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Google Data Science Jobs in Kansas (NOW HIRING)

WellSky

Staff Data Engineer

Overland Park, KS · On-site

$2.5K/yr

The scope of this job includes collaborating with data scientists, analysts, solutions partners ... Experience with Google Cloud Platform (GCP) data services * Experience with multi-tenant SaaS ...

WellSky

Staff Data Engineer

Overland Park, KS · On-site +1

The scope of this job includes collaborating with data scientists, analysts, solutions partners ... Experience with Google Cloud Platform (GCP) data services * Experience with multi-tenant SaaS ...

RadNet, Inc.

AI Enterprise Architect

Kansas City, KS · On-site

$120 - $175/hr

Undergraduate degree in Computer Science, Engineering, Data Science, or related curriculum (or ... EEO is the Law ADP Privacy Statement Artificial Intelligence Google Privacy Policy Google Terms of ...

SelectQuote, Inc.

Manager Workflow Analytics

Leawood, KS

$95K - $110K/yr

... Google Suite (PPT, Word) Education and Experience: Bachelor's Degree in Finance, Data Analytics, Data Science, Mathematics, Statistics, Business Administration or related field or equivalent years of ...

New

Wood Plc

Software Development Engineer

Topeka, KS · On-site +1

Intermediate knowledge of HPC / Data Science * Water Resources Engineering Modeling Software ... Familiarity with cloud computing platforms (AWS, Azure, Google Cloud, etc.) * Experience with ...

Varsity Tutors

Data Analysis Tutor

Overland Park, KS · Remote

$18 - $40/hr

Adapts instruction using Excel, Google Sheets, SQL platforms, and visualization tools like Tableau ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Varsity Tutors

Data Analysis Tutor

Wichita, KS · Remote

$18 - $40/hr

Adapts instruction using Excel, Google Sheets, SQL platforms, and visualization tools like Tableau ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

CYNET SYSTEMS

Regulatory Affairs Specialist

Topeka, KS · On-site

$36/hr

... Sciences, or related fields). * Minimum 1+ years of experience in compliance, logistics, or document control. * Proficiency in Google Sheets is required (managing spreadsheets, sorting data, and ...

Colgate-Palmolive Company

Scientist

Topeka, KS · On-site

$76K - $107K/yr

Validate product performance through coordination & interpretation of data from analytical ... Food science knowledge for optimal product design and functionality * Experience designing and ...

Colgate-Palmolive Company

Scientist

Topeka, KS · On-site

$76K - $107K/yr

Validate product performance through coordination & interpretation of data from analytical ... Food science knowledge for optimal product design and functionality * Experience designing and ...

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Google Data Science information

What is a Google data science?

A Google Data Science job involves analyzing large datasets to provide insights and drive data-informed decisions. Data scientists at Google apply statistical modeling, machine learning, and analytical techniques to solve complex problems in products like Search, Ads, YouTube, and Cloud. They work closely with engineers, product managers, and business teams to develop data-driven solutions. Strong coding skills in Python or SQL, experience with big data tools, and a solid foundation in statistics are essential for this role.

What types of projects do Google data science professionals typically work on?

Google Data Science professionals engage in a wide variety of impactful projects, such as optimizing algorithms for product recommendations, improving user experiences through data-driven insights, and developing predictive models to inform business strategies. They often work closely with product managers, engineers, and designers to translate complex data findings into actionable solutions. The work environment is highly collaborative and fast-paced, with opportunities to contribute to innovative initiatives across different Google products and services. This dynamic setting allows data scientists to continuously expand their skill sets and take on new challenges, fostering both personal and professional growth.

What are the key skills and qualifications needed to thrive in the Google data science position, and why are they important?

To thrive as a Google Data Science professional, you need a strong foundation in statistical analysis, machine learning, and data manipulation, often supported by a degree in a quantitative field such as computer science, statistics, or mathematics. Proficiency in programming languages like Python or R, experience with large-scale data processing tools (such as SQL, TensorFlow, or BigQuery), and familiarity with cloud-based platforms are commonly required. Excellent problem-solving, communication, and collaboration skills help set candidates apart in effectively translating complex data insights to varied stakeholders. These capabilities are crucial for driving impactful, data-driven decisions within cross-functional teams at Google.

What are the most commonly searched types of Google Data Science jobs in Kansas?

The most popular types of Google Data Science jobs in Kansas are:

What are popular job titles related to Google Data Science jobs in Kansas?

For Google Data Science jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Google Data Science jobs in Kansas look for?

The top searched job categories for Google Data Science jobs in Kansas are:

What cities in Kansas are hiring for Google Data Science jobs?

Cities in Kansas with the most Google Data Science job openings:

Google Data Science jobs near you
Infographic showing various Google Data Science job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Staff Applied Scientist, AdTech (Columbus)

Socket.dev

Columbus, KS • On-site

Full-time

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

Job description

WHO ARE WE?

Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.

As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.

Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.

WHY JOIN US?

At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.

MUST HAVE:
  • Proven experience in digital marketing, performance marketing, or the leadgen industry
  • Building adtech algorithms and supporting user acquisition or paid media modeling (highly desired)
  • Strong modeling fundamentals: the ability to build effective models that drive business impact
  • Multi-year, hands-on experience building and deploying ML solutions in the AWS cloud
  • Hands-on experience across core technique areas: multi-armed bandit / reinforcement learning, recommendation and ranking systems (content-based, collaborative filtering, hybrid), funnel and monetization optimization, LTV modeling
  • Expert Python and SQL
EXPERIENCE:

5+ years in a hands-on, in-the-weeds applied data science role delivering measurable business impact.

YOUR ROLE

Own the full data science engine for a priority vertical, from business problem to deployed model to live ROAS performance, driving measurable revenue and media efficiency. This is a hands-on, in-the-weeds role: you are heavily immersed in the data and the modeling, framing the business problem directly with stakeholders, building and validating the model, handing the ML-engineering last mile to your ML engineering partner, and staying engaged through deployment, monitoring, and performance analysis.

You will start focusing on Insurance and Advertiser Quality, with scope that broadens over time. Your primary metric is ROAS.

OUTCOMES
  • Own the Insurance vertical's primary modeling work end-to-end with measurable ROAS impact
  • Deliver buying models that maintain positive ROAS and quality
  • Drive lead quality improvements across our portfolio of brands: Messaging, Funnels, Content/Listicles, and more resulting in measurable impact to revenue growth
  • Establish trusted, direct partnership with vertical business stakeholders
  • Produce trusted output: validated, documented, low correction burden
  • Identify and leverage net-new modeling opportunities the business has not flagged
COMPETENCIES
  • Business-first framing: Starts with the problem and the metric, not the model.
  • Full-stack ownership: Stays engaged from problem definition through deployed performance
  • Proactive communication: Closes loops without being chased
  • Collaborative: Leans on ML engineering for the last mile rather than working solo
  • Coachable: Seeks feedback and turns it into visible behavior change
  • Curiosity paired with delivery discipline
NICE TO HAVES
  • Sophisticated ML at companies where paid digital media is core to the business model
  • Creative embeddings work: incorporating embeddings of creatives, videos, headlines, and search into paid media models
  • Insurance domain experience
  • Creating state-of-the-art Ad Ranking algorithms
  • Modeling against ad-platform data points (Google, Meta, native)
  • LLMs / deep learning applied to personalization or content
  • Familiarity with Looker

Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.

We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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