049217-Senior Data Scientist with Pricing and Marketing Analytics Experience – Location: Open


The AI & Analytics practice group at Capgemini is
expanding its footprint� rapidly.  As
part of the fastest growing digital practice within Capgemini, we work with the
latest advanced analytics, machine learning, and big data technologies to
extract meaning and value from data in a number of different industries,
including Media & Entertainment, High Tech, Automotive, Consumer Products
& Retail,   Industrial Products,
Manufacturing, Telecom, Aerospace & Defense, and Energy & Utilities.

The AI & Analytics group is the fastest growing digital
practice at Capgemini demanding agile innovation. As part of the AI &
Analytics group, you will work in a collaborative environment with internal and
client resources to understand key business goals, build solutions, and present
findings to client executives while solving real-world problems. If you are
passionate about solving problems in the realm of cognitive computing, big
data, and machine learning while utilizing business acumen, statistical
understanding, and technical know-how, the AI & Analytics practice group at
Capgemini is the best place to grow your career.

Role & Responsibilities:

 Work in a
collaborative environment with global teams to drive client engagements in a
broad range of industries to design and build scalable AI and Machine Learning
solutions to solve business problems and create value by leveraging client data

Provide guidance on engagements to ensure
successful delivery while balancing internal initiatives

Contribute to thought leadership and facilitate
client relations across network of existing and potential clients

Provide thought leadership on pricing, marketing,
and warranty analytics for clients across the country

Participate in client discussions, interact with
CxOs at client organization to articulate the value of data science approaches,
different AI service offerings and guide them on implementation of the same

Quickly understand client needs, scope of work
effort, assemble teams, manage delivery, and articulate findings to client

Mentor, lead and develop junior staff, including
performance appraisals and career pathing

Review and analyze developed models for
complete, robustness and meeting of client needs

Assist in growing data science practice by
meeting business goals through client prospecting, responding to proposals,
identifying and closing opportunities within identified client accounts.


 6+ years professional work experience as a data
scientist or on advanced analytics / statistics projects with 5+ years�
experience in one of the following sectors: Aerospace & Defense, Automotive, Banking, Consumer Products &
Retail, Financial Services, Healthcare, High Tech, Industrial Products,
Insurance, Life Sciences, Manufacturing, Public Sector, Telecom, Media &
Entertainment, and Energy & Utilities.

Master�s degree or PhD in Computer Science,
Statistics, Economics, Mathematics, or other closely related field

Marketing Analytics and Pricing Expertise

Graph Theory work, potentially NEO4J

Strong mathematics skill

Design databases and run math models in the
database to calculate relationship strengths

Excellent team-oriented and interpersonal
skills, with a strong interest for consulting

Outstanding communication skills with the
ability to clearly articulate findings and present solutions to business


Preferred Qualifications 

Experience with Deep Learning methods in NLP
& Computer Vision, Sentiment analysis, topic modeling and graph theory and

Experience with common data science tools such
as Python, R, Pytorch, TensorFlow, Keras or Neo4j, and a good understanding of
modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai)

Experience working with big data distributed
programming languages, and ecosystems: Spark, Hadoop, MapReduce, Pig, Kafka

Familiarity with Cloud-based environments such
as AWS (S3/EC2), Azure, Google Cloud

Knowledge of other coding languages such as
Java, Matlab, SAS, C++

Experience with building and deploying
predictive and prescriptive analytics models

Experience with conflicts resolution and people
influence techniquesCapgemini 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.



Posted on:

July 9, 2020

Experience level:


Education level:

Bachelor's Degree (�16 years)

Contract type: