Data Scientist

Data ScientistDescription -MAIN RESPONSIBILITIES:As a Data Scientist your main responsibilities include the deep analysis of data and then determining the best way to represent it visually to managers and stakeholders. You are also responsible for quality assurance and process documentation and for the definition of Key Performance Indicators (KPIs). In addition, another important duty is to assess and determine the success of specific initiatives.Data Scientist applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Frequently contributes to the development of new ideas and methods. Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors. Leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives. Acts as an expert providing direction and guidance to process improvements and establishing policies. Frequently represents the organization to external customers/clients. Exercises significant independent judgment within broadly defined policies and practices to determine best method for accomplishing work and achieving objectives. May provide mentoring and guidance to lower level employees.Job Description:Mines data using modern tools and programming languages.Defines and implements models to uncover patterns and predictions creating business value and innovation.Manages relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives.Ties insights into effective visualizations communicating business value and innovation potential.Maintains proficiency within the data science domain by keeping up with technology and trend shifts. Contributes to industry data science domain initiatives.Leads project team(s) of data science professionals, assuring insights are communicated regularly and effectively, reviewing designs, models and accuracy and data compliance.Collaborates and communicates with project team regarding project progress and issue resolution.Communicates and drives data insights/innovation into the business.Represents the data science team for all phases of larger and more-complex development projects.Provides guidance, training and mentoring to less experienced staff members.Interpret data, analyze results using statistical techniques and provide ongoing reports and data visualization dashboards (ie. Power BI, Tableau)Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and qualityPropose automation solutions and create necessary documentation for automations such as process design document, play book, architecture and infrastructure document, etc.Knowledge & SkillsExtensive experience using statistics, mathematics, algorithms and programming languages to solve big data challenges.Fluent in structured and unstructured data, its management, and modern data transformation methodologies.Ability to define and create complex models to pull valuable insights, predictions and innovation from data.Effectively and creatively tell stories and create visualizations to describe and communicate data insights.Strong analytical and problem-solving skills.Excellent written and verbal communication skills; mastery in English and local language.Ability to effectively communicate data insights and negotiate options at senior management levels.Scope & ImpactCollaborates with peers, junior engineers, data scientists and project team.Typically interacts with high- level Individual Contributors, Managers, Directors and Program Core Teams.Leads multiple projects requiring data engineering solutions development.Drives design innovation.Education & ExperienceBachelor's, Master's or PHD degree in Mathematics, Economics, Physics, Computer Science, or equivalent.Typically 2-4 years’ experience including graduate or postgraduate research.JOB REQUIREMENTS:Minimum 2-4  years experience in the fieldProven working experience as a Data Scientist or Data AnalystExpert in using Python for data analytics, SQL DB, ML and data scrappingUiPath Studio knowledge is a plusProven project management experienceTechnical expertise regarding data models, database design development, data mining and segmentation techniquesStrong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc.), programming (XML, Javascript, or ETL frameworks), DatabricksKnowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.)Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracyProactive at queries, report writing and presenting findingsBS in Mathematics, Economics, Computer Science, Information Management or StatisticsCOMPETENCIES:Creativity, problem solving skills, flexibility, organizational and planning skills, effective communication skills, atypical case tolerance, client orientation, working under pressure, influence, team spirit, conflict resolution skills, awareness responsibilities, strong spirit of initiative, perception of emergencies, presentation skills and counseling.Specific skills:Team player attitude, with the ability to work with diverse teams, multiple organizational levels and across business functions.Well-developed problem solving and analytical skills.High level of initiative and motivation.Resourceful, quick learner and dependable.Excellent planning and organizational skills.Resourceful, quick learner and dependable with demonstrated leadership skills.Desired majors include Computer Science, Information Systems, Information Technology, Computer and Construction Engineers.Proficient with Microsoft Office applications.Technical writing, presentation and critical thinking skills to quickly grasp the concepts and components of the pulp and paper industry and process application.Job -SoftwareSchedule -Full timeShift -No shift premium (Romania)Travel -Relocation -EEO Tagline - HP Inc. is EEO F/M/Protected Veteran/ Individual with Disabilities.