Data Scientist

Short Description

HP Inc is hiring a Data Scientist who has the ability to merge different data sources, create new variables and conduct regression analyses (probit/logit and other GLM).

Job Description

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

Data Scientist
Mid-Senior-level Information | Information Technology | Technology Full-time Engineering | Information Technology | Other Data Scientist
Our vision is to create technology that makes life better for everyone, everywhere - every person, every organization, and every community around the globe. This motivates us - inspires us - to do what we do. To make what we make. To invent, and to reinvent. To engineer experiences that amaze. We won't stop pushing ahead, because you won't stop pushing ahead. You're reinventing how you work. How you play. How you live. With our technology, you'll reinvent your world.