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Data Scientist

  • Location

    New York City

  • Sector:

    Data Science

  • Contact:

    Jamie Bernard

  • Contact email:

    jamie@intelletec.com

  • Consultant:

    Jamie Bernard

Intelletec has partnered with a well known gloabl invemestment management firm growing their Technology Development group.

Their ideal hire is someone who seeks data, gains opinions on industry trends and solves problems. 

 

Responsibilities:

  • Drive adoption of Data Science techniques within investments domain
  • Investigate complex business problems through data preparation, modeling and analysis
  • Work across firm to enable data scientists to learn and adopt best practices and new technologies
  • Represent the data science community at internal and external forums
  • Stays abreast of industry trends, driving leading edge changes and championing firm adoption of new technologies
  • Is held accountable for realizing broader strategy within the Data Science community at the firm
  • Leads the firm’s most ambitious, business critical and/or complex Data Science projects

Domain Experience and Soft Skills:

  • Current or prior experience as a Data Scientist in the investments/asset management or financial services domain helpful
  • Ability to successfully partner and communicate with all levels of an organization
  • Fluency in the languages of data manipulation (e.g. SQL) and statistical analysis (e.g. R or Python/NumPy), with ability to code a plus: e.g. Java, Ruby, Clojure, Matlab, Pig or SQL
  • Natural Language Processing, Machine Learning, Statistical analysis & Predictive modeling
  • Ability to collaborate and communicate effectively both with IT, with business management and a demonstrated ability to influence and impact the business
  • Strong interpersonal skills and ability to forge relationships resulting in successful partnerships
  • Strong negotiation skills, business acumen and customer focused
  • Confident communicator; able to argue a point concisely and deal positively with conflicting views
  • Enthusiasm for learning & results oriented