Data Scientist

  • 37457
  • Life - Data Science
  • |
  • Colorado, United States
  • |
  • Jun 1, 2020
Insurance
RESPONSIBILITIES
  • Design experiments and formulate machine learning problems to address major business challenges and innovation opportunities.
  • Work with product managers and data engineers to discover, collect, cleanse, and refine the data needed for analysis and modeling.
  • Analyze large datasets to extract actionable insights and inform experimental design and model development.
  • Write lucid, compelling summaries to communicate results of your analysis, model development, and testing which inform how the business should act.
  • Collaborate with peers, challenging assumptions and providing constructive criticism and ideas for improvement.
  • Build models using a variety of statistical and machine learning techniques, assessing the best type of model for the problem. Context and using advanced techniques and customizations to optimize model performance.
  • Harden models for production deployment and monitor model performance over time.
QUALIFICATIONS
  • Master’s degree or PhD in computer science, machine learning, data science, mathematics, statistics, or related quantitative field.
  • Three years of experience in a data science or machine learning role.
  • Excellent knowledge of major machine learning algorithms.
  • Fluent in Python and R.
  • Experience with machine learning libraries and platforms, like Scikit-learn and Tensorflow.
  • Solid statistical analysis skills and a good understanding of experimental design.
  • Experience working with data at scale in the Hadoop ecosystem.
  • Ability to analyze data to identify deliverables, gaps and inconsistencies.
  • Communication skills including the ability to identify and communicate data driven insights.
  • Excellent analytical and problem solving skills.
  • Excellent communication skills and the ability to use data to tell a story.
  • Willing to learn and keep pace with the latest advances in data science and machine learning.
  • Attention to detail and results oriented, with a strong customer focus.
  • The ability to work within a team environment.
  • Preferred:
  • Experience leveraging NLP tools and techniques for text mining and natural language understanding.
  • In-depth experience with computer vision applications of machine learning.