Please be aware that this is a temporary contract.

Position background

In the GTM advanced analytics COE, our mission is to deliver impact by building machine learning products to optimize pricing, marketing investments and provide guidance to our sales organization.

We are looking for an experienced data scientist who can help create standardization across the many data science teams in engineering practices (artifact store, coding best practices … etc) and from data science perspective (EDA, mode selection, objective function documentation …)

We offer competitive salary an international experience, collaborative culture, top rate data science platform and opportunity to create significant real-world impact.

The candidate would have an opportunity to work across many data science teams, understand various topics and be able to select future challenges

What you will do

• You will work with all of the data science teams to define:
• Continuous training plan that changes with time and level
• Establish analytics processes for data science
• Define engineering best practices

What you will need:

• Bachelor’s in computer engineering, Computer Science, Electrical Engineering, Robotics or a related field
• 5+ years of proven track record of successful Data Science algo development
• Good theoretical and applied skills in Machine Learning - Optimization and other advanced analytical models – and how to apply to real world problems
• Experience in deploying ML solutions
• You appreciate the need to write solid and easy to understand code

Who We Are:

At HP, we believe in the power of ideas. We use ideas to put technology to work for everyone. And we believe that ideas thrive best in a culture of teamwork. That is why everyone – at every level in every function, is encouraged to think big, have original ideas and express and share them. We trust anything can be achieved if you really believe in it, and we will invest in your ideas to change lives and the way people work. This vision is what sets us apart as a company. At HP, we work across borders and without limits. Global virtual teams share resources, pool their big ideas to solve our biggest business opportunities. Everyone is valued for the unique skills, experiences and perspective they bring. That’s how we work at HP. And this is how ideas and people grow.