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VP, Lead Data Scientist

Company: Strivector
Location: Schaumburg
Posted on: March 20, 2023

Job Description:

Job Description

Strivector specializes in catering to your specific desired company culture and purpose-filled job needs.

We help our clients meet their fast-growing business, new and existing positions with talented individuals like you.

Strivector works alongside Fortune 500, mid-sized and Start-ups for full-time and contract positions; on our list of companies, we have Bank of America, Fannie Mae, Philips, Smith & Nephew, Arthrex.
This is a VP, Lead Data Scientist role will put the science into the decision-making process. Priorities can change in a fast-paced environment . As a VP, Lead Data Scientist your roles and responsibilities will include:

  • Being the trusted expert charged with evolving our data science roadmap for all software and engineering analytics
  • Develop novel research to qualitatively deduce and draw conclusions from data to directly influence feature design, business models, UX and process heuristics
  • Be able to formulate problems well, prototype solutions, make reasonable assumptions in the face of ill-structured problems, design solutions and analyze results
  • Design and implement predictive models and simulations to optimize business decisions
  • Build and design Machine Learning systems and AI products to optimize underwriting and claims use cases
  • Create an experimentation platform and methodology to allow for the agile, but safe, testing of all software features
  • Provide technical leadership and mentorship to data scientists with a wide range of backgrounds
  • Democratize and socialize learning by acting as editor of a centralized learning repository
  • Understand stakeholder needs and educate partners on the formulation of research questions and methodologies
  • Evangelize our data science practice outside the company to increase visibility, attract data portal customers, and recruit new talent
  • Increase technical proficiency and data science literacy DESIRED SKILLS AND EXPERIENCE
    Most importantly, you need to be a passionate VP, Lead Data Scientist who enjoys his work and is considered to be one of the best within your organization. An ideal VP, Lead Data Scientist would be someone with deep experience in many (if not all) of the following:
    • Bachelor's Degree and 10 or more years of experience in the Statistical and/or Predictive Analytics area
    • Ph.D. in Statistics, Computer Science, or related quantitative areas
    • Extensive hands-on experience in building and executing complex analytical and statistical projects and analyses using advanced statistical modeling techniques in a business setting
    • Comfort manipulating and analyzing sophisticated, high-volume, high-dimensionality data from varying sources, including both structured and unstructured data
    • The ability to demonstrate proficient knowledge of machine and deep learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests, Regularization Regressions
    • Experience developing AI algorithms and products with Natural Language Processing, Computer Vision, Image/Voice Recognition, Unsupervised Process and Pattern Mining using popular AI/ML frameworks
    • A strong design thinking in user experience and interface
    • A strong passion for empirical research and for answering hard questions with data
    • A flexible analytic approach that allows for results at varying levels of precision
    • Ability to communicate sophisticated quantitative analysis in a clear, detailed, and meaningful manner using data visualization techniques
    • Experience in insurance-specific predictive analytics
    • Track record of developing distinctive business impact through analytics
    • Proficiency with Python and SQL
    • Experience working with large data sets, experience working with distributed computing tools (Map/Reduce, Hadoop, Hive, etc.) and Machine Learning pipelines (Spark, DASK, Argo, etc.)
    • Cultivates open, inclusive culture that supports learning and encourages collaboration. We understand that even if you are a seasoned VP, Lead Data Scientist you may not have all the skills listed here. If you are a good at what you do and have a willingness to learn, let's talk.

      Compensation: Based on Experience. One of the best in the industry
      Minimum Education: Bachelor's degree.
      Minimum Experience: 10+ years of experience.
      Type of position: Full time Permanent Position with benefits
      Telecommute: Yes
      Locations : Schaumburg, IL
      Relocation accepted: No

Keywords: Strivector, Schaumburg , VP, Lead Data Scientist, Executive , Schaumburg, Illinois

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