PS - Data Analyst

Job Description PS - Data Analyst We are looking for a Data Analyst who applies developed subject‑matter knowledge to solve common and complex business issues within established guidelines and recommends appropriate alternatives. The role works on problems of diverse complexity and scope, may act as a team or project leader providing direction to team activities and facilitates information validation and team decision‑making process. Exercises independent judgment within generally defined policies and practices to identify and select a solution, handles most unique situations, and may seek advice to make decisions on complex business issues. Responsibilities Participates as a member of team of other data science engineers carrying out the investigation, design, development, execution, and implementation of data science projects to generate new insights, products, technologies, and intellectual property. Creates plans, data collection and analysis procedures, and data insight visualizations for assigned projects. Collaborates with internal and external partners to perform experiments and validations in accordance with overall plan. Collaborates with SMEs to develop procedures for collecting, recording, analyzing, and communicating data for review and feedback. Prepares literature and presentations for peer review, publication, and delivery at industry and scientific events and conferences; creates patent applications and supporting documentation. Provides guidance and mentoring to less‑experienced staff members. Knowledge & Skills Using scientific design and data collection methodologies, tools and analysis packages to collect, validate, and analyze research data. Strong analytical and problem‑solving skills. Application and implementation of experimental design, scientific procedures and processes, and data analysis. Excellent written and verbal communication skills; mastery in English and local language. Ability to effectively communicate research plans, proposals, and results, and negotiate options at management levels. Scope & Impact Collaborates with peers, junior data scientists and engineers, SMEs and external and internal research and product development partners. Typically interacts with high‑level Individual Contributors, Managers and Program Core Teams. Participates in projects requiring data science engineering. Education & Experience Bachelor's, Master's or PhD degree in Mathematics, Economics, Physics, Computer Science, or equivalent. 4–6 years’ experience including graduate or postgraduate research. Pay range for this role is $83,000 to $127,800 USD annually with additional opportunities for bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job‑related knowledge, skills, and experience. Benefits Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies 4–12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: Know Your Rights: Workplace Discrimination is Illegal. #J-18808-Ljbffr Information Technology Senior Management Forum