Data Scientist Media and Search Science in Bucuresti

The CompanyHP is a Fortune 100 technology company with $58+ Billion in revenue, with over 50,000 employees operating in more than 170 countries around the world. We provide technology and services that help people and companies address their problems and challenges, and realize their possibilities, aspirations, and dreams. We apply new thinking and ideas to create simpler, more valuable, and trusted experiences with technology, continuously improving the way our customers live and work.Who We AreOur 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.What we offerExciting experience with data science’s and analytics’ hottest topics: HP’s Analytics team is covering wide range of exciting, fast-growing and business critical areas such as: Big Data SKU level pricing (in a space of millions of transactions), SEM/Display optimization in the world leading channels platforms (e.g. Google, Amazon, JD…) and predictive analytics in the area of sales management (which accounts to target with what offer …).We're looking fo the next Data Scientist Media and Search Science that takes over for the responsabilities below:ResponsibilitiesMines data using modern tools and programming languages.Defines and implements models to uncover patterns and predictions creating business value and innovation.Works with the business to understand the business domain perspective.Effectively tells stories with the data using visualization tools/methods to demonstrate insight impact and business value.Assures accuracy, integrity, and compliance of cleansed data.Maintains proficiency within the data science domain by keeping up with technology and trend shifts.Leads a project team of data science professionalsCollaborates and communicates with project team regarding project progress and issue resolution.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.Knowledge & SkillsExperience in digital analytics and strong background in search advanced analytics.Understanding of how to manage disparate unstructured and structured data in a distributed environment.Experienced in structured and unstructured data and modern data transformation methodologies.Ability to create advanced analytics models to pull valuable insights from data.Create stories and visualizations to describe and communicate data insights.Ability to use creativity to spot trends and tease out patterns in large datasets.Solid data modeling experience is required with proven application in applying Decision Trees, Regression analysis, Neural Network and other data mining techniques, experience with time series and experimental design. Ability to apply advanced statistical methodologies such as mixed model (random and fixed effects), simultaneous equations, time series based methods (ARIMA, Causal Autoregressive Mixed Models), neural networks, and multinomial discrete choice. Experience developing and implementing machine learning techniques in real time (e.g. API, PMML, Java, C, RPMML).Advanced hands on experience in Statistical Software (e.g. SAS, R, Python) and big data environments (e.g. cloud (e.g. AWS, Azure), and on-prem (e.g. Hadoop). Ability to comprehend and apply principles of advanced calculus, machine learning and advanced other statistical theory. Work effectively in cross-functional teams, having demonstrated strong partnerships with both internal and external business partners and alliances.Demonstrated ability to collect and organize data, work effectively with complex relational databases, conduct analysis and report on and apply results to “actionable insights/recommendations.”Scope & ImpactCollaborates with peers, junior engineers, data scientists and project team.Typically interacts with high-level Individual Contributors, Managers and Program Teams.Leads a project requiring data engineering solutions development.Education & ExperienceMaster's or PHD degree in Mathematics, Economics, Physics, Computer Science, or equivalent.Typically 4-6 years’ experience including graduate or postgraduate research.About HP You’re out to reimagine and reinvent what’s possible—in your career as well as the world around you.Soare we. We love taking on tough challenges, disrupting the status quo,and creating what’s next. We’re in search of talented people who areinspired by big challenges, driven to learn and grow, and dedicated tomaking a meaningful difference. HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere. Our history: HP’s commitment to diversity, equity and inclusion – it's just who we are.From the boardroom to factory floor, we create a culture where everyone isrespected and where people can be themselves, while being a part ofsomething bigger than themselves. We celebrate the notion that you canbelong at HP and bring your authentic self to work each and every day.When you do that, you’re more innovative and that helps grow our bottomline. Come to HP and thrive!