Data Science Manager

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

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 in implementation of data science projects
• Exposure to ML platforms like Databricks etc.
• Experience/Exposure to Big Data technologies like Spark/Scala.
• Worked directly with clients and stakeholders.
• Experience 10 plus years in data science & Machine learning projects

Education:

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

About the team:

We are the global Finance analytics team, located primarily in Houston, TX and Bangalore, India. We design, develop and deploy production solutions to facilitate various Finance, Accounting, Planning, and Business Operations inside of HP. Our team has a mixture of disciplines ranging from Statisticians, Economists, Finance, Engineers, Front-end, Back-end, and visualization developers. HP is currently going through enterprise-scale transformation initiatives that heavily relies upon a data-driven culture. Our current focus for the coming year will be heavily forecast-related. Our team is flexible, dynamic, hungry, and humble; we are excited to find like-minded individuals!

About HP

You’re out to reimagine and reinvent what’s possible—in your career as well as the world around you. So are we. We love taking on tough challenges, disrupting the status quo, and creating what’s next. We’re in search of talented people who are inspired by big challenges, driven to learn and grow, and dedicated to making a meaningful difference.

HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere.

Our history: HP’s commitment to diversity, equity and inclusion – it’s just who we are. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you’re more innovative and that helps grow our bottom line. Come to HP and thrive!