus, Data Science or AI (relevant to this role's AI/data initiatives) * 8+ years in software ...

Deep knowledge of life science including plants, animals, and ecosystems, earth science including ... Guides students through forming hypotheses, recording data in journals, comparing and classifying ...

Emphasizes logical thinking and systematic debugging skills and connects programming to web development, data science, game design, and automation applications. * Curriculum Awareness & Adaptive ...

Senior Wetland Scientist

Wichita, KS · On-site

$81K - $111K/yr

Master's degree in environmental science, ecology, botany, soil science, or a related field. * Experience with and proficiency in data entry using ArcGIS tools (FieldMaps and Survey123). * Wetland ...

Machine Learning Tutor

Wichita, KS · Remote

$18 - $40/hr

Ability to explain linear regression, decision trees, random forests, support vector machines, and neural network architectures while preparing students for data science roles and advanced AI ...

Senior AWS Cloud Architect

Park City, KS · On-site

$58 - $76/hr

... operations teams and data science/analytics business units. Pratt is America's 4th largest corrugated packaging company and the world's largest, privately-held producer of 100% recycled ...

Excellent collaboration skills to bridge the gap between technical operations teams and data science/analytics business units. Pratt is America's 4th largest corrugated packaging company and the ...

Algebra 2 Tutor

Wichita, KS · Remote

$18 - $40/hr

Emphasizes pattern recognition and connects abstract concepts to data science and financial mathematics. * Curriculum Awareness & Adaptive Instruction: Familiar with Algebra 2 curricula and common ...

Probability Tutor

Wichita, KS · Remote

$18 - $40/hr

Emphasizes intuitive understanding of randomness and uncertainty, connecting probability theory to insurance, genetics, quality control, and data science applications. * Curriculum Awareness ...

Showing results 41-60

Data Science information

See Wichita, KS salary details

$37K

$121.2K

$194K

How much do data science jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data science in Wichita, KS is $121,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 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 Wichita, KS?

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

What are popular job titles related to Data Science jobs in Wichita, KS?

For Data Science jobs in Wichita, KS, the most frequently searched job titles are:

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

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

Infographic showing various Data Science job openings in Wichita, KS as of August 2026, with employment types broken down into 4% Internship, 83% Full Time, 9% Part Time, and 4% Contract. Highlights an 100% In-person job distribution, with an average salary of $121,156 per year, or $58.2 per hour.

Senior Solutions Architect

Equity Bank

Wichita, KS • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago


Equity Bank rating

5.3

Company rating: 5.3 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

165th of 171 rated banks


Job description

Position: Senior Solutions Architect
Department: IT
Location: Wichita, KS (On-Site)
Job Type: Full-Time/Salary
Jump start your career at Equity Bank! We are currently hiring energetic, team oriented, and community focused individuals to join our team! With a team of best-in-class customer service experts, you'll help to build and expand on client relationships, deliver the banking products and services that meet the unique and individual needs of clients, and create and uphold an atmosphere of superior experience and service. At Equity Bank we'll help you invest in your community through volunteer opportunities which align with our company initiatives and core values
Summary
The Senior Solutions Architect is a strategic, hands-on leader who designs and guides delivery of complex, secure, and scalable solutions across core banking, digital channels, integration platforms, data/AI, and cloud infrastructure. You will translate business objectives into well-architected solutions, ensure alignment with enterprise standards, and provide technical leadership from discovery through production.
This role is designed to support Equity Bank's ongoing modernization and AI/data initiatives-e.g., cloud adoption, API-first integration, and secure data platforms-while maintaining regulatory compliance and operational resilience.
Responsibilities and Expectations
Key Responsibilities
Solution Architecture & Design
  • Lead end-to-end solution design (conceptual, logical, physical) for customer-facing and back-office systems across banking domains (deposits, lending, digital account opening, payments)
  • Define integration approaches (REST APIs, event streaming, ETL/iPaaS, ESB) and canonical data models to reduce duplication and enable reuse
  • Produce and maintain architecture artifacts (diagrams, interface contracts, decision records, threat models) aligned to ETS standards

Delivery Leadership
  • Partner with product owners, engineering, InfoSec, and vendors to decompose requirements, estimate, and plan delivery (PoC → MVP → scale)
  • Provide deep technical guidance during build and cutover; remove delivery impediments, ensure NFRs (performance, availability, resilience, observability) are met
  • Govern design quality through reviews and automated checks; approve solution deviations and manage technical debt

Cloud, Data & AI Enablement
  • Architect secure workloads on AWS/Azure (identity, networking, storage, container orchestration), leveraging landing zone patterns
  • Design data pipelines and interfaces to enterprise data platforms (warehouse/lakehouse) to support analytics and AI use cases; apply data governance controls
  • Collaborate on MLOps patterns (feature stores, model deployment/monitoring) where applicable; ensure responsible AI and model risk controls

Security, Risk & Compliance
  • Embed security-by-design (Zero Trust, encryption, secrets management, certificate management/PKI) and align to GLBA, PCI, SOC, and internal audit findings
  • Conduct architecture risk assessments, threat modeling, and support remediation plans; ensure audit-ready documentation

Standards, Governance & Vendor Management
  • Champion architecture principles, patterns, and ETS standards; propose updates based on lessons learned
  • Evaluate third-party and SaaS solutions; lead RFP/RFI technical sections, compare alternatives, and negotiate technical clauses with vendors

Coaching & Cross-Functional Influence
  • Mentor engineers and junior architects; raise the bar on documentation, testing, automation, and observability
  • Communicate architectural decisions to executives and business stakeholders in business terms; align roadmap items to measurable outcomes

Required Skills & Education
Requirements
  • Master's degree in: Computer Science, Information Systems, Business Administration with a Technology or Analytics focus, Data Science or AI (relevant to this role's AI/data initiatives)
  • 8+ years in software/integration architecture or senior engineering, with 3+ years designing enterprise-scale solutions
  • Expertise in at least two of the following:
    • Cloud: AWS/Azure (networking, IAM, containers, serverless, storage)
    • Integration: REST/GraphQL APIs, event streaming (Kafka), ESB/iPaaS, ETL
    • Data: warehouse/lakehouse architecture, data pipelines, governance
    • Security: Zero Trust, PKI/certificates, encryption, secrets mgmt, vulnerability management
  • Strong proficiency with architectural documentation and tooling (UML/C4, ADRs, IaC patterns)
  • Demonstrated experience in regulated environments (financial services preferred)
  • Systems thinking; ability to simplify complex ecosystems
  • Executive communication; influence without authority
  • Pragmatic decision-making balancing resilience, cost, and speed
  • Leadership in cross-functional delivery and vendor orchestration

Preferred
  • Bachelor's degree in: Computer Science, Information Technology, Software Engineering, Information Systems, Computer Engineering, or a closely related technical field
  • Certifications: AWS/Azure Solutions Architect, TOGAF, CKAD/CKA, CISSP or equivalent.
  • Experience with core banking platforms and digital onboarding/origination flows; familiarity with payments (e.g., Zelle, ACH, wires) and fraud controls

Who We Are
Equity Bank, a full-service, $7.9 billion community bank, is based in Wichita, Kansas, with over 80 bank offices throughout Kansas, Nebraska, Missouri, Arkansas, and Oklahoma.
At Equity Bank, you can find exciting opportunities to challenge you, expand your skills, and reward your contributions. Our employees receive competitive compensation and benefits, while working in an atmosphere that encourages personal and professional growth. We're searching for motivated individuals who are passionate about serving others, learning new technologies, and working as part of a team.
Equity Bank offers a full range of financial solutions, including online and mobile banking, commercial loans, consumer banking, and mortgage loans, treasury management service, the best solutions for your business, and absolutely zero ATM fees, anywhere.
What's in it for you?
We believe your benefits are an important part of your overall compensation package. We work year-round to ensure that we provide our employees with the most up-to-date, competitive program. We thoroughly evaluate our benefit plans and strive to provide quality benefits that support the physical and financial well-being of our employees and their families.
Benefits Available:
  • Health, Dental & Vision Insurance
  • Group Life & Long-Term Disability Insurance
  • Flexible Spending & Health Savings Accounts
  • Group Cancer Insurance
  • 401(K) Retirement Plan w/Company Match
  • Generous Vacation & Sick Time
  • Employee Stock Purchase Plan (ESPP)
  • Pet Insurance
  • Retail Banking Benefits

Find your future at Equity Bank!
The above statements are intended to generally describe the nature and level of work to be performed by most people assigned to this job. It is not intended as an exhaustive list of all responsibilities, duties, and requirements.
Physical Requirements
This position requires standing, walking, bending, and squatting on a regular basis. May require the ability to stoop, kneel, crouch or reach with hands and arms. Requires the ability to carry, lift, move or push up to 25 pounds on an occasional basis. Must be able to talk and listen to others.
Work Environment
This position regularly works in an office setting. Most of the job duties require the employee to be working with computers and electronic media on a regular basis.
Equity Bank is an equal opportunity employer and will not make employment decisions based on an applicant's race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

What Equity Bank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom