OGC is a boutique market research and data analysis consulting firm specializing in customer experience analytics, innovation testing, and data visualization. We are seeking a Data Scientist to join our team.Our mission is to help our clients become more insightful, create happier end customers, and uncover opportunities to grow their businesses. We employ a hands-on approach to research and consulting: we follow a comprehensive discovery process, apply advanced analysis techniques using state-of-the-art tools, draw conclusions collaboratively in cross-functional teams, and utilize workshops to foster action.Our client portfolio is international, with a focus on US-based, Fortune 500 companies, across a variety of industries such as Financial Services, Specialty Retail, Telecommunications, Hospitality, and Software.This position follows East Coast (ET) hours. The ideal candidate for this position is a bright, independent, detail-oriented individual, with a strong analytical background, who is passionate about using data to help customers drive strategic decisions and business improvements. They are a methodological problem solver who is driven by curiosity to find answers to challenging puzzles. We are looking for a candidate who loves working with people, has an excellent business acumen, and who is always eager to learn. Our data scientists are self-starters, with a strong technical background and a deep familiarity with data analysis and quantitative research methodologies.In this role, you will work directly with our clients and deliver consulting projects to senior stakeholders, with the end goal of leveraging data to help our clients drive strategic decisions and business improvements. This position provides an excellent opportunity to apply your strong analytical background to the Market Research and Customer Experience domain while working directly with global, Fortune 500 companies.Responsibilities includeSupport the execution of quantitative research and consulting projects from start to finish including project planning, data analysis, modeling, and building insights-based reportsWork with other data scientists, designers, and project managers on interdisciplinary projects using your skillset to derive structure and knowledge from raw data across various industry sectorsWork on complex and varied data sets from some of the world’s largest organizations to solve real-world problemsDevelop data science products and solutions for clients, as well as for our internal teamClient Communication and engagement including building and delivering insights-based reportsBuild, deploy and automate various algorithms (classification, regression, forecasting) and support the production of automated reports and analysisTransform large volumes of data from internal and external sources in a manner suitable for analysisResearch new data sources, analytical tools, and methodologies for data science and data engineeringPerform complex data analysis in support of ad-hoc and standing requests, focusing on delivering key insightsProvide an expert point of view on analytical techniques and guidance to our analysts and sales directorsRequirementsBachelor’s degree from a top universityMA/MS in Data Science, Computer Science, Business Analytics, or other quantitative field - An advantage4+ years of professional experience as a project-oriented data analyst or scientistExcellent problem-solving skills with the ability to analyze issues, identify causes, and recommend solutions quicklyStrong quantitative background with a high comfort level for learning new technologiesDiverse technical skills including:Python (High Level)Modeling/Machine LearningStatisticsSQLExcel (VBA, Power Pivot, Power Query, DAX - An advantage)Data Visualization (Tableau, PowerBI - An advantage)Demonstrated experience with common Python packages for data analysis and modeling; including Pandas, Numpy, Scikit-learn, XGBoost, Jupyter, Dask, PySpark, etc. - An advantageExpertise in one or more specific data science domains (geospatial analytics, dashboards, text analytics, causal inference, cloud computing, etc.) - An advantageMust speak and write English fluently and idiomatically

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