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Capgemini Data Science Jobs in Texas (NOW HIRING)

GCP Data Scientist

Austin, TX · On-site

$76K - $187K/yr

... Science, Data Analytics teams) * Be an active participant and advocate of agile/scrum practice to ... Capgemini provides compensation range information in accordance with applicable national, state ...

Capgemini Invent - PMO

Dallas, TX · On-site

$76K - $115K/yr

Informed and validated by science and data. Superpowered by creativity and design. All underpinned ... Capgemini provides compensation range information in accordance with applicable national, state ...

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Capgemini Data Science information

See Texas salary details

$20.7K

$102.8K

$185.1K

How much do capgemini data science jobs pay per year?

As of Jun 28, 2026, the average yearly pay for capgemini data science in Texas is $102,774.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,283.00 and $141,588.00 per year, depending on experience, location, and employer.

How do data science professionals at Capgemini typically collaborate with cross-functional teams?

At Capgemini, data science professionals regularly work alongside business analysts, software engineers, and client stakeholders to deliver data-driven solutions. Collaboration often involves participating in agile project teams, where data scientists contribute insights and build models that support business objectives. This cross-functional approach ensures that technical solutions are aligned with client needs and operational requirements, fostering both innovation and effective problem-solving. Regular communication and knowledge sharing are central to project success at Capgemini.

What does a data scientist do at Capgemini?

A data scientist at Capgemini is responsible for analyzing large volumes of data to help clients solve business problems and make data-driven decisions. They use machine learning, statistical models, and data visualization techniques to extract insights from complex datasets. The role often involves working with clients across various industries to develop tailored solutions, collaborating with cross-functional teams, and communicating findings to both technical and non-technical stakeholders.

What is the difference between Capgemini Data Science vs Capgemini Data Analyst?

AspectCapgemini Data ScienceCapgemini Data Analyst
Required SkillsAdvanced statistical analysis, machine learning, programming (Python, R)Data interpretation, reporting, basic SQL and Excel skills
CertificationsData Science certifications, Python/R proficiencyData analysis certifications, Excel, SQL courses
Work EnvironmentDeveloping models, predictive analytics, complex data projectsData cleaning, reporting, dashboards, descriptive analytics
Industry UsageUsed in predictive modeling, AI projects, advanced analyticsUsed in reporting, business insights, data visualization

Capgemini Data Science roles focus on building predictive models and applying machine learning techniques, requiring advanced skills and certifications. In contrast, Capgemini Data Analysts primarily handle data reporting, visualization, and basic analysis. Both roles are essential in data-driven decision-making but differ in complexity and technical depth.

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

To thrive as a Capgemini Data Scientist, you need a strong background in mathematics, statistics, and computer science, often supported by a relevant degree and experience in data analysis. Proficiency with tools and languages such as Python, R, SQL, and machine learning frameworks like TensorFlow or Scikit-learn, along with familiarity with cloud platforms like AWS or Azure, is typically required. Strong problem-solving, critical thinking, and communication skills help distinguish top performers, enabling them to translate complex data insights into actionable business strategies. These skills and qualities are essential for delivering high-impact solutions that drive data-driven decision-making and innovation for Capgemini's clients.
What are popular job titles related to Capgemini Data Science jobs in Texas? For Capgemini Data Science jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Capgemini Data Science jobs in Texas look for? The top searched job categories for Capgemini Data Science jobs in Texas are:
GCP Data Scientist

GCP Data Scientist

Capgemini

Austin, TX • On-site

$76K - $187K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Capgemini North America rating

7.7

Company rating: 7.7 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

80th of 206 rated it services


Job description

This GCP Data Scientist must work 2 to 3 days in the local office in Austin, Texas is required.


Responsibilities

  • Contribute to the migration of legacy data warehouse to a google cloud-based data warehouse
  • Collaborate with Data Product Managers, Data Architects to design, implement, and deliver successful data solutions
  • Help architect data pipelines for the underlying data warehouse and data marts
  • Design and develop very complex ETL pipelines in Google cloud Data environments.
  • Our legacy tech stack includes Teradata and new tech stack includes GCP Cloud Data Technologies like BigQuery and Airflow and languages include SQL , Python
  • Maintain detailed documentation of your work and changes to support data quality and data governance
  • Support QA and UAT data testing activities
  • Support Deployment activities to higher environments
  • Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to our customers (Data Science, Data Analytics teams)
  • Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team


Basic Qualifications

  • 8+ years of data engineering experience developing large data pipelines in very complex environments
  • Very Strong SQL skills and ability to build Very complex transformation data pipelines using custom ETL framework in Google BigQuery environment
  • Exposure to Teradata and ability to understand complex Teradata BTEQ scripts
  • String Python programming skills
  • Strong Skills on build Airflow Jobs and Debug issues
  • Ability to Optimize the Query in BigQuery
  • Hands-on experience on Google Cloud data Technologies ( GCS , BigQuery, Dataflow, Pub sub, Data Fusion , Cloud Function)


Preferred Qualifications

  • Experience with cloud data warehouse technology BigQuery.
  • Nice to have experience with Cloud technologies like GCP (GCS , Data Proc, Pub/sub, Data flow, Data Fusion, Cloud Function)
  • Nice to have exposure to Teradata
  • Solid experience with Job Orchestration Tools like Airflow and ability to build complex Jobs.
  • Writing and maintaining large Data Pipelines using Custom ETL framework
  • Ability to Automate Jobs using Python
  • Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices
  • Very good experience with Code Version control repository like Github
  • Good Scripting skills, including Bash scripting and Python
  • Familiar with Scrum and Agile methodologies
  • Problem solver with strong attention to detail and excellent analytical and communication skills
  • Ability to work in Onsite / Offshore model and able to lead a Team.


The base compensation range for this role in the posted location is $76,200 to $187,740.

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.


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