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Director Google Data Science Jobs in Kansas (NOW HIRING)

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 ...

$159K - $285K/yr

... Director of Growth and Data Science in the Experience Foundations organization. This is a founding data science role for our agentic product platform - a next-generation framework that combines ...

Director of Data Engineering We are seeking an experienced Director of Data Engineering responsible ... Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent experience * 8+ ...

Bachelor's degree or higher in Data Science, Statistics, Computer Science, or a related field ... AND direct experience leading direct reports and functional teams * AND leading an institution ...

... data science techniques to cyber use cases across security operations, threat detection, and incident response * Working with technologies such as Databricks for Cyber, AWS Security Lake, Google ...

New

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 ...

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 ...

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 ...

Junior Java/C++ Developer

Olathe, KS · On-site

$63K - $82K/yr

You'll also receive interview coaching, resume optimization, and direct marketing to Fortune 500 ... We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts ...

Emphasizes minimal passage reading, direct data analysis, and recognizing question patterns for maximum efficiency. * Test Strategy & Adaptive Instruction: Familiar with ACT Science time pressure ...

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Director Google Data Science information

How does a Director of Google Data Science typically collaborate with cross-functional teams to drive data-driven decision-making?

As a Director of Google Data Science, you will frequently lead and coordinate with product managers, engineers, designers, and business leaders to translate business goals into actionable data projects. This collaboration involves setting data strategy, defining key metrics, and ensuring that insights are integrated into product roadmaps and business decisions. You’ll also mentor data scientists, facilitate communication between technical and non-technical stakeholders, and help foster a culture of experimentation and innovation. Ensuring alignment across teams and managing priorities is a common challenge, but it’s crucial for maximizing the impact of data science on organizational objectives.

What does a Director of Google Data Science do?

A Director of Google Data Science leads teams of data scientists, analysts, and engineers to drive data-informed decision-making across the company. They are responsible for setting the strategic vision for data initiatives, overseeing the development of machine learning models and analytics solutions, and collaborating with cross-functional teams to solve complex business problems. This role also involves mentoring staff, managing large-scale projects, and ensuring that data practices align with Google's ethical standards and business goals.

What are the key skills and qualifications needed to thrive as a Director of Google Data Science, and why are they important?

To thrive as a Director of Google Data Science, you need deep expertise in statistics, machine learning, and data analytics, typically supported by an advanced degree in a quantitative field and significant industry experience. Mastery of programming languages like Python or R, familiarity with big data platforms (such as BigQuery), and experience with cloud computing tools are essential, along with strong project management skills. Outstanding leadership, communication, and strategic vision are crucial soft skills for guiding teams and collaborating with stakeholders across the organization. These skills and qualities are vital for driving impactful data-driven decisions, fostering innovation, and successfully leading large, diverse data science teams.

Can data scientists make $300k?

Data scientists, including those in senior roles like Director of Data Science, can potentially earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and data analysis, and working at large tech companies or in high-cost-of-living areas. Compensation often includes base salary, bonuses, and stock options, and reaching this level typically requires leadership responsibilities and a strong track record of impact. However, such salaries are not universal and depend on factors like location, industry, and individual expertise.

What is the 80 20 rule in Data Science?

The 80/20 rule in Data Science suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this principle to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency and effectiveness.

What is the difference between Director Google Data Science vs Data Science Manager?

AspectDirector Google Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, overseeing multiple teams, setting visionTeam management, project execution, day-to-day operations
Required CredentialsAdvanced degrees (Master's/PhD), extensive experience in data scienceBachelor's or Master's, strong technical and leadership skills
Work EnvironmentExecutive level, cross-functional collaboration, strategic planningTeam-focused, project management, technical oversight
Industry UsageCommon in large tech companies, corporate R&D divisionsWidely used across tech, finance, healthcare sectors

The main difference between a Director Google Data Science and a Data Science Manager lies in scope and focus. The Director typically handles strategic planning and oversees multiple teams, while the Manager focuses on project execution and team management. Both roles require strong technical backgrounds, but the Director's role is more executive and vision-oriented.

What is a director's salary at Google?

A Director of Data Science at Google typically earns a base salary ranging from $150,000 to $250,000 annually, with total compensation often exceeding $300,000 when including bonuses and stock options. Compensation varies based on experience, location, and performance, and the role requires strong leadership and technical skills in data analysis and machine learning.

How much does Google pay a data scientist?

Google data scientists, including those in senior roles like Data Science Directors, typically earn a base salary ranging from $120,000 to over $200,000 annually, with total compensation often exceeding $250,000 when bonuses and stock options are included. Compensation varies based on experience, location, and level within the company, and roles often require proficiency in machine learning, data analysis, and programming tools like Python or R.
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What cities in Kansas are hiring for Director Google Data Science jobs? Cities in Kansas with the most Director Google Data Science job openings:
Infographic showing various Director Google Data Science job openings in Kansas as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 1% Temporary, and 4% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.

Manager, Data Science & Innovation - Wearable Devices

Colgate-Palmolive Company

Topeka, KS

$140K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Colgate-Palmolive rating

6.4

Company rating: 6.4 out of 10

Based on 23 frontline employees who took The Breakroom Quiz


Job description

Relocation Assistance Offered Within Country
Job Number #174930 - Topeka, Kansas, United States
Who We Are
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!
Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
 

The Manager, Wearables Data Science & Innovation is a key technical leader within the Wearables Data Science and Innovation team, reporting directly to the Director of Wearables Innovation. In this role, you will lead a cross-functional team of scientists and data engineers to extract actionable insights from 24/7 pet wearable sensor data, directly validating product performance and driving corporate strategy. This position offers an exciting opportunity to combine advanced machine learning development with people leadership to shape the future of pet care technology. Ultimately, this role is responsible for translating complex time-series data into credible, high-impact product claims and behavioral insights.

Responsibilities:

  • Lead the technical development lifecycle of advanced machine learning architectures and data pipelines tailored for wearable devices and animal behavior algorithms.

  • Oversee end-to-end ML-Ops, model training, and code quality standards to ensure reliable, on-schedule deployment of data products.

  • Partner with leadership to align the technical roadmap and capability development with broader corporate strategic objectives and long-term vision.

  • Consult on clinical and observational study designs, establishing data collection standards and quality assurance reviews for data annotation pipelines to substantiate product claims.

  • Serve as the primary technical liaison for hardware and firmware development teams to streamline system integrations, data transfer protocols, and troubleshooting.

  • Mentor and develop scientists, data scientists, and engineers, promoting continuous process improvement and a culture of collaborative technical excellence.

Required Qualifications:

  • Master’s degree in Computer Science, Data Science, Computer/Electrical Engineering, Applied Mathematics, or a related technical field.

  • 4+ years of progressive data science experience specifically focused on machine learning, signal processing, and time-series sensor data analysis.

  • Proficiency in Python or equivalent machine learning programming languages, with demonstrated software prototyping capabilities.

  • Proven familiarity with clinical or observational study designs and data collection methodologies used for claim substantiation.

Preferred Qualifications:

  • PhD in Computer Science, Data Science, Electrical Engineering, Applied Mathematics, or a related technical field.

  • Domain-specific expertise in developing machine learning models for animal behavior analysis.

  • Comprehensive knowledge of data platform architecture, cloud infrastructure (AWS, Azure, Google Cloud), CI/CD pipelines, and Git version control.

  • Strong functional competency in translating complex scientific findings into actionable business insights for non-technical stakeholders.

  • Demonstrated alignment with global core competencies, specifically Driving Innovation, Teamwork, and Planning & Priority Setting.

 


Compensation and Benefits
Salary Range $140,000.00 - $160,000.00 USD
Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.
Benefits: Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies.
Our Commitment to Inclusion
Our journey begins with our people—developing strong talent with diverse backgrounds and perspectives  to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.
Equal Opportunity Employer
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.
For additional Colgate terms and conditions, please click here.
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About Colgate-Palmolive

Sourced by ZipRecruiter

Colgate-Palmolive is a leading global consumer products company, tightly focused on Oral Care, Personal Care, Home Care and Pet Nutrition. Colgate sells its products in over 200 countries and territories around the world under such internationally recognized brand names as Colgate, Palmolive, elmex, Tom's of Maine, Sorriso, Speed Stick, Lady Speed Stick, Softsoap, Irish Spring, Protex, Sanex, Elta MD, PCA Skin, Ajax, Axion, Fabuloso, Soupline and Suavitel, as well as Hill's Science Diet and Hill's Prescription Diet.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1806

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