Data Scientist

Job Title Collaborate with Sales and Marketing teams for the development, execution and delivery of short and long-term customer insights needs to influence media investment strategies and business growth opportunities. Ensure delivery of assigned insights analyses with end-to-end ownership, clear communication, detailed project plans and operational processes that drive visibility & accountability with Sales, Marketing & Analytics stakeholders. Responsible for the development, enhancement, and production of various predictive and Machine Learning driven models to generate behavioral shopper insights, target audiences, and optimized customer journeys. Drive strategic initiatives including identifying issues, creating hypotheses, executing the analysis and translating data into meaningful insights and actions. Develop and present concrete hypothesis-driven impactful deliverables clearly answering the so-what clearly for company's advertisers. Support development of executive level presentations and perspectives. Identify gaps and opportunities for improving existing data sources and engage with broader internal teams to acquire and summarize these sources within the environment. Support the Sales/Marketing teams in managing day-to-day operating activities and special projects. Facilitate the evangelization of the teams charters, plans, and processes across the Sales & Marketing organization. Required Skills • Minimum 3 years of hands-on experience of SQL in Hive/Hadoop/Google Cloud Platform environments • Strong programming skills in R/Python • Must have hands on data analytics experience • Practical experience in mining, analyzing and interpreting data through various statistical techniques and predictive models (e.g. Regression, Time Series, Natural Language Processing, Pattern Recognition, Classification, Segmentation, Deep Learning) • Must have hands-on experience with Microsoft Office Applications (e.g. Excel/PowerPoint) • Experience in developing and presenting strategic, action-oriented oral & written communication - providing recommendations from complex analytics efficiently and engagingly to an executive audience. Basic Qualification - Computer Science, Statistics or related field degree; OR a Master's degree or equivalent in Computer Science, Statistics or related field and 2 years of related experience. - Knowledge of machine learning, information retrieval, data mining, statistics, NLP or related field. - Knowledge of one of the scripting languages such as Python or Perl. - Experience analyzing and interpreting the results of product experiments. Knowledge of statistical languages such as R. - Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, or Spark). - Working knowledge of Relational Data Base Systems and SQL. - Experience managing end-to-end machine learning pipeline from data exploration, feature engineering, model building, performance evaluation, and online testing with big data set. - Excellent communications and organizational skills. - Prior experience in this area with eCommerce or Online Retail would be a plus. Software Technology Inc