Skip Navigation

Search jobs

Saved jobs

Data Scientist

Apply Job ID 3039627 Primary Location Bangalore, Karnataka, India Date posted 05/05/2019

HP is the world’s leading personal systems and printing company, we create technology that makes life better for everyone, everywhere. Our innovation springs from a team of individuals, each collaborating and contributing their own perspectives, knowledge, and experience to advance the way the world works and lives.

We are looking for visionaries, like you, who are ready to make a purposeful impact on the way the world works.

If you are our Data Scientist in Bangalore, you will have a chance to

  • Identify new opportunities in finance analytics with existing stakeholders. Understand client problem, building clear solution, communicating it effectively to the stakeholder
  • Identifying, obtaining and processing critical data (e.g. internal client data, external public data, and new sources of data) to challenge the status quo in defining information sources on the data lake
  • Build analytics solutions using variety of big data technologies and analytics tools as required by the client, and create robust documentation of solutions and underlying design decisions and operating procedures
  • End to end data & analytics solutioning capability i.e. big data lake, analytics platform, analytics services, advanced analytics use cases & machine learning, BI & visualization, self-serve apps etc.
  • Mobilizing resources for setting up proof of concept projects and big data & analytics engagements, building roadmaps for analytics delivery and managing end to end stakeholder engagement(s)
  • Identifying various business use cases for analytics applications, designing predictive and prescriptive analytics based consulting assignments, solutioning these scenarios

Are you a high-performer? We are looking for an individual with:

  • 5-8 years of experience in analytics or insight led consulting
  • Strong understanding of various statistical techniques like, regression including logistic and OLS, clustering, optimization, Monte Carlo simulation, classification and forecasting techniques and experience in machine learning techniques (neural network, SVM, association rules, random forest etc.).
  • Hands-on experience of developing Analytics models that solve specific business problems
  • Hands-on experience in using one or more of the following analytics tools like - R, Python, Spark
  • Ability to connect with big picture in business and steering analytics application for solving business problems
  • Strong functional and analytics skills to identify potential business problems and translate business requirements into tactical analytical requirements
  • Excellent communication – verbal and written, executive level presentation and storytelling skills
  • Experience in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing(NLP) and Cognitive Systems
  • Experience of working with big data tools i.e. Hadoop, spark, D3, oozie, hive, python.
  • Degree in one or more of the following quantitative disciplines, i.e. Mathematics, Statistics, Economics, Computing, Quantitative Finance.