Data Scientist

Data Scientist

Objectives:
  • Data Analysis and Modeling
  • Develop and deploy machine learning and artificial intelligence models and algorithms to extract insights, predict outcomes, and optimize processes.  
  • Apply statistical techniques and hypothesis testing to validate findings
  •  Data Strategy and Planning
  •  Feature Engineering
  •  Model Evaluation and Deployment
  •  Cross-Functional Collaboration
  •  Collaborate with business analysts, data engineers, and domain experts to understand and address specific business problems.  
  •  Develop and enforce data security protocols  
 
 
Requirements:
  • Advanced math, statistics, or similar (including the relevant Ph.D. or master’s).
  • Excellent business acumen.
  • Advanced analytics skills, e.g. knowledge of predictive, diagnostic, or sentiment analytics models, etc.
  • In-depth knowledge of machine learning and artificial intelligence algorithms (and their uses).
  • Solid understanding of big data tools, e.g. Apache Spark, Hadoop, SQL, etc.
  • At least one programming language, like Python, R, JavaScript, or C++.
  • Exceptional visualization, communication, and reporting skills, e.g. multimedia reports, dashboards, presentations.