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Data Scientist
Ref No.: 18-00010
Location: Union, New Jersey
Position Type:Full Time/Contract
Start Date: 05/24/2018

Responsibilities:
 
·         Develop and manage predictive analytics and statistical forecasting models to improve forecast accuracy and bias reduction
·         Design and build KPI reports to support the model performance and business requirements
·         Mine and translate data into meaningful insights and recommendations for the operational and strategic business units
·         Process, cleanse, and verify the integrity of data used for analysis
·         Drive the collection of new data sources and the refinement of existing data sources
·         Analyze, interpret & clearly communicate the results of experiments to business
·         Work with cross-functional teams on the day-to-day execution of data & analytics projects and initiatives
·         Keep up to date with latest technology trends
·         Strong background in statistical concepts including regression analysis, factoring, clustering, decision trees, random forests, neural networks
·         Knowledge of Advance Machine Learning (Deep learning) and Artificial Intelligence (AI) techniques and applications
·         Experience with various data types (e.g. Relational, unstructured, Hierarchical, etc)
·         The ability to communicate complex quantitative analysis in a clear, precise and actionable manner
·         Possess excellent verbal and written communication skills, attention to details, and the ability to multi-task
·         Work independently with minimal supervision
·         Be detail-oriented and comfortable with a fast-paced, structured, retail environment
 
 
Required Knowledge and Experience:                 
 
·         3+ years professional experience in forecasting and data analysis
·         Expert knowledge of statistical methods and analytical techniques
·         Broad knowledge of current statistical forecasting and data mining techniques.
·         Expert knowledge of R open source statistical language
·         Practical experience with SAS, ETL, SQL, data processing, database programming and data analytics
·         Excellent pattern recognition, predictive modeling and Natural Language Processing (NLP) skills
·         Experience with common data science toolkits, such as Python, R, SAS & MatLab
·         Knowledge of data visualization tools, such as SAS Visual Analytics, Tableau, Qlik-View etc.
·         Experience with advanced planning systems a plus
 
Education/Certification:             
 
·         A minimum Master's degree in Statistics, Applied Mathematics, Operations Research, Computer Science, Engineering, Economics or a related field