Machine Learning Engineer - (Doctorate degree / 10+ Years experience)- Hybrid 3 Days a week onsite
"Work sponsorship is NOT available for this position. Applicants must be authorized to work in the United States without sponsorship"NO THIRD PARTIES PLSTHIS IS A DIRECT CLIENT REQUIREMENT !Those authorized to work without sponsorship are encouraged to apply please.Reach Saakshi Sahni - 703-955-1070Email: saakshi(at)zilliontechnologies(dot)com // 7039551070Quantitative Risk Modeler / Data Scientist$$ BEST RATES AVAIALBLE $$Duration: Long Term Ongoing Project with NO end DateDirect Banking ClientHybrid 2 Days a week onsite in Vienna , VA // 3 days RemoteJob Description:10+ years experience and/or doctorate degree requiredQualifications: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 algorithmsDesired: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 // 7039551070Thanks,Saakshi SahniZillion Technologies Inc.Director - Talent AcquisitionEmail: saakshi(at)zilliontechnologies(dot)com // 703-955-1070"Zillion Technologies is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable federal, state, or local law."