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Data Science Manager Jobs in Wichita, KS (NOW HIRING)

Manager of Fraud Analytics REPORTS TO : VP of Credit Risk & Analytics WHO WE ARE: Nuvative is a ... Collaborate closely with the Data Science team in the development of models & analytics to detect ...

Manager of Fraud Analytics REPORTS TO : VP of Credit Risk & Analytics WHO WE ARE: Nuvative is a ... Collaborate closely with the Data Science team in the development of models & analytics to detect ...

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

... manage technical debt Cloud, Data & AI Enablement * Architect secure workloads on AWS/Azure ... Master's degree in: Computer Science, Information Systems, Business Administration with a ...

TEAS Tutor

Wichita, KS · Remote

$18 - $40/hr

Guides students through interpreting scientific data, converting measurement units, solving algebraic equations, analyzing sentence structure, and managing time across four test sections. Emphasizes ...

Senior Wetland Scientist

Wichita, KS · On-site

$81K - $111K/yr

Prepare and manage data, reports, and tables for client and agency submission. * Utilize GPS and ... Master's degree in environmental science, ecology, botany, soil science, or a related field.

... consistently manage cloud resources. Data & AI Architecture: Architect scalable, secure data ... teams and data science/analytics business units. Pratt is America's 4th largest corrugated ...

Senior AWS Cloud Architect

Park City, KS · On-site

$58 - $76/hr

... manage cloud resources. • Data & AI Architecture: Architect scalable, secure data platforms ... teams and data science/analytics business units. Pratt is America's 4th largest corrugated ...

GIS Crime Analyst

Wichita, KS · On-site

$30.13 - $42.58/hr

Extract and analyze data from the records management system relating to criminal activity and ... Social Sciences * Data science * GIS * Geography * Business Analytics * Mathematics * I have ...

Showing results 21-40

Data Science Manager information

See Wichita, KS salary details

$27.7K

$86.9K

$153.9K

How much do data science manager jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data science manager in Wichita, KS is $86,906.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $112,300.00 per year, depending on experience, location, and employer.

What does a data science manager do?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a data science manager?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring timely delivery of data-driven solutions.

What skills and qualifications are needed to be a data science manager?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

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 job categories do people searching Data Science Manager jobs in Wichita, KS look for? The top searched job categories for Data Science Manager jobs in Wichita, KS are:
What cities near Wichita, KS are hiring for Data Science Manager jobs? Cities near Wichita, KS with the most Data Science Manager job openings:
Infographic showing various Data Science Manager job openings in Wichita, KS as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, 1% Temporary, and 1% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $86,906 per year, or $41.8 per hour.

Fraud & Analytics Manager

Nuvative Inc

Wichita, KS • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

DEPARTMENT: Analytics

JOB TITLE: Manager of Fraud Analytics

REPORTS TO: VP of Credit Risk & Analytics


WHO WE ARE: Nuvative is a parent company that is helping businesses meet their goals through innovative technology and impactful employees. To recruit and retain top-notch talent, we consciously work to make and keep Nuvative an employer of choice. We provide our employees with a culture of kindness, fairness, learning and development, contribution, collaboration, diversity, innovation and fun.

JOB PURPOSE: The Fraud Manager is a leadership position within the Analytics Department. This is a hands-on, strategic-thought role with a focus on fraud (detection, prevention, investigation, & analysis) from application to payment collection. The Fraud Manager's key objectives are to minimize the impact of fraud, prevent loss, provide underwriting modeling support, & forecasting in coordination with the analytics/underwriting teams & operations teams. The Fraud Manager will also work closely with other teams throughout the organization to find & reduce incidents of fraud in acquisition sources, applications, & within the current customer base. This position will be responsible for organizing the fraud team, summarizing information, & ensuring fraud-related tasks are handled in a timely manner.

RESPONSIBILITIES

  • Lead a team of fraud specialists in their day-to-day fraud sweep process to monitor applications for suspicious activity, ensuring the fraud team stays on task.
  • Collaborate with the VP of Credit Risk & Analytics to proactively build the Fraud strategy roadmap that includes the assessment & mitigation of fraud on new applications, card/ACH loan funding, account takeover, & payment collections.
  • Proactively analyze fraud patterns, develop fraud prevention strategies, & implement strategies to prevent loss due to fraud. Evaluate multiple data sets to surface patterns of fraud & risk.
  • Lead in researching, analyzing, & automating fraud & risk detection processes.
  • Monitor current risk metrics & create new KPIs to monitor & track fraud prevention efforts, losses, disruptions caused, fraud rates, & overall impact to the company.
  • Continually assess emerging fraud threats & proactively analyze strategies & controls to mitigate fraud risk.
  • Build monitoring & alerting systems to track the impact & continued effectiveness of controls in place.
  • Using data to quantify, prioritize & conduct root cause analysis of risk vectors through detailed analysis & testing. Then report on findings & recommendations.
  • Perform ongoing research into fraud solutions as it applies to the business. Initiate & lead data study efforts related to potential solutions from 3rd party vendors.
  • Collaborate closely with the Data Science team in the development of models & analytics to detect & mitigate fraud risk.
  • Work within the Analytics department & interdepartmental partners to turn insights into effective fraud risk mitigation solutions.
  • Work closely with the Sr. BI Analyst & appropriate resources within the Legal & Compliance department to develop & maintain policies to support compliance & compliance issues related to UW, data, & fraud.
  • Lead business analysis for collections studies, including identifying, validating, & reporting on account payment fraud.
  • Work with key stakeholders in collections to help define key success factors, critical needs, & solutions to ensure success for the collections department.
  • Other duties as assigned.


QUALIFICATIONS

  • A bachelor's degree in a related field, &/or commensurate work experience. Experience with fraud & risk management is strongly preferred.
  • Advanced SQL experience preferred.
  • Working knowledge of financial products, processes, & procedures preferred.
  • Exceptional verbal & written communication skills, effective data storytelling.
  • Strong analytical & problem-solving skills using data to identify gaps, & surface mitigation opportunities.
  • Proficiency leveraging large datasets to drive business decisions.
  • Ability to work effectively both within the department as well as interdepartmentally.
  • Ability to balance strategic priorities with tactical actions.
  • Robust analytical skills & high attention to detail with the ability to interpret data, organize information, & summarize findings.
  • Ability to understand the scope of issues big & small when relaying information.
  • Ability to dive-in to day-to-day workings of multiple processes & understand the full scope of their functions & responsibilities.
  • Demonstrated history of seeing the big picture, driving change, & managing results while executing against multiple competing priorities simultaneously.
  • A self-starter with the ability to independently manage work & drive multiple deliverables concurrently.
  • Intellectual curiosity & desire to identify problems & collaborate with stakeholders to find & execute a solution.

WHY WORK FOR US: At Nuvative, you’ll find an environment where our team is the core of what we do! Where excellent work is rewarded, and experience is valued. Nuvative offers competitive wages to qualified individuals and the opportunity to grow professionally and personally through diverse work experiences and hands on training. At the heart of our employee culture are the values that we not only preach, but also practice every day:

  • Initiative: Handling opportunities with confidence and enthusiasm.
  • Persistence: Moving forward in the face of adversity.
  • Teamwork: Uniting the combined effort of our organization.
  • Respect: Considering the feelings of others in your action.
  • Integrity: Maintaining honesty and strong principles.
  • Innovation: Inspiring progress with results and ingenuity.

WHAT WE CAN OFFER YOU:

  • Medical, Dental and Vision insurance.
  • Flexible Spending Account (Medical & Dependant care options available)
  • 401(k)- with match after 6 months of employment
  • Voluntary Life Insurance and AD&D
  • Paid Parental leave (after 1 year)
  • Paid time off
  • Holidays


  • This position is not offering relocation assistance.
  • This position is not offering sponsorship.

The above statements are intended to describe the general nature and level of work performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel in this position.