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Analytics Data Scientist Jobs (NOW HIRING)

The Data Scientist will partner closely with the Analytics team, HR Business Partners, Centers of Excellence, and HR leadership, to translate workforce and talent questions into highimpact analytical ...

The Data Scientist will partner closely with the Analytics team, HR Business Partners, Centers of Excellence, and HR leadership, to translate workforce and talent questions into highimpact analytical ...

The Data Scientist will partner closely with the Analytics team, HR Business Partners, Centers of Excellence, and HR leadership, to translate workforce and talent questions into highimpact analytical ...

The Data Scientist will partner closely with the Analytics team, HR Business Partners, Centers of Excellence, and HR leadership, to translate workforce and talent questions into highimpact analytical ...

Experience with the analysis of data and creation of data-driven visualizations * Experience in working with artificial intelligence, machine learning, natural language processing, data mining ...

Seattle, WA Duration: 6-12 Months We are seeking an Analytics Lead / Data Scientist to lead enterprise analytics, reporting, and data integration initiatives across a complex technology environment ...

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Analytics Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do analytics data scientist jobs pay per year?

As of Jun 5, 2026, the average yearly pay for analytics data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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

To thrive as an Analytics Data Scientist, you need a strong foundation in statistical analysis, data modeling, and programming languages such as Python or R, usually backed by a degree in a quantitative field. Proficiency with tools like SQL, machine learning frameworks (e.g., scikit-learn, TensorFlow), and data visualization platforms like Tableau is expected. Critical thinking, effective communication, and problem-solving skills help you translate complex data insights into actionable business recommendations. These competencies are essential for driving data-driven decisions that support organizational objectives and innovation.

How does an Analytics Data Scientist typically collaborate with stakeholders across different departments?

Analytics Data Scientists frequently work closely with cross-functional teams, including business analysts, product managers, and IT professionals. They translate complex data findings into actionable insights tailored to each department's goals. Regular communication is essential, as they often present data-driven recommendations to non-technical audiences and adjust their analyses based on stakeholder feedback. This collaborative environment helps ensure that data-driven strategies align with business objectives and drive measurable impact.

What does an Analytics Data Scientist do?

An Analytics Data Scientist uses data analysis, statistical modeling, and machine learning techniques to help organizations extract insights from large datasets. They identify trends, create predictive models, and provide actionable recommendations to improve business outcomes. Their work involves cleaning and processing data, developing algorithms, and presenting findings to stakeholders in a clear and concise manner.

What is the difference between Analytics Data Scientist vs Data Analyst?

AspectAnalytics Data ScientistData Analyst
Required SkillsStatistical analysis, machine learning, programming (Python, R)Data visualization, SQL, basic statistics
Work EnvironmentAdvanced analytics, predictive modeling, data science projectsReporting, data cleaning, descriptive analysis
Common EmployersTech companies, finance, healthcareRetail, marketing, business services

While both roles analyze data to support business decisions, Analytics Data Scientists focus on building predictive models and advanced analytics, whereas Data Analysts primarily handle data reporting and descriptive analysis. The roles often overlap but differ in complexity and technical depth.

More about Analytics Data Scientist jobs
What cities are hiring for Analytics Data Scientist jobs? Cities with the most Analytics Data Scientist job openings:
Infographic showing various Analytics Data Scientist job openings in the United States as of May 2026, with employment types broken down into 9% Internship, 82% Full Time, 5% Part Time, 1% Temporary, 2% Contract, and 1% Summer. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Advanced Analytics Data Scientist

Advanced Analytics Data Scientist

Kimberly-Clark

Atlanta, GA • On-site

Full-time

Retirement

Posted 23 days ago


Kimberly-Clark rating

8.5

Company rating: 8.5 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

35th of 515 rated manufacturers


Job description

Advanced Analytics Data ScientistJob Description

You were made to create Better Care for a Better World: designing new technologies, diving into data, optimizing digital experiences, and constantly developing better, faster ways to get results. You want to be part ofa performance culture dedicated to building technology for a purpose that matters. Here, you'll work in an environment that promotes sustainability, inclusion, wellbeing, and career development while you help us deliver better care for billions of people around the world. It starts with YOU.

About You

In one of our technical roles, you'll focus on winning with consumers and the market, while putting safety, mutual respect, and human dignity at the center. Job responsibilities include:

  • Leverage advanced analytics and visualization tools (Power BI, Celonis) to translate complex data into actionable supply chain insights.
  • Lead the development and deployment of analytical models to enable data-driven decision making across the end-to-end supply chain.
  • Apply strong business acumen to optimize operations and guide supply chain analytics strategy and priorities.
  • Analyze large datasets to identify optimization opportunities and develop scalable metrics, KPIs, and statistical models.
  • Partner cross-functionally to build a robust data foundation using tools such as SQL, Snowflake, HANA VDMs, and Power BI.
  • Lead end-to-end initiatives including process mapping, use case identification, and project execution to drive measurable business impact and automation.

To succeed in this role, you will need the following qualifications:

Required Qualifications

  • Bachelors or Advanced degree in Logistics, Supply Chain, Engineering, Computer Science, Data Science or related field.
  • 5+ years of business experience , including 5 + years working experience in data science, analytics and/or data modeling.
  • Advanced analytics, data visualization, and reporting dashboard design and development experience.
  • Knowledge of or willingness / ability to learn new analytical and automation tools.
  • Demonstrated leadership in executing innovative, technology-driven solutions through strategic problem-solving, cross-functional collaboration, and strong analytical thinking.
  • Strong technical/analytic skills and experience in multiple platforms such as Excel, SAP/S4, Data Warehouse reporting, Celonis, Power BI, Power Platform, HANA VDMs, Snowflake.

Preferred Qualifications

  • MBA or MS in Engineering, Data Science, Analytics or related field.
  • Experience with relational database structure and design, SQL, or Snowflake.
  • 3+ years of experience using various programming languages (R, Python etc.) to develop and apply advanced cognitive or machine learning methods and algorithms to address Supply Chain and Business problems.
  • 3+ years of cross-functional Supply Chain Customer Service, Distribution or Planning experience.
  • Exceptional communication skills, with ability to simplify complex concepts for ease of understanding.
  • Good facilitation and presentation skills, including training delivery.
  • Ability to mentor Data Analysts and other team members in established best practices.

Led by Purpose. Driven by You.

Total Benefits

We believe that our employees are our greatest asset, and we're committed to providing them with the resources they need to be successful. If you're looking for a rewarding career with a company that cares about its employees, then Kimberly-Clark is the place for you.

Here are just a few of the benefits you'd enjoy working in this role for Kimberly-Clark. For a complete overview, see www.mykcbenefits.com.

To Be Considered
Click the Apply button and complete the online application process. A member of our recruiting team will review your application and follow up if you seem like a great fit for this role.

In the meantime, please check out the careers website.

And finally, the fine print....


For Kimberly-Clark to grow and prosper, we must be an inclusive organization that applies the diverse experiences and passions of its team members to brands that make life better for people all around the world, which is why we seek to build a workforce that encompassesthe experiences of our consumers.When you bring your original thinking to Kimberly-Clark, you fuel the continued success of our enterprise. We are a committed equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, age, pregnancy, genetic information, citizenship status, or any other characteristic protected by law.

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

Employment is subject to verification of pre-screening tests which may include drug screening, background check, and DMV check.

Veterans and members of the Reserve and Guard are highly encouraged to apply.

This role is available for local candidates already authorized to work in the role's country only. Kimberly-Clark will not provide relocation support for this role.

Employment is subject to verification of local policies.

Salary Range: 105,740 - 130,620 USDAt Kimberly-Clark, pay is just one aspect of our total rewards package, which also includes a variety of benefits and opportunities to achieve, thrive and grow. Along with base pay, this position offers eligibility for a target bonus and a comprehensive benefits suite, including our 401(k) and Profit Sharing plan. The anticipated base pay range for this role is provided above for a fully qualified hire. Actual pay will depend on several factors, such as location, role, skills, performance, and experience. Please note that the stated pay range applies to US locations only.Primary LocationNeenah - West Office Facility 1Additional LocationsChicago Commercial Center, IT Centre Bengaluru GDTC, Knoxville Office, Pune Kharadi Hub, Roswell Building 400Worker TypeEmployeeWorker Sub-TypeRegularTime TypeFull time

What Kimberly-Clark employees say

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Kimberly-Clark logo

About Kimberly-Clark

Sourced by ZipRecruiter

Huggies®. Kleenex®. Cottonelle®. Scott®. Kotex®. Poise®. Depend®. Kimberly-Clark Professional®. You already know our legendary brands--and so does the rest of the world. In fact, 25% of people in the world use Kimberly-Clark products every day. We know that these amazing Kimberly-Clark products wouldn't exist without skilled workers, like you. Here, you'll use your skills to make some of the most helpful things for billions of people all around the world - all in a safe, stable, and caring environment. While our products support better lives for billions of people around the world, our company passionately supports the ability for over 45,000 employees to do their best work and enjoy life.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Irving, TX, US

Year founded

1872