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

Stay current with the latest developments in data science and apply best practices to solve business challenges. * Contribute using SQL and Python languages to the design, development, and ...

Stay current with the latest developments in data science and apply best practices to solve business challenges. * Contribute using SQL and Python languages to the design, development, and ...

Data Engineer

Wichita, KS ยท On-site

$113K - $135K/yr

You will be responsible for designing, developing, and deploying data pipelines to ensure the smooth flow of clean, consistent, and high-quality data to our data scientists, analysts, and other ...

Data Engineer

Wichita, KS ยท On-site

$102K - $123K/yr

You will be responsible for designing, developing, and deploying data pipelines to ensure the smooth flow of clean, consistent, and high-quality data to our data scientists, analysts, and other ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of the operations team in one of the various laboratories across Element, the Data Processer position ...

Data Engineer

Wichita, KS ยท On-site

$102K - $123K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

TSMG Holding is seeking AI/ML Data Contributors to support various projects across the United States. In this role, you will assist in improving machine learning models through tasks such as data ...

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Showing results 1-20

Weekend Data Science information

See Wichita, KS salary details

$33.5K

$109.8K

$175.8K

How much do weekend data science jobs pay per year?

As of Jul 27, 2026, the average yearly pay for weekend data science in Wichita, KS is $109,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,100.00 and $121,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Weekend Data Scientist, and why are they important?

To thrive as a Weekend Data Scientist, you need strong analytical skills, proficiency in statistics, and expertise in programming languages such as Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau) is typically required. Excellent time management, problem-solving ability, and effective communication are crucial soft skills for delivering insights on tight weekend deadlines. These skills ensure that data-driven decisions can be made efficiently and accurately, even within limited time frames.

What is a Weekend Data Science job?

A Weekend Data Science job typically refers to a part-time or contract-based data science position where the primary work hours are on weekends. These roles are ideal for students, professionals seeking extra income, or those looking to gain experience in the data science field without committing to a full-time weekday schedule. Weekend data scientists analyze data, build models, and generate insights just like full-time data scientists but with flexible or reduced hours that fit around a weekend schedule.

What are some typical challenges faced by data scientists working specifically on weekends, and how can they be managed?

Data scientists working weekend shifts often encounter challenges such as limited access to colleagues for collaboration or support, since many team members may not be available outside standard business hours. Additionally, urgent issues or data anomalies may require quick, independent problem-solving. Proactive communication with weekday teams, thorough documentation, and setting up clear protocols for handoffs can help manage these challenges and ensure smooth workflow continuity.

What is the difference between Weekend Data Science vs Part-Time Data Analyst?

AspectWeekend Data SciencePart-Time Data Analyst
CredentialsTypically requires a degree in data science, statistics, or related fieldOften requires a degree or relevant experience in data analysis or related fields
Work EnvironmentProject-based, flexible hours, often remote or on-site during weekendsFlexible hours, may be remote or on-site, often with less technical complexity
Industry UsageUsed in tech, finance, healthcare, and startups for specialized projectsCommon in retail, marketing, and small businesses for routine data tasks

Weekend Data Science roles focus on complex data projects requiring advanced skills, often during weekends, while Part-Time Data Analysts handle routine data tasks with less technical depth, offering flexible schedules. Both roles serve different needs but share a focus on data work outside standard hours.

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 Weekend Data Science jobs in Wichita, KS? For Weekend Data Science jobs in Wichita, KS, the most frequently searched job titles are:
Infographic showing various Weekend Data Science job openings in Wichita, KS as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 1% Temporary, and 5% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $109,802 per year, or $52.8 per hour.
Data Scientist

Data Scientist

Nuvative Inc

Wichita, KS โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Job description

DEPARTMENT: Analytics

JOB TITLE: Data Scientist

REPORTS TO: Director of Analytics


WHO WE ARE: 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, innovative and fun.

JOB PURPOSE: A Data Scientist at Nuvative, Inc. will have a strong background in data analysis, statistical modeling, and machine learning, with a passion for leveraging data to drive business decisions. As a Data Scientist at Nuvative, Inc., you will play a key role in analyzing large datasets, developing predictive models, and providing actionable insights to improve our products and services. The Data Scientist also works closely with the other Data Scientists on analysis and prediction of trends while supporting cross-functional teams on the day-to-day delivery of projects and initiatives.

ESSENTIAL EXPERIENCE, DUTIES and RESPONSIBILITIES

Data Scientist

RESPONSIBILITIES

  • Analyze large, complex datasets to identify trends, patterns, and insights.
  • Develop predictive models to forecast customer behavior and optimize business outcomes.
  • Collaborate with cross-functional teams to design and implement data-driven solutions.
  • Turn data into insight: segment, cluster, model and mine to better understand behaviors, trends, & performance shortfalls.
  • Find, clean, and integrate data into usable and helpful information.
  • Communicate findings and recommendations to stakeholders in a clear and concise manner.
  • Stay current with the latest developments in data science and apply best practices to solve business challenges.
  • Contribute using SQL and Python languages to the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
  • Identify gaps in current data systems, drive and contribute to development of systems to bridge gap.
  • Plans and executes ongoing strategies including maximization of technologies and processes.
  • Responding with urgency to high priority requests from senior business leaders.
  • Take initiative to make things better and provide solutions for challenges.
  • Anticipate operational needs based on volume/expansion and make recommendations.
  • Drive change โ€“ produce clear, understandable visualizations and reports to share with Senior Management.
  • Any other duties as assigned.

QUALIFICATIONS

  • BS, MS or PhD in Data Science, Analytics, Statistics, Applied Mathematics, or a related field (with a minimum of 3 years of experience preferred).
  • In depth knowledge and understanding of finance and loan underwriting desired.
  • Background in data mining, machine learning, statistical analysis, and modeling.
  • Strong SQL abilities and experience with massive relational database systems.
  • Programming skills in R or Python and experience with related machine learning packages.
  • Proven track record of assisting business decisions with accurate data and analysis.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.

COMPETENCIES

  • Ability to produce significant output with minimal waste of effort.
  • Plans, organizes, and schedules time in an efficient, productive manner.
  • Ability to structure and process qualitative or quantitative data and draw insightful conclusions from it. Exhibits a probing mind and achieves penetrating insights.
  • Not allowing crucial details to slip through the cracks or derail a project.
  • Reaches out to peers and cooperates with supervisors to establish an overall collaborative working relationship.
  • Ability to communicate well, including the ability to take complex topics and create relatable narratives for different audiences.
  • A decisive individual with excellent organizational skills and the ability to multi-task effectively

WHY WORK FOR US: At Nuvative, youโ€™ll find an environment where our team is the core of what we do and good work is rewarded and growth 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. The heart of our employee culture are the values that we not only preach, but also practice everyday:

  • 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- Health & Dependent Care available
  • 401(k)- with employer match
  • Voluntary Life Insurance and AD&D
  • Paid time off
  • Holidays
  • Paid Parental leave (after a year)
  • Monthly Company Paid lunch


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.