Data Scientist - M

Company:  Robotics Technologies LLC
Location: New York
Closing Date: 01/11/2024
Salary: £100 - £125 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Ready to hire! Fantastic opportunity with a very successful company with cutting-edge technology and a staff consisting of many of the brightest quantitative talent in the world. Work alongside the highest caliber of financial and engineering talent and expand their data science capabilities.

Responsibilities:

  1. Manage large amounts of complex data and run quantitative queries.
  2. Identify unique data sets, deep dive into a diverse set of data.
  3. Build statistical analysis and financial modeling techniques to large data sets.

Qualifications:

  1. Master's or PhD degree from a top tier university in a quantitative field such as statistics, mathematics, operational research, computer science, finance or economics.
  2. Python and Pandas programming capabilities.
  3. Prior experience working or Internship at a Financial firm or leading technology firm is a plus.
  4. Proficiency with statistical and data analysis and programming tools such as R, SAS, Stata, SQL or Matlab.

*Will Relocate The Right Candidate! Will Sponsor Visas. Will only consider candidates from top tier computer science universities and/or individuals with a stellar GPA. Bachelor's and/or Master’s degree from a top computer science program with a GPA of 3.5 or higher. PhD preferred.

ROBOTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters.

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