Capgemini Walkin Drive


Capgemini Walkin Drive

Capgemini scheduled to hire Service Desk for any degree graduates at Bangalore. The detailed eligibility and venue details for the Capgemini walk-in are given below

Job Role : Data Scientist

Job ID : 367721

Experience level:9-12Years

Location : Bangalore

Department : Big Data & Analytics

Location: Bangalore

Job Description:
  • Works as a senior member in various areas of analytics e.g. IoT/Connected Device/Sensor data analysis or supply Chain or marketing & customer analytics or unstructured data area e.g. NLP, Speech or Computer vision
  • Works as a senior member of data science practice and guide in delivering project along with newer data science workbench or platforms
  • Working with Google cloud and its analytics platform ecosystem, or
  • Working Azure cloud and its analytics platform, or
  • Working with AWS cloud and its analytics platform ecosystem, or
  • Working various bigdata and its analytics platform ecosystem e.g. Cloudera/Hortonworks or
  • Working with SAP Hana platform and its analytics platform ecosystem
  • Works as a senior member in Data Science projects and coordinate the relationship with clients and manage the deliverables of client projects
  • Works to design and develop analytical/ data mining/ machine learning/deep learning models as part of data science solutions
  • Gather, evaluate and document business requirements, translate to data science solution definition, and ability to implement analytics as part of a technology solution
  • Ability to design and build an end-to-end prototype data science solution to a business problem in any specific sector/ function, more specific to any manufacturing and asset intensive industry domains
  • Ability to support and guide end-to-end model lifecycle management
  • Create model documentation as per client/ regulatory standards
  • Working experience in various AI powered model implementation with NLP, Deep Learning algorithms
  • Develop Models using open source packages e.g. python and R
  • Experiences in unstructured text data analysis; language, speech, image and video data analysis across multiple industries e.g. manufacturing, retail, etc.
  • Gather, evaluate & document business requirements related to analytics, translate to analytics solution definition & ability to implement using Python
  • Manage team consisting of various skills ranging
  • Data extraction from Raw files using Python Anaconda or built in for POC
  • Data pulling or creating from different sources such as HBase, Hive, Impala etc.
  • Responsible for analyzing data from multiple data sources (DBs, flat files, etc.), and building predictive models using Python.
  • Scripting with Python and cron jobs to schedule the run (Batch or Real time)
  • Different models and their performances in Real time and Batch developed using Python (Pandas)/MLib/PySpark and opting the better solution depending on the cases
  • Validate the models – statistically as well as from business perspective in discussions with business stakeholders
  • Ability to support and guide model deployment and model lifecycle management
  • Create model documentation as per client/ regulatory standards
  • Degree in a quantitative field (Math, Statistics, Economics, Computer Science, and/ or Engineering, MBA).
  • Experience and skilled Python (incl. PySpark, Spark, MLib)
  • Hands-on experience in analytical techniques including sampling, clustering, decision trees, SVM, Random Forest, regressions, deep learning etc.
  • Understanding of technology platforms and how statistical software integrates with other technologies
  • Experience with working on large data sets and developing scalable algorithms
  • Experience in leading an analytics/ data science project – both in terms of delivery as well as competency.
  • Excellent presentation and communication skills
  • Strong analytical and problem-solving skills
 Skills Required :
  • Knowledge of where analytics fits in to an end-to-end business solution.
  • Ability to work with business and technology teams to build and deploy an analytical solution as per client needs.
  • Ability to lead a multi-location team working on multiple analytical/ data science projects.
  • Ability to multi-task, solve problems and think strategically.
  • Strong communication and collaboration skills.
  • Travel to various India and Onshore offices for client’s requirements.
  • Hands on experience in Python, or R, SAS. Very good working Knowledge on Python based libraries e.g. Keras & Tensor flow
  • Knowledge in scala, Hive, Hbase, Impala, Kafka and Flume is a plus
  • Knowledge in Data exploration using OpenCV, NumPy, Matplotlib, SciPy and Pandas
  • Working with Google cloud, Azure cloud, AWS, Cloudera/Hortonworks


Apply Link: Click here


Candidates can use the above-provided link to apply for the Capegemini Recruitment. We will provide the information regularly for more updates about the vacancies in the company. So be in touch with our website NEW JOBS UPDATES