049480-Managing Enterprise Architect – IoT Data Scientist

 

 

Manager �
Capgemini AI & Analytics Team

IoT Data
Scientist

 

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
  • Provide engineering services for PoCs,
    pilots, production
  • Lead projects in IoT architecture with
    data science
  • Provide end-to-end prototype and
    transformation solutions. Contribute to thought leadership and facilitate
    client relations across network of existing and potential clients.
  • 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 executives
  • 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.

 

Qualifications:

  • MS or PhD in Computer Science,
    Statistics, Economics, Mathematics, or other closely related field
  • Strong mathematics skill
  • 5+ years data science experience in an
    IoT environment
  • 5+ years as a Solutions Architect
  • 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.
  • Application development cycle in an IoT
    environment, CI/CD pipeline
  • Knowledge of the device connectivity
    protocols, WiFi, Bluetooth, MQTT, CoAP, Websockets, REST API, HMI, MWM and
    device security.
  • Hands-on experience building
    mobile (iOS, Android) and WebUI applications using React, React Native
  • Experience with at least one of
    the major cloud platforms: AWS, Azure, GCP
  • Application of Graph data models and
    algorithms as well as graph databases such as Neo4j
  • 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
    partners

 

Preferred
Qualifications: 

  • Experience with Deep Learning methods in NLP
    & Computer Vision, Sentiment analysis, topic modeling and graph theory and
    databases
  • Experience with common data science tools such
    as Python, R, Pytorch, TensorFlow, Keras, NLTK, Spacy, 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 techniques 

 

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.

 

 

Ref:

049480

Posted on:

August 11, 2020

Experience level:

Manager

Education level:

Bachelor's Degree (�16 years)

Contract type:

Regular