DATA Scientist - Big deal pricing en Sant Cugat del Vallès

About HP

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!

Purpose

As a Data Scientist, you will join an industry-leading organization and work on developing tools and analytical models to identify optimal marketing, pricing and sales decisions for our Printing & Personal Systems business in the Americas/EMEA/APJ. Working in the Data Science team, you will develop innovative analytical approaches and tools enabling better insights to implement marketing and pricing guidelines for supplies. You will work closely with Product Management, Sales, and Finance teams to drive profitable growth.

Knowledge, Skill and Abilities

• Experience building and interpreting machine learning models (e.g. Naïve Bayes, random forest, regression trees, neural networks)
• Ability to merge different data sources, create new variables and conduct regression analyses (probit/logit and other GLM)
• Develop and implement frameworks and processes for systematic data analysis, as well as reporting capabilities to track key business performance metrics
• Very strong analytical skills, with a high level of attention to detail
• Solid problem-solving skills and systems thinking, being able to act independently on building analysis models and business cases
• Capable of quickly interpreting analysis results and providing strategy recommendations, including presenting to senior leadership

Additional Qualifications

• 3+ years of advanced analytics experience
• Proficient in R and/or Python programming languages
• Good understanding of financial metrics and ability to leverage pricing decision using financials
• Strong understanding of data structures, data management and statistical methods
• Strong presentation skills
• Must be a team player, who is passionate and able to build strong relationships across different functions
• University degree in a quantitative discipline (e.g. economics, statistics, econometrics, mathematics, physics), with a postgraduate degree preferred
• Analytics experience in Finance, Marketing or Pricing is a plus