Data Scientist

Cleveland, Ohio
Not Specified
Sep 29, 2016
Nov 28, 2016
Actuary, IT
Job Type
Not Specified
Career Level
Not Specified

Title_Data Scientist_

About the OrganizationAmTrust Financial Services, Inc., (Nasdaq: AFSI) headquartered in New York City, is a multinational insurance holding company, which, through its insurance carriers, offers specialty property and casualty insurance products, including workers' compensation, commercial automobile and general liability; extended service and warranty coverage.

PositionData Scientist

LocationOH, Cleveland


AboutAmTrust Financial Services, Inc. was founded in 1998 to provide property and casualty insurance to small businesses. Through acquisitions and organic growth, AmTrust Financial Services has since grown to become a multinational property and casualty insurer specializing in coverage for small to mid-sized businesses. Our financial stability is based upon a philosophy of niche diversity with a focus on low-hazard risk. Since its inception, AmTrust has crafted a balanced portfolio of insurance products including:
  • Multiline Small Business Insurance
  • Warranty and Specialty Risk Insurance
  • Specialty Program Business Insurance We are currently in the process of building a Data Science/Predictive Analytics division within AmTrust from the ground up. Given the unique nature of this start-up, the visibility and opportunites are endless.

    Knowledge and Experience+ Bachelor's degree with quantitative focus in Econometrics, Statistics, Operations Research, Computer Science or related field (e.g. Mathematics) and a minimum of 2 years of relevant experience (including working towards a Masters degree) in Statistical/Quantitative Modeling and/or Machine Learning tools (R, Python, etc) and in using various database tools (e.g. Hadoop, SQL) processing large volumes of structured and unstructured data.
  • Relevant experience in Statistical/Quantitative Modeling and/or Machine Learning tools and in using various database tools processing large volumes of structured and unstructured data
  • A minimum of 2-4 years experience with mathematical model creation and/or evaluation, hypothesis testing and experimental design.
  • Demonstrated skills in data mining, machine learning, programming, dynamic optimization
  • Experience in thought leadership in applying data driven models that had a tangible impact on business
  • Ability to query databases and apply advanced data manipulation techniques across multiple sources
  • Passion for empirical research and answering hard questions with data
  • Strong communication skills, both verbal and written
  • Ability to understand and articulate the “big picture” and simplify complex ideas
  • Solid project management skills and ability to handle multiple projects simultaneously while meeting tight and potentially changing deadlines in a high-paced and dynamic environment
  • Strong problem solving and structuring skills; ability to mine large datasets and surface actionable insights.

    Open Date9/28/2016

    Position Requirements

    Highly Preferred Skills and Experience+ Experience with R, Python, Julia, Scala or similar programming or statistical scripting languages
  • Experience with Unix-like operating systems
  • Experience with Node.js, JQuery, Angular, Bootstrap or similar web application development frameworksExperience with distributed computing systems like Hadoop
  • Experience with NLP or linguistics, machine vision, social network analysis or recommender systems
  • Experience with in-memory database and data transformation tools such as data.table or dplyr (R), pandas (python)
  • A demonstrated command of the concepts of model validation, statistical inference and feature engineering
  • Working knowledge of designing and developing, programming and supporting software programs/applications.
  • Experience with the elevation of statistical models into a production environment # Linkedin


    Req NumberINF-16-00033

    Shift-not applicable-

    Number of Openings1

    Employee Referral Eligible

    Employee Referral PayoutThis position is currently accepting applications.