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Data Scientist

Jersey City, New Jersey
  • Develop a deep understanding of business data-sets through a combination of database queries, and exploratory statistical analysis and visualization
  • Formulate business needs as data science problems where applicable and effectively communicate them to peers, managers and key stakeholders, including the benefits and limitations of models.
  • Design and develop Machine Learning models and algorithms that drive performance and provide insights, from prototyping to production deployment, across key areas of interest to the company
  • Partner closely with Infrastructure and Application teams to help develop architecture and implementation of modeling efforts to ensure performance and scalability
  • Experience working with data sets; processing, analyzing, and communicating results.
  • Ability to clearly explain findings from complex analyses in case studies and through visualizations
  • A passion for empirical research and for answering hard questions with data in a clear and precise way
  • Ability to take high level, loosely-defined business problems and identify precise, quantitative solutions
  • Familiarity with relational databases and SQL, data transformation (ETL), data mining, ad-hoc analysis
  • Experience conducting methods using any of the following: machine learning, predictive modeling, statistical inference, experimental design, data mining, and optimization
  • Solid understanding of a broad range of Regression techniques
  • Experience coding with at least two of the following: R, Python (including scientific libraries SciPy, Scikit, Pandas, and NumPy preferred), Scala, and SQL languages for interactions with relational databases
  • [Desired] Experience in Linux/Unix environment and shell scripting
  • [Desired] Familiarity with Big Data platforms such as Hadoop, Spark, building data warehouses and data lakes in Amazon Web Services and/or Microsoft Azure
  • Ability to communicate results and progress internally and externally in meetings, presentations, and tech talks
  • Minimum of a Bachelor’s Degree in a quantitative field (computer science, mathematics, statistics, physics, engineering, etc.); research experience or relevant graduate studies a plus.

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