Data Scientist / Quantitative Risk Modeler - (Doctorate degree +10+ Years experience)- Hybrid 3 Days a week onsite - LOCALS ONLY

Zillion Technologies, Inc.
Vienna, VA

US CITIZENS / Green Card Holders ONLY

NO THIRD PARTIES PLS


THIS IS A DIRECT CLIENT REQUIREMENT !

Those authorized to work without sponsorship are encouraged to apply please.

Reach Saakshi Sahni - 703-955-1070

Email: saakshi(at)zilliontechnologies(dot)com // 7039551070




Quantitative Risk Modeler / Data Scientist

$$ BEST RATES AVAIALBLE $$

Duration: Long Term Ongoing Project with NO end Date

Direct Banking Client

US CITIZENS / GREEN CARD HOLDERS / EAD GREEN CARD HOLDERS ONLY

Hybrid 2 Days a week onsite in Vienna , VA // 3 days Remote



Job Description:


10+ years experience and/or doctorate degree required

Qualifications:

Doctorate degree in mathematics, physics, or statistics.

Advanced knowledge in probabilistic theory, game theory, dynamic systems theory and related disciplines.

Strong understanding of database design, data mining, and data modeling concepts.

Proven ability to develop effective data visualizations strategies.

Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management.

Excellent understanding of machine learning, statistical modeling, and algorithms

Desired:

Advanced knowledge of principles of algorithmic, Bayesian, Nash, and other related game theory subfields.

Advanced skills with SQL, Python, Jupyter Notebook/Jupyter Lab, Visual Studio Code or other languages/frameworks appropriate for statistical analysis.

Experience working with data visualization applications like PowerBI and Plotly.

Experience working with Cybersecurity Frameworks and related data.


Please send qualified resumes directly to : saakshi(at)zilliontechnologies(dot)com // 7039551070


Thanks,

Saakshi Sahni

Zillion Technologies Inc.

Director - Talent Acquisition

Email: saakshi(at)zilliontechnologies(dot)com // 703-955-1070

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