Data Scientist - M (Great Neck)


: $115,435.00 - $200,310.00 /year *

Employment Type

: Full-Time


: Information Technology

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Data Scientist

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.


-Manage large amounts of complex data and run quantitative queries.

-Identify unique data sets, deep dive into a diverse set of data.

-Build statistical analysis and financial modeling techniques to large data sets.


-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.

-Python and Pandas programming capabilities.

-Prior experience working or Internship at a Financial firm or leading technology firm is a plus.

-Proficiency with statistical and data analysis and programming tools such as R, SAS, Stata, SQL or Matlab.

*Will Relocate The Right Candidate! Will Sponsor Visa s. 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. Top computer science program preferred (Carnegie Mellon University, Massachusetts Institute of Technology/MIT, Stanford University, University of California-Berkeley, Cornell University, University of Illinois-Urbana-Champaign, Princeton University, University of Washington, University of Texas-Austin, Georgia Institute of Technology, California Institute of Technology, University of Wisconsin-Madison, University of Michigan-Ann Arbor, etc.

- provided by Dice
Associated topics: artificial intelligence, computer science, informatic, javascript, matlab, photonics, programmer, programming, python, robotics * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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