Short Description

About Capgemini

With more than 190,000 people, Capgemini is present in over 40 countries and celebrates its 50th Anniversary year in 2017. A global leader in consulting, technology and outsourcing services, the Group reported 2016 global revenues of EUR 12.5 billion. Together with its clients, Capgemini creates and delivers business, technology and digital solutions that fit their needs, enabling them to achieve innovation and competitiveness. A deeply multicultural organization, Capgemini has developed its own way of working, the Collaborative Business ExperienceTM, and draws on Rightshore®, its worldwide delivery model.Rightshore ® is a trademark belonging to Capgemini 

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.

Position Type: Full Time/Permanent

Role: Data Scientist

Job Description:
• 12+ years professional experience
• 3+ years of experience with top-tier firms in big data analytics, management consulting, or comparable role in corporate setting
• 3+ years of experience with machine learning
• 5+ years of experience with SQL
• 4+ years in financial services preferred
• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc
• Good applied statistics skills, such as distributions, statistical testing, regression, etc
• Extensive predictive analytics experience with Python
• In-depth knowledge of statistical software packages (e.g. SAS and R)
• Experience with data visualization tools preferred
• Experience with big data technologies such as Hadoop, R, and Java / MapReduce a plus
• Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, DynamoDB a plus
• Experience with data and machine learning services using Azure, Amazon Web Services (AWS), and/or Google Cloud
• Familiar with Agile software development (Scrum is a plus)
• DevOps knowledge is a plus
• Perform machine learning and statistical analysis methods, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods
• Analyze and model structured data using advanced statistical methods and implement algorithms and software needed to perform analyses
• Build recommendation engines, sentiment analyzers and classifiers for unstructured and semi-structured data

Disclaimer: Capgemini America Inc and its U.S. affiliates are EEO/AA employers.  Capgemini conducts all employment-related activities without regard to race, religion, color, national origin, age, sex, marital status, sexual orientation, gender identity/expression, disability, citizenship status, genetics, or status as a Vietnam-era, special disabled and other covered veteran status. Click the following link for more information on your rights as an Applicant:

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