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Data Scientist with Machine Learning and R -Boston 534 views

Title:- Data Scientist Location:-Boston, MA Job Description:- Solve the business problems by advanced mathematical modeling to predict outcomes of high impact business decisions. Cooperate with BI teams across the organization in finding insights and developing the right data solutions. Effective at organizing large amounts of data from multiple data sources and build predictive and machine learning models from these large data sets, in order to support solutions of business problems. Should have a passion for data quality and attention to detail. Research, design, and implement predictive models and classifiers built off of billions of rows of data Routinely and effectively partner with business team to define key business questions and build the models and data sets that answer these questions Lead identification of trends and KPI s with the objective of improving marketing performance Work with junior data analysts and demonstrate Data Science and development best practices Must Have: An M.S., P.H.D., or equivalent experience in a related discipline Experience in Python, R, or other Data Science object oriented programming language Experience with applying machine learning techniques at scale and their tuning parameters (Neural Networks, Random Forest, Bayesian Models, K-Means Clustering) 5 years of experience applying Machine Learning, Statistical Modeling, and Data Mining Experience with SQL, NoSQL, and unstructured databases (MySQL, Hadoop, Redshift, MongoDB) Hands on experience with software design for scalability, reliability, and performance Proven track record in developing mathematical models to predict business outcomes and determine cause and effect relationships Must be organized, driven, and exhibit critical thinking skills. Must have an entrepreneurial and self-starting mentality. Nice to Have: Experience in working with digital marketing channels in an eCommerce environment. Knowledge of / experience with multi-channel and cross-channel attribution. – provided by Dice

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