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Data Science Manager Jobs in Kansas (NOW HIRING)

Varsity Tutors

Data Science Tutor

Overland Park, KS · Remote

$40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Wichita, KS · Remote

$40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Sedgwick

Principal Data Scientist

Overland Park, KS · On-site +1

... efficiency, and risk management. * Serve as the technical authority for complex modeling ... Qualifications * Master's or PhD in Data Science, Statistics, Mathematics, Computer Science ...

Sedgwick

Principal Data Scientist

Wichita, KS · On-site +1

... efficiency, and risk management. * Serve as the technical authority for complex modeling ... Qualifications * Master's or PhD in Data Science, Statistics, Mathematics, Computer Science ...

Ceva Santé Animale

Research Data Scientist

Lenexa, KS · On-site

Manage systems for tracking and controlling master seeds, cells, and sequences in compliance with ... Bachelor's degree in an analytical or life science-related field with 4+ years of related work ...

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Manager, Data Engineering

Kansas City, KS · On-site

Bachelor's degree in computer science or related field * 12 years of industry experience, with 4 most recent years as a hands-on manager leading a team on enterprise scale data platform projects * 4 ...

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Manager, Data Engineering

Kansas City, KS · On-site

Bachelor's degree in computer science or related field * 12 years of industry experience, with 4 most recent years as a hands-on manager leading a team on enterprise scale data platform projects * 4 ...

MHC Kenworth

Data Engineer

Leawood, KS · Hybrid

$111.40K - $133.80K/yr

Bachelor's degree in Data Management, Data Science, BI Analytics, or related * Proven expertise in data modeling and data transformation * Strong knowledge of database structure systems and data ...

Murphy-Hoffman Company

Data Engineer

Leawood, KS · On-site

$111.40K - $133.80K/yr

Bachelor's degree in Data Management, Data Science, BI Analytics, or related * Proven expertise in data modeling and data transformation * Strong knowledge of database structure systems and data ...

Ceva Santé Animale

Research Data Scientist

Lenexa, KS · On-site

Manage systems for tracking and controlling master seeds, cells, and sequences in compliance with ... Bachelor's degree in an analytical or life science-related field with 4+ years of related work ...

Murphy-Hoffman Company

Data Engineer

Leawood, KS · On-site

$111.40K - $133.80K/yr

Bachelor's degree in Data Management, Data Science, BI Analytics, or related * Proven expertise in data modeling and data transformation * Strong knowledge of database structure systems and data ...

Murphy-Hoffman

Data Engineer

Leawood, KS · Hybrid

$111.40K - $133.80K/yr

Bachelor's degree in Data Management, Data Science, BI Analytics, or related * Proven expertise in data modeling and data transformation * Strong knowledge of database structure systems and data ...

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$27.6K

$86.6K

$153.4K

How much do data science manager jobs pay per year?

As of May 28, 2026, the average yearly pay for data science manager in Kansas is $86,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,900.00 and $111,900.00 per year, depending on experience, location, and employer.

What is a Data Science Manager job?

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 are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

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 primary responsibilities of a Data Science Manager on a day-to-day basis?

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.
More about Data Science Manager jobs
What are the most commonly searched types of Data Science jobs in Kansas? The most popular types of Data Science jobs in Kansas are:
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Data Science Manager jobs near you
Data Science Manager - AI Trainer

Data Science Manager - AI Trainer

DataAnnotation

Topeka, KS • On-site, Remote

$60/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Join the DataAnnotation team and contribute to developing cutting‐edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning — but these systems still need practitioners with real‐world quantitative experience to validate whether the outputs actually hold up in practice.

That's where you come in. As a member of DataAnnotation's team, you'll work closely with state‐of‐the‐art AI models on tasks like evaluating AI‐generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here.

Some team members fit this work alongside a full‐time role, while others treat it as their primary focus. To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand. Flexible schedule: choose which projects you take on and when you work. Competitive pay: projects are paid hourly, up to $60 USD/hour.

Impact: help shape the future of AI systems built to reason about data and analytics. Responsibilities Evaluate AI‐generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data‐driven insights, for technical accuracy and real‐world validity. Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.

Write clear technical explanations and well‐documented analytical code. Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning. Qualifications 2+ years of hands‐on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.

Some coding experience required, with comfort writing and reviewing analytical code end‐to‐end. Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time‐series forecasting). Fluency in English (native or bilingual level) with strong writing skills.

A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise). Payment is made via PayPal.

We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. #J-18808-Ljbffr

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