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.
Reads like a Data Scientist role: models and experiments.
Houston, TX, US
Actively hiring, first seen by us 3 days ago#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.Read the full posting
Location This is hybrid role based in Houston, TX About the job you're consideringRead the 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
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.
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.
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
Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$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.
Day 3
Early. Similar jobs usually come down between day 7 and day 57.
From 10,581 similar postings that came down. Coming down is not always a hire.
299 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd 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.
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
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New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
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.
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.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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.
This is hybrid role based in Houston, TX
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.
• 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.
• 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:
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
#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.
Houston, TX, US
Location This is hybrid role based in Houston, TX About the job you're considering
No clear work-authorization passage found. Eligibility is unconfirmed.