Senior Data Scientist

ROLE:We’re a fast-growing VMS brand in the ecommerce space and we're looking for a top-notch Senior Data Scientist to join our team. As a key member of our Finance team, you'll play a crucial role in understanding our data and driving growth. You'll have the opportunity to work on several high growth initiatives and collaborate with a talented team to help bring our vision to life.As Senior Data Scientist you are responsible for collecting, analyzing, and interpreting complex global data sets for our company to provide data-driven solutions for business decisions. Your duties include developing custom data models, visualizations, and algorithms to interpret data, assessing the accuracy of new data and data-gathering strategies, and implementing and developing tools to monitor and analyze data accuracy and performance. You will work closely with cross-functional teams to extract insights and provide recommendations based on data-driven analysis.This person should have extensive experience:Mining and analyzing data from company databases to improve marketing, product development, or overall business strategiesUsing predictive modeling to optimize revenue growth, marketing campaigns, and customer experiencesDeveloping A/B testing campaign frameworks and testing model qualityCommunicating and coordinating with teams to implement data-driven strategies while measuring progressDesigning data lake & warehouse, understanding Shopify and Amazon Data flow.ESSENTIAL FUNCTIONS:Responsible for collecting, analyzing, and interpreting (global) data setsMonitoring data quality and removing corrupt data organizing and transforming information into comprehensible structuresAssessing the accuracy of new data and data-gathering strategies, and implementing and developing tools to monitor and analyze data accuracy and performanceAccountable for all things data and ensuring the integrity of data backup and storage systemsDesigns, develops, and administers data management solutions by using database management softwareDesign and stand-up data lake and data warehouseDeveloping custom data models, visualizations, and algorithms to interpret dataUsing tools and techniques to visualize data in easy-to-understand formats, such as diagrams and graphsPerforming statistical analysis of global data / datasetsPreparing data driven reports and presenting these to management / stakeholdersCommunicating with stakeholders to understand data content and business requirementsUnderstanding Shopify and AMZ dataflow / data sourcingSupport IT strategy -> AI / Machine learningSKILLS:Excellent verbal and written communication skillsNatural instinct for problem-solving and a desire to learn new techniques and technologiesAbility to create data architecturesProficient in latest technology for IT systems and managementExcellent knowledge of advanced statistical analysis techniques and concepts, and how to apply them to data setsExcellent and proven analytical skillsExcellent organizational skills and attention to detailExcellent interpersonal skillsThorough understanding of IT and practical applications to support the Company’s goalsExperience working in a fast-paced, deadline-driven environmentFlexibility to work as a member of the team and as an individual contributorQUALIFICATIONS AND EDUCATION REQUIREMENTS:PhD or master’s degree in mathematics, computer science, statistics, or other quantitative fieldsHas certifications or continuing education in different tools and technologies such as programming languages, data analysis tools, machine learning, artificial intelligence, or other related technologiesHas experience working with different programming languages such as C, C++, and Java, along with experience in statistical techniques such as Random Forest, Boosting, social network analysis, text mining, and generalized linear modelsOther experience includes statistical computer languages such as R, SQL, and Python, web services like Spark and Redshift, and machine learning algorithms like regression, simulation, modelling, decision trees, and neural networkA minimum of five to seven years of experience building statistical models to communicate to teams and stakeholders5+ years of experience in complex data analysis including but not limited to data-driven pricing strategies, performance marketing, demand generation, among othersStrong analytical and problem-solving skills, with the ability to think critically and draw conclusions from complex data setsExperience with data visualization tools such as Tableau or Power BIExcellent communication skills, with the ability to present complex data in a clear and concise mannerExperience working in a fast-paced, deadline-driven environmentAbility to work independently and in a team environment.PHYSICAL REQUIREMENTS:Prolonged periods of sitting at a desk and working on a computerMust be able to lift up to 15 pounds if needed.

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