Data Scientist-JF205

Data Scientist-JF205

Responsibilities  

  • Performs research, analysis, and modeling of organizational data
  • Assists in analyzing key metrics and performing data analysis
  • Builds technical knowledge to support research and analytic responsibilities, including advanced techniques and algorithms
  • Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions
  • Presents findings and analysis for use in decision making
  • Ensures that the delivered products meet the business needs of the company
  • Partners with and provide recommendations to business leadership on the appropriate application of analytics business strategies and effectively communicate analysis and implications to senior leadership  
  • Prioritizes tasks and meets project deadlines in a fast-paced work environment
  • Perform other duties as assigned
  • Conform with all company policies and procedures

Requirements  

  • Master’s Degree in Statistics, Applied Mathematics, Econometrics, Economics, Operations Research, Industrial Engineering, ComputerScience, Physics or similar quantitative field required
  • 1-2 years as Data Scientist or similar quantitative field required
  • Strong quantitative, analytical and data interpretation skills with a solid foundation in mathematics, probability, and statistics.
  • Advanced knowledge and demonstrated understanding of applied methodologies, including least squares regression, logistic regression, sampling methodologies, time series, survival  analysis, cluster analysis, categorical data analysis, decision trees, multivariate methodologies,  non-parametric techniques, principal components, and linear programming techniques
  • Advanced skills in Python, SAS, SQL, R, JMP, Excel, Word, PowerPoint
  • Ability to design and implement model documentation and monitoring protocols
  • Demonstrated understanding and experience with technical systems, datasets, data warehouses, and data analysis techniques  
  • Efficiently work with large datasets

Skills

  • Strong written and verbal presentation skills with an ability to communicate effectively with Senior Management by making complex concepts easy to understand
  • Ability to be curious, ask questions, explore, and be creative when analyzing data and business problems
  • Ability to identify and seek needed information/research skills
  • Analytical thinking skill
  • Ability to interact collaboratively with internal and external customers
  • Capable of managing multiple and varied projects, including the ability to coordinate and balance numerous tasks in a time-sensitive, under pressure  
  • Strong problem-solving skills