HP is a Fortune 100 technology company with $58+ Billion in revenue, with over 50,000 employees operating in more than 170 countries around the world. We provide technology and services that help people and companies address their problems and challenges, and realize their possibilities, aspirations and dreams. We apply new thinking and ideas to create simpler, more valuable and trusted experiences with technology, continuously improving the way our customers live and work.

Position background

In the GTM advanced analytics COE, our mission is to deliver impact by building machine learning products to guide HP’s pricing, making the right marketing investments, and interacting with the right accounts on the right topics

Generating $58B+ of sales requires a significant investment in digital marketing. To help HP understand the efficiency of the spend, help optimize it and balance it data science models are deployed from the highest level (MMM) to the lowest level (keyword optimization). To lead such an impactful and exciting team you are looked for!

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

What you will do

Guide HP’s investment in terms of size, mix and timing across geographies, products and channelLead a team data science team with a strong culture of delivery and accountability for resultsConduct problem solving sessions with internal stakeholders on identifying the right methodology and data sources that need to be managed.Inspire and motivate cross-functional teams to be highly effective both in terms of impact and team cultureAct as a trusted mentor and advisor to others within our broader technology organization to ensure the scaling of best practices and use of repeatable patterns

What you will need:

Bachelor’s in Computer Science, Statistics, Electrical Engineering, Robotics or a related fieldProven experience developing Media Mix (MMM) and/or Multi-Touch Attribution (MTA) modelsProven track record of success leading teams in Data Science or consulting teams in digital marketing domainTheoretical and applied skills in Machine LearningExperience in developing ML solutions utilizing various algorithms Knowledge of statistical testing methods (i.e., A/B, Hypothesis, Multivariate, User Acceptance)Proven experience liaising between technical & non-technical business units; presenting insightsFamiliar with variety of media channels (i.e., Display, Paid Search, Paid Social, Programmatic, TV)Languages: Python or R

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.

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The typical base pay range for this role across the U.S. is $159,650.00 - $255,450.00 annually with additional opportunities for pay in the form of bonus and/or equity. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.