Data Science Finance

Data Science FinanceDescription -HP is ranked among the Top Companies to work.  Among the recognitions include, One of the World’s Most Attractive Employers by Universum Global, One of the Top Companies for Women Technologists by Anita Borg Institute, One of the Top 10 Fortune 500 Companies Millennials are most excited to work for by SurveyMonkey, and Working Mother 100 Best Companies for 27 years.  Furthermore, HP has received two consecutive Diversity Leader Awards from Profiles in Diversity Journal.  HP was also awarded the Gold Medal by World Environment Center for International Corporate Achievement in Sustainable Development.We are looking for a recently graduated individual to work at HP as an Entry Data Scientist entrepreneur for our team.You will be part of Customer Support Finance providing support to the world wide Digital Tower project.Responsibilities: Apply statistical methods to analyze cost structure, find hidden patterns and build predictive models creating business value and innovationExperience building and interpreting machine learning models on real business dataVisualize and interpret the results of analyses, and create strategy recommendationsDevelop and implement frameworks and processes for systematic data analysisImmerse yourself in very large data sets and complex problemsDevelop tools to ingest, merge, and clean datasetsWorks with project team to understand problem statements, initiates and direction.Assures accuracy, integrity, and compliance of cleansed data.Collaborates and communicates with project team regarding project progress and issue resolution and suggests changes or improvementsUsing statistics, mathematics, algorithms and programming languagesEducation and Experience Required: First level university degree with a focus in business, economics or Data Science recommended or equivalent experience.Typically 0+ years of experience as a Financial Analyst/Data Scientist.Degrees preferred: Financial Engineering and Computer Systems Engineering Nice to have experience: working with large data set, data engineering, creating data visualizationsDesirable ability to build dashboards and other tools using front-end development skillsKnowledge and Skills Required:Scientific thinking and ability to design and critically analyze quantitative researchAbility to think creatively about research problems and invent original solutions to modeling challengesProficiency with R or Python is requiredAbility to build and interpret linear regression models, with machine learning experience a plusStrong analytical skills, with a high level of attention to detailProficiency in Microsoft Excel and Microsoft Power BI#LI-POSTJob -FinanceSchedule -Full timeShift -No shift premium (Mexico)Travel -Relocation -EEO Tagline - HP Inc. is EEO F/M/Protected Veteran/ Individual with Disabilities.