Job description
Who we are?
HP creates new possibilities for technology to have a meaningful impact on people, businesses, governments and society. The world’s largest technology company and ranked 10 on the Fortune 500 list for 2012, HP brings together a portfolio that spans printing, personal computing, software, services and IT infrastructure to serve more than 1 billion customers in over 170 countries on six continents.
HP invents, engineers, and delivers technology solutions that drive business value, create social value, and improve the lives of our clients. At HP, we know that our people and values are the most important elements in this success. And we want you to add your voice and imagination to our mission.
What can we do together?
Working with us, you will have an outstanding impact across HP and our Supply Chain.
You will leverage your skills to avoid scenarios of stock-outs and excessive inventory and ensure that supply is allocated where and when it will maximize returns.
To do so, you will work on designing and deploying highly advanced Machine Learning solutions to forecast future demand at scale, optimize the allocation of inventory and automate the management of the inventory for thousands of products and hundreds of countries.
You will be part of our Order To Cash organization within our Center of Excellence team and you will shape HP’s future of how to solve concrete business problems with the use of data science. We are a very dynamic, highly skilled, and a diverse global team consisting of supply chain experts, computer scientists and engineers, who are pushing the innovation frontier in the way we bring insights to our business.
Responsibilities:
Build high-quality Data Science solutions to optimize our Supply Chain and product inventory using tools like Python.
Collect requirements from business teams to design and build relevant analytic solutions which will address pain points and drive change in the entire organization.
Utilize highly advanced analytical tools and techniques for analysing data and building statistical models and solutions for the most complex challenges: demand forecasting, capacity allocation and inventory optimization.
Improve upon existing analytical pipelines by developing new data signals, researching new algorithms, fine-tuning models, testing, and deploying proposed enhancements to bring excellence to the organization
Who you are ?
Education and Experience Required:
Master's degree in a quantitative field such as Statistics, Mathematics, Economics, Physics, Engineering, Computer Science, or equivalent
4+ years’ experience with data querying language (SQL, Hadoop) and statistical/mathematical software such as Python and/or R
Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
Knowledge and Skills:
Strong analytical skills.
Demonstrated knowledge of Excel, PowerPoint, Word, and Access.
Strong written and verbal communication and presentation skills; mastery in English and local language.
Ability to work on a team and collaborate across business units.
Developing business acumen, including understanding of HP's overall business model.
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 the 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!
About HP
