Data Scientist / Data Architect
Location: GR, I, Athens
Department: R&D
Employment type: Full-time
Required experience: Not Applicable
Required education: Master's Degree
Industry: Information Technology and Services
Function: Data Analyst
Description: Intale SA is a dynamic technology company located in Athens, whose products and services act as the main pillar of a sustainable and interactive communication that bridges the gap among retail industry brands, the point of sale and the end consumer. Our solutions bring FMCG corporations closer to the unstructured retail channel, such as grocery stores, corner and convenience shops connecting and streamlining the retail industry via our unified Business Intelligence and communication platform.We are looking for a Data Scientist or Data Architect that can create end-to-end data mining solutions to support our business initiatives and build analytics models to extract signals from retail data being part of the R&D team. The Data Scientist must be able to understand the business requirements and use cases of the customer and apply their knowledge around analytics and statistics to solve complex business and data problems. Furthermore, the Data Scientist should lead the customer in determining the relevant and compelling questions to ask. In this way, the data scientist helps a customer understand the potential meaning that can be extracted from their data by applying big data analytics.The Data Scientist must be fluent in data mining algorithms and possess a deep knowledge of database modeling principles. The selected candidate will form an integral part of our organization and will be pivotal in pushing our platform offering to new limits.
Requirements: REQUIRED QUALIFICATIONS:PhD in Data Science, Machine Learning, Statistics, Applied Mathematics, Algorithms, or a related field OR alternatively, an MSc in a related field with 5+ years proven research experienceStrong knowledge of data mining algorithms (decision trees, clustering, regression analysis, neural networks, pattern analysis, outlier analysis, optimization techniques, etc)Ability to perform advanced analytics on large unstructured and structured data sets to measure, interpret and predict trends and patterns to inform on key decisions (e.g. financial, budget, outcomes, and impact).Ability to research and design statistical models to answer target questions, optimize processes & outcomes and inform decision-making.Ability to explore and apply new data visualization techniques to increase insight and visibility to data trends and opportunities.Demonstrated experience using data mining to solve business problemsData Modeling and Data Warehousing (modeling, design, integration, replication, processing, cloud computing, unstructured Data) experienceGood knowledge of software development and programming language. Examples: SQL, Matlab, Mathematica, SPSS, SAS, R, Python, Scripting LanguagesAbility to view data through a quantitative lens and derive insights from dataAttention to detail and data accuracyExcellent use of the English language (written and oral)DESIRED QUALIFICATIONS:Predictive Analytics (statistical analysis, modeling, etc.)Experienced in advanced methods for forecasting, data classification and pattern recognition (e.g. regression analysis, logistic regression, survival and reliability analysis, Auto-Regressive Integrated Moving Average (ARIMA) modeling etc.)Conduct applied research in Big Data and high impact business problems.Business Intelligence (reporting, dashboards, visualization, etc.)Innovation thinking with good sense of customer focus and Business acumenKnowledge of the business across the value chain, from marketing, sales, distribution, operations, products, finance, etc.Ability to generate static and dynamic visualizations in a variety of visual mediaAbility to work independently and in a multicultural team to design innovate solution for challenging problemsAbility to engage with senior management and translate the data-driven insights into decisions and actions
Benefits: You will lead a fast growing R&D team hence communication, organizational and team working skills are of tantamount importance to the success of this role. For your hard work and dedication, you will be rewarded with a competitive salary, excellent benefits and many other cool perks! Also, you will get the chance to join an amazing working environment, and a fast growing company with a clear business plan for success. You definitely want to be a part of this tremendous growth opportunity where SaaS, Big Data, and Business Intelligence all meet! You will play a key role in developing a set of tools and platforms that will be utilized by our organization and international clientele.The research project is co-financed by Greece and the European Union (European Social Fund) O.P. 'Human Resources Development' - NSFR 2007-2013.Candidates should hold a valid OAED unemployment card, and for freelancers, no invoice should have been issued for the last six months.This is an immediate hire position. Please apply by 9th of November.
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