Expert Data Scientist

Key Skills

Java Programming, Python Programming, SQL, Apache Hadoop, R Programming, SPARK Programming

Job Description

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.

At HP, the future is yours to create!

If you are our Data Scientist in India, you will get an opportunity to work on below

Responsibilities

• Independently develop and deliver data science projects/modules with medium to high complexity
• Identify machine learning algorithms and methods best suited to solve specific business problem
• Build robust code in Python, R etc. in data science projects
• Understand business problem and provide solution using data science and analytics
• Network with the organization to obtain required data from multiple sources
• Data management for data science projects – Data extraction, validation, cleaning, processing and storage
• Effectively communicate with clients
• Transform data science prototypes into machine learning systems.
• Build cost effective and efficient systems using parallel processing and other methods.

Experience Required:

• Experienced in building multiple data science projects of medium to high complexity
• Deep knowledge of math, probability, statistics and algorithms.
• Experienced in writing robust codes in Python, R etc.
• Understanding of data structures, data modelling and software architecture.
• Exposure to complete life cycle of data science projects
• Experience/exposure to implementation of data science projects
• Exposure to ML platforms like Databricks etc.
• Experience/Exposure to Big Data technologies like Spark and Hadoop.
• Worked directly with clients and stakeholders.

Education:

• Master Degree or higher in one or more of the following quantitative disciplines, i.e. Mathematics, Statistics, Economics, Computing.