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Data Engineer

Reads like a Data Scientist role: models and experiments.

Pay
$43,984–105,600/year · BaseAnnual period assumed. Not guaranteed — pay source
#LI-SD1 The base compensation range for this role in the posted location is $43,984 to $105,600 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
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Work setting
Hybrid — work setting source
Location This is hybrid role based in Houston, TX About the job you're considering
Read the full posting
Employment
Not stated

What you’ll work on

Full posting
  • Develop machine learning and predictive analytics models

  • Build and maintain ETL/ELT workflows and data pipelines

  • Develop time series forecasting and statistical models

  • Create dashboards and reports using Tableau and Power BI

  • Perform model testing, validation, and performance optimization

From the employer’s posting
Develop machine learning and predictive analytics models.
Build and maintain ETL/ELT workflows and data pipelines.
Develop time series forecasting and statistical models.
Create dashboards and reports using Tableau and Power BI.
Perform model testing, validation, and performance optimization.

What you’ll bring

All qualifications

Core experience

  • 4+ years in data science, machine learning, or analytics
  • Strong Python, PyTorch, SQL, and C++ skills
  • Time series modeling and forecasting experience
  • Snowflake and Google Cloud Platform experience
  • Bachelor's or Master's degree in a related field
Qualification wording
4+ years of experience in Data Science, Machine Learning, or Analytics.
Strong expertise in Python, PyTorch, SQL, and C++.
Experience with Time Series modeling and forecasting.
Experience with Snowflake and Google Cloud Platform (GCP).
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or a related field.
Education & alternatives
Your skills and experience • 4+ years of experience in Data Science, Machine Learning, or Analytics. • Strong expertise in Python, PyTorch, SQL, and C++. • Experience with Time Series modeling and forecasting. • Hands-on experience with Tableau and Power BI. • Experience with Snowflake and Google Cloud Platform (GCP). • Strong understanding of ETL/ELT processes and data pipelines. • Experience with machine learning model development and deployment. • Strong analytical, problem-solving, and communication skills. • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or a related field. #LI-SD1
Apply at Capgemini Service SAS

Posting record

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Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 20263 days ago
Recorded sightings
2
Last seen by us
Nov 8, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$118K–$194K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,757 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 3

Early. Similar jobs usually come down between day 7 and day 57.

From 10,595 similar postings that came down. Coming down is not always a hire.

Capgemini Service SAS is hiring

291 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • C++
  • Python
  • SQL
  • GCP
  • Power BI
  • Snowflake
  • Tableau
  • PyTorch
Where the posting names them
Your Role • Develop machine learning and predictive analytics models. • Build and maintain ETL/ELT workflows and data pipelines. • Perform data extraction, transformation, and loading from multiple sources. • Develop time series forecasting and statistical models. • Create dashboards and reports using Tableau and Power BI. • Utilize Python, PyTorch, C++, SQL, Snowflake, and Google Cloud for analytics solutions. • Collaborate with business and technology teams to deliver data-driven insights. • Perform model testing, validation, and performance optimization. • Support data quality, governance, and AI/ML deployment initiatives. Your skills and experience
Your skills and experience • 4+ years of experience in Data Science, Machine Learning, or Analytics. • Strong expertise in Python, PyTorch, SQL, and C++. • Experience with Time Series modeling and forecasting. • Hands-on experience with Tableau and Power BI. • Experience with Snowflake and Google Cloud Platform (GCP). • Strong understanding of ETL/ELT processes and data pipelines. • Experience with machine learning model development and deployment. • Strong analytical, problem-solving, and communication skills. • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or a related field. #LI-SD1

Your next step

Complete your application on careers.capgemini.com. The employer’s form will show what is required.

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About Capgemini Service SAS

People
About 11,267 in 2024.Benefit plan filings (Form 5500)
Company
Listed as CAP.PA.
H-1B visas
771 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,411, the most 2,973, and the latest week had 1,803.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Location

This is hybrid role based in Houston, TX

About the job you're considering

Capgemini is seeking a Data Scientist with expertise in Machine Learning, Time Series Analytics, and Cloud Data Platforms. The ideal candidate will develop advanced analytical models, build data pipelines, and deliver actionable business insights using modern AI and analytics technologies.

Your Role

 • Develop machine learning and predictive analytics models.
 • Build and maintain ETL/ELT workflows and data pipelines.
 • Perform data extraction, transformation, and loading from multiple sources.
 • Develop time series forecasting and statistical models.
 • Create dashboards and reports using Tableau and Power BI.
 • Utilize Python, PyTorch, C++, SQL, Snowflake, and Google Cloud for analytics solutions.
 • Collaborate with business and technology teams to deliver data-driven insights.
 • Perform model testing, validation, and performance optimization.
 • Support data quality, governance, and AI/ML deployment initiatives.

Your skills and experience

 • 4+ years of experience in Data Science, Machine Learning, or Analytics.
 • Strong expertise in Python, PyTorch, SQL, and C++.
 • Experience with Time Series modeling and forecasting.
 • Hands-on experience with Tableau and Power BI.
 • Experience with Snowflake and Google Cloud Platform (GCP).
 • Strong understanding of ETL/ELT processes and data pipelines.
 • Experience with machine learning model development and deployment.
 • Strong analytical, problem-solving, and communication skills.
 • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or a related field.

#LI-SD1

The base compensation range for this role in the posted location is $43,984 to $105,600 

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

 

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: 

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

 

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect.  We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States.  http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

 

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

 

Source details

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Pay
#LI-SD1 The base compensation range for this role in the posted location is $43,984 to $105,600 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
Location & working pattern

Houston, TX, US

Location This is hybrid role based in Houston, TX About the job you're considering
Work authorization

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