Lead Data Scientist

  • 37706
  • Life - Data Science
  • |
  • New York, United States
  • |
  • Jul 9, 2020
Insurance
RESPONSIBILITIES
  • Set strategy and assume a leadership role in a domain of expertise.
  • Develop roadmaps for projects and services, data, and technology.
  • Oversee operations of algorithm and system deployments.
  • Partner with executive leadership to ensure alignment of data science initiatives and company strategy.
  • Lead projects and research initiatives.
  • Develop algorithms and predictive models, create prototype systems, visualizations, and web applications.
  • Design and analyze experiments.
  • Assemble data sets from disparate sources and analyze using appropriate quantitative methodologies, computational frameworks and systems.
  • Disseminate findings to non-technical audiences through a variety of media, including interactive visualizations, reports and presentations.
  • Mentor junior team members.
QUALIFICATIONS
  • Industry recognized expertise.
  • 7+ years working with data and relevant computational frameworks and systems.
  • 7+ years developing of probabilistic models and machine learning algorithms.
  • Proficient level of understanding in the following areas and an expert in at least one: machine learning, probability and statistics, natural language processing, operations research.
  • Exceptional problem solving skills and willingness to learn new concepts, methods, and technologies.
  • Expert in data analysis using R or Python programming languages.
  • Knowledge of HTML/CSS/JavaScript, d3.js and web application frameworks.
  • Knowledge of NoSQL systems, Hadoop/map-reduce, Spark, Hbase, etc.
  • Experience in database design and SQL.
  • Ability to work in a highly collaborative environment.
  • Outstanding communication skills.
  • M.S. or Ph.D. in a quantitative discipline is required.