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Data Scientist - New Jersey (Onsite from Day 1) - Only local candidates
Data Scientist - New Jersey (Onsite from Day 1) - Only local candidatesLorven technologies • New Brunswick, NJ, United States
Data Scientist - New Jersey (Onsite from Day 1) - Only local candidates

Data Scientist - New Jersey (Onsite from Day 1) - Only local candidates

Lorven technologies • New Brunswick, NJ, United States
4 hours ago
Job type
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  • Part-time
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Job description

Job Title : Data Scientist

Location : New Jersey (Onsite from Day 1) - Only local candidates

Job Type : Long-term contract

Key Responsibilities

  • Formulate complex optimisation problems (nonlinear, nonconvex, stochastic, constrained, multi-objective).
  • Build advanced optimisation pipelines using :
  • SciPy Optimise, PySwarms, mystic, pymoo, Bayesian Optimisation.
  • Develop custom, complex solvers and hybrid algorithms leveraging open-source optimisation frameworks.
  • Implement objective functions, constraint models, surrogate models, and penalty formulations.
  • Integrate optimisation techniques into ML workflows (hyperparameter tuning, black-box optimisation, surrogate modelling).
  • Conduct convergence, sensitivity, robustness, and stability analysis of optimisation methods.
  • Scale optimisation systems using Python, distributed computing, and numerical acceleration.
  • Communicate complex mathematical concepts to cross-functional audiences.

Required Qualifications

  • Master's / PhD in Operations Research, Applied Mathematics, Computer Science, Engineering, or related quantitative field.
  • Expertise in nonlinear, global, evolutionary, and multi-objective optimisation (e.g., NSGA-II / III, CMA-ES, DE).
  • Strong knowledge of Bayesian Optimisation and Gaussian Process modelling.
  • 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 optimisation landscapes
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    Data Scientist • New Brunswick, NJ, United States

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