062729-Data Scientist

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. 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 accommodations do not pose an undue hardship.
Click the following link for more information on your rights as an Applicant - http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
About Capgemini

Capgemini is a global leader in consulting, digital transformation, technology and engineering  services. The Group is at the forefront of innovation to address the entire breadth of clients’ opportunities in the evolving world of cloud, digital and platforms. Building on its strong 50-year+ heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. Today, it is a multicultural company of 270,000 team members in almost 50 countries. With Altran, the Group reported 2019 combined revenues of €17billion.
Visit us at www.capgemini.com. People matter, results count.

- Bachelors/Masters in mathematics, statistics, software engineering, computer science, electrical engineering or a related field, combined with several years of experience acquired in the context of data science projects
- Expertise in Statistical Analysis (and Process Control)
- Expertise in Machine Learning Models especially in Predictive Maintenance types of engagement
- French speaking skill is must-have
- Implementation of data science projects, including familiarity with machine learning libraries and frameworks (eg Scikit Learn, H2O, TensorFlow);
- Experience with databases using computer languages: Python (Sci-kit Learn, numpy, pandas, Tensorflow, Keras), R, Matlab, SQL
- Experience in creating and using advanced algorithms and statistics: regression, classification, simulation, scenario analysis, modeling, clustering, decision tree, NLP, etc.
- Knowledge and experience of statistics and data mining techniques: GLM / Regression, Boosting, Network Analysis, etc.
- Data visualization/presentation experience for stakeholders using: Matplotlib, ggplot, Seaborn, Bokeh, Plotly, D3, Tableau, etc.
- Experience using web services: S3, Redshift, etc.
- Experience working with production systems
- Knowledge of software development life cycles
- Experience delivering ML Pipelines and continuously monitoring model performance
- Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark (desirable)
- Experience in some software engineering (for model deployment etc.) will be advantageous
- Cloud experience (eg AWS or Azure) (desirable);
- Experience with massively parallel architectures, including the use of Hadoop or Spark (desirable)


Responsible for importing, cleaning, transforming, validating and modeling data with the purpose of understanding and drawing conclusions from data (may be presented in charts, graphs, and/or tables).  Also, design and develop relational databases for collecting and storing data and build and design data input and data collection mechanisms.  


Required Skills and Experience:

You Supervise, mentor, guide other data analysts. Represent data analyst team in project team meetings.


• Qualifications:  7-10 years (3 years min relevant experience in the role) experience, Bachelor’s Degree.

• Must have experience in Software Engineering Techniques, Software Engineering Architecture, Software Engineering Lifecycle and Data Management.

• Should be proficient in Business Analysis, Business Knowledge, Software Engineering Leadership, Architecture Knowledge and Technical Solution Design.


Candidates should be flexible / willing to work across this delivery landscape which includes and not limited to Agile Applications Development, Support and Deployment.



Posted on:

March 16, 2022

Experience level:


Education level:

Bachelor's Degree (±16 years)

Contract type:




Business units:





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