New job Data Scientist in Haryana

Data Scientist

Data Scientist

Company : Thales Group
Salary : Details not provided
Location : Haryana

Full Description

Location: Haryana, India

Thales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billons of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure.

Present in India since 1953, Thales is headquartered in Noida, Uttar Pradesh, and has operational offices and sites spread across Bengaluru, Delhi, Gurugram, Hyderabad, Mumbai, Pune among others. Over 1800 employees are working with Thales and its joint ventures in India. Since the beginning, Thales has been playing an essential role in India’s growth story by sharing its technologies and expertise in Defence, Transport, Aerospace and Digital Identity and Security markets.

Sr. Data Scientist

We provide dynamic solutions for data-rich businesses, so that they can gain a competitive advantage in creating more meaningful customer experiences.

A Sr. Data Scientist at Thales (Guavus) is responsible for analyzing extremely large volumes of data and turning that data into actionable insights for timely decision making by our customers. A person in this role will be responsible for building statistical models from multiple data sources in order to provide advanced analytics and reporting. The ideal candidate should have skills to quickly do a literature survey, perform proof of value using known statistical techniques and write production quality code to move the research into production. We are looking for a person with exceptional coding skills along with decent analytics and statistical skills to support our business. The role currently helps our customers get insights to increase revenues or reduce costs by better operation planning, customer churn management, service and cloud prospecting, application performance analysis, sales prospecting, etc.

This is an exciting, technical role that is focused on enabling existing and new customers to create real, practical value through advanced analytics on their streaming data. You will work closely with our team of scientists and engineers in providing cutting edge analytics solutions to customers worldwide.

Job Responsibilities:

  • Work with terabytes of structured and semi-structured data sets
  • Do a literature survey and identify state of the art techniques to solve the problem
  • Quickly design and conduct experiments to showcase proof of value.
  • Build predictive models using Python
  • Work closely with other team members in converting the business problem definition into validated results with customers and updating the core machine learning functionalities in our product lines.
  • Must be self-driven and capable of prioritizing, organizing, and managing a substantial workload.

Desired Skills:

  • The ideal candidate will have a strong academic background with strong Hands on Knowledge of Python.
  • Good understanding of data structures and design patterns
  • 3 - 4 years of experience in analyzing large volumes of data in building predictive models is desirable
  • Exposure to data mining techniques such as outlier detection, classification, regression, prediction, hypothesis testing will be a big plus.

Education: - B.Tech/B.E/M.Tech in Computer Science, Engineering, Mathematics or other natural science field with >2 years of relevant experience form tier -1 institute.

At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!

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