Data ScientistPurple Drive • Jersey City, NJ, New Jersey, USA
Data Scientist
Purple Drive • Jersey City, NJ, New Jersey, USA
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job_description.job_card.job_descriptionDevelop custom, complex solvers and hybrid algorithms leveraging open-source optimization frameworks. Implement objective functions, constraint models, surrogate models, and penalty formulations. Integrate optimization techniques into ML workflows (hyperparameter tuning, black-box optimization, surrogate modeling). Conduct convergence, sensitivity, robustness, and stability analysis of optimization methods. Scale optimization systems using Python, distributed computing, and numerical acceleration. Communicate complex mathematical concepts to cross-functional audiences. Masters / PhD in Operations Research, Applied Mathematics, Computer Science, Engineering, or related quantitative field. Expertise in nonlinear, global, evolutionary, and multi-objective optimization (e.g., NSGA-II / III, CMA-ES, DE). Strong knowledge of Bayesian Optimization and Gaussian Process modeling. Deep mathematical foundation (numerical methods, probability, linear algebra). Proficiency in the Python scientific ecosystem (NumPy, SciPy, pandas, scikit-learn). Demonstrated ability to design custom solvers for high-dimensional, ambiguous, or poorly behaved optimization landscapes.
Summary
Key Responsibilities
- Formulate complex optimization problems (nonlinear, nonconvex, stochastic, constrained, multi-objective).
- Build advanced optimization pipelines using :
o SciPy Optimize, PySwarms, mystic, pymoo, Bayesian Optimization.
Required Qualifications
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Data Scientist • Jersey City, NJ, New Jersey, USA
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