Lead Data Scientist (VP) for Research

Barclays

Overall Purpose of the Role       

We’re looking for people interested in working in a quickly-changing environment where they can help define their role.

Main duties and responsibilities

In this position, you’ll:

  • Coordinate with stakeholders to do high-impact analyses and build products in collaboration with a research specialist, and with support from engineering
  • Turn stakeholder discussions into project ideas, and help plan and prioritize their execution
  • Lead roadmapping and planning data projects
  • Plan and help execute development and exploration of new and existing datasets for application to investment research, with support from the rest of the data team
  • Evaluate data sources and providers for reliability, quality, and usefulness
  • Present analyses to stakeholders in research and product
  • Help turn models and analyses into data-driven products where your focus can shift more or less toward each of these points depending on your strengths!

Basic Qualifications

  • PhD, MS, or 3+ years experience in computer science, applied mathematics, or other quantitative/computational discipline.
  • Experience with building data products and participation in sprint-based agile development
  • 3+ years experience with open source machine learning or statistical analysis tools
  • 3+ years coding experience, Python preferred.
  • 2+ years experience using standard development tools, including Git and JIRA (or similar)
  • Experience mentoring colleagues in data science, including problem-solving and pair-coding
  • Data engineering experience, including SQL and manipulating large structured or unstructured datasets for analysis.
  • Advanced undergraduate or higher coursework in Statistics or Probability Theory as well as Linear Algebra
  • Ability to communicate complex ideas to a non-technical audience.
  • A preference for using fast, simple approaches over complex approaches to hard problems
  • Eagerness to develop a culture around alternative data sources
  • The ability to establish new workflows for new problems
  • The desire to continue expanding your skill set to include new math methods and computational methods

Preferred Qualifications

  • Experience working with unstructured data and natural language processing
  • Experience with large-scale data analysis (e.g. with cluster frameworks or online analysis methods)
  • Experience with methods for causal inference with non-experimental data

To apply for this job please visit barclays.taleo.net.