Requirements: - bs in highly quantitative field such as computer science, computer engineering, mathematics, physics, economics, or related field - 5+ years of real world or research experience in data science. - statistics knowledge, e. g. : descriptive analysis and supervised and unsupervised analysis - experience with big data technologies - experience in model development and life - cycle - management in one or more - programming skills in various languages (c++, scala, java, r, sas) with proficiency in python - understanding of machine learning, e. g. : linear/logistics regression discriminant analysis, bagging, random forest, bayesian model, svm, neural networks, etc. - experience with common data science toolkits, such as numpy, sparkml, scikitlearn, etc. - familiarity in using query languages such as sql, hive - data mining; strong data skills, with ability to conduct substantial data munging/engineering. prefered but not required: - knowledge and skills in the use of current state of the art machine learning frameworks such as h2o, keras, tensorflow and spark, etc. - demonstrated ability to implement new algorithms and methodologies from leading open source initiatives - experience with data visualization and dashboard creation is a plus such as tableau - ability to work independently with high energy, enthusiasm and persistence - experience in writing and presenting results - fast learner; curiosity and a voracious appetite to learn - ability to work in a collaborative environment - hadoop - ased technologies (e. g. mapreduce, hive ...
Requisitos: **requirements**: - 6+ years of marketing, web, or customer analytics experience - strong knowledge of multiple digital channels and how they work together (sem, seo, cro, social, shopping, display, etc. ) - experience across various verticals including e - commerce and lead generation - strong analytical skills, proficient with microsoft excel and data analysis - proficient using tableau software - experience working with and utilizing google analytics and attribution solutions - effective time management and project management skills - actividades a realizar: our senior digital analyst will be responsible for assisting with program development, optimization opportunities, and possible testing activities. drives analysis of marketing campaigns and initiatives to identify tactics for optimizing marketing, marketing efficiency and marketing effectiveness. supports integrated media and channel team members in the execution of the marketing strategy and analytics. defines success metrics, makes assessments of marketing channels and operations and helps with marketing campaign optimization efforts. provides reports, dashboards, and ad - hoc analyses with recommendations. - collects data to measure & analyze return - on - investment across several key marketing and usiness initiatives - perform campaign data analysis to understand the lift & roi associated with each program to aid in the development of future strategies - provide recommendations on analytical methodologies and frameworks to be utilized for a various analytical projects - ...
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