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Junior Data Scientist

Indeed
Full-time
Onsite
No experience limit
No degree limit
Prta del Sol, 4, Centro, 28013 Madrid, Spain
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Description

Summary: Join a high-performing team as a Junior Data Scientist to apply data-driven strategy and analytics to solve client business problems and improve customer experience. Highlights: 1. Opportunity to apply strong analytical background to Market Research and CX 2. Work directly with global, Fortune 500 companies 3. Implement a hands-on approach to research and consulting OGC is a boutique research and consulting agency specializing in data\-driven strategy, quantitative analytics, and Customer Experience (CX) program design and optimization. We work with some of the world’s largest organizations across a variety of industries, including Financial Services, Specialty Retail, Telecommunications, Hospitality and Software, helping them to gain a deep understanding of their customers, develop actionable insights, and improve business processes. We are seeking a full\-time Junior Data Scientist to join our team. This role provides a great opportunity for a dynamic, self\-starter individual to become part of a high\-performing team, and implement a hands\-on approach to research and consulting, in order to help our clients become more insightful, uncover opportunities to grow their businesses, and create happier end\-customers. This is a full time, remote position based out of Spain, but will require working U.S. East Coast hours. **About the role** The ideal candidate for this position is a bright, independent, detail\-oriented individual, with a strong analytical and technical background, who is passionate about using data to help our clients drive strategic decisions and business improvements. You will work directly with clients and deliver consulting projects to senior stakeholders and have an opportunity to apply your strong analytical background to the Market Research and Customer Experience spaces, while working directly with global, Fortune 500 companies. **Responsibilities:** * Support in execution of quantitative research and consulting projects from start to finish: + Project design and preparation + Financial Modeling + Data analysis + Building insights\-based reports * Client Communication and engagement including building and delivering insights\-based reports * Develop data science solutions for clients and our internal team including: + Build, deploy and automate various models (classification, regression, forecasting) + Transform large volumes of data from internal and external systems in a manner suitable for analysis + Research new data sources, analytical tools, and DS methodologies + Provide an expert point of view on analytical techniques and guidance to other analysts and our sales directors * Work with our team on interdisciplinary projects using math, statistics and machine learning, to derive structure and insights from raw data across various industry sectors and help solve real world problems * Work with the team to turn complex models into user\-focused visualizations * BA/BS from a top university with outstanding grades, preferably in Computer Science, Statistics, Math, Finance, or a related field. MA/MSc – an advantage * 3\-5 years of experience in data analysis * Strong technical background with a high comfort level with new technologies * Excellent quantitative skills * High level and advanced Excel skills (functions, charts, sorting and pulling data by logical conditions, VBA) * Programming and BI Familiarity (e.g., Python **(must)**, SQL, Tableau, Qlik) * Experience with a statistical package (e.g., R, STATA, SPSS) * Familiarity with CX tools (e.g., Medallia, Qualtrics) \- An advantage * Experience with Conjoint studies\- An advantage * Exceptional attention to details * Must speak and write English fluently and idiomatically * Ability to summarize findings and reveal patterns in data * Strong sense of design in structuring PowerPoint presentations * Capable of working both independently on projects and collaborating with a team

Source:  indeed View original post
David Muñoz
Indeed · HR

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