ECommerce Pricing Analytics Lead

ECommerce Pricing Analytics LeadDescription -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.The eCommerce Pricing Analytics Lead will work closely with pricing decision makers to accurately and systematically evaluate optimal price recommendation to grow Sales and Optimize margin.To properly value these price points, you will help and maintain various price models that best reflect customer preferences for each SKU features and effectively respond to constantly changing consumer demand, supply headwinds, and other global/local market conditions. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments.ResponsibilitiesAnalyze, validate, and apply feature engineering to large and complex pricing-related data setsLeverage statistical / machine learning techniques and sound reasoning to develop, validate, and improve predictive modelsDesign controlled experiments to assess the business value of new modelsPresent insights and recommendations to senior leaders to drive changeResearch innovations and best practices related to data sources, modeling methodologies, and data science tools (Random Forecast, Log-Linear, ARIMA, FB Prophet, KNN, Light GBM, Stacked ML, etc.)Influence the team in the development of our modeling capability strategic roadmapEffectively communicate how our models work to team members, both at a general level and a detailed level  Analyze market trends, including competitors’ prices, consumer habits, marketing strategies, and profitabilityDeliver informed decisions about the appropriate price points for various products based on the analysis of internal and external dataBuild data visualizations and establish processes to bring scalable insights closer to actionDevelop & maintain Forecasting models Provides domain-specific expertise and overall data systems leadership and perspective to cross-organization projects, programs, and activities.Drives innovation and integration of new technologies into projects and activities in the big data space.Provides guidance and mentoring to less experienced staff members.Knowledge & SkillsProven results in end-to-end technical project management within the analytics ecosystem translating business problems into technical requirements across disciplines ranging from data engineering, data science, platforms, and system integrations.Strong modeling skills and a desire to continue to grow those skillsExceptional logical reasoning skills & Passion for using analytics in problem-solvingSolid foundational math, computer science, and machine learning skillsExperience managing your own projects and delivering timely resultsRecord of building and maintaining strong working relationshipsAbility to explain standard or novel modeling methodsExcellent written and verbal communication skills; mastery in English and local language.Ability to distill problems and constraints from informal business requirements and to craft an analytic approach to solving the issueAdvanced in SQL, Python, and other data systemsProficiency in understanding eCommerce, NPD , Competition data , Clickstream, GCP related dataProficiency in verbal and written communication with senior and executive leadershipMust be passionate about contributing to an organization focused on continuously improving consumer experiencesComprehensive knowledge of Microsoft Office Applications including Word, Excel, Access, and PowerPointScope & ImpactCollaborates with peers, junior engineers, data scientists, and project teams.Typically interacts with high-level Individual Contributors, Managers, Directors, and Program Core Teams.Focus on creating Impact and driving the changeEducation & ExperienceFour-year undergraduate degree with exceptional academic performance (Master or Ph.D. in an analytical field is a plus)Masters in Economics, Quantitative Marketing, Operations Research, Management Science, or related fieldTypically 6-10+ years experience.A natural curiosity and desire to learn#LI-POSTJob -SoftwareSchedule -Full timeShift -No shift premium (United States of America)Travel -Relocation -YesEEO Tagline - HP Inc. is EEO F/M/Protected Veteran/ Individual with Disabilities.