Data Scientist
Jersey City, NJ · On-site
... Bayesian Optimization. • Develop custom, complex solvers and hybrid algorithms leveraging open-source optimization frameworks. • Implement objective functions, constraint models, surrogate models ...
Jersey City, NJ · On-site
... Bayesian Optimization. • Develop custom, complex solvers and hybrid algorithms leveraging open-source optimization frameworks. • Implement objective functions, constraint models, surrogate models ...
Jersey City, NJ · On-site
... Bayesian Optimization. • Develop custom, complex solvers and hybrid algorithms leveraging open-source optimization frameworks. • Implement objective functions, constraint models, surrogate models ...
This role is a specialized technical position focused on applying AI + Physics into predictive modeling, experimental design, and Bayesian optimization to enable faster, more confident decisions in ...
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This role is a specialized technical position focused on applying AI + Physics into predictive modeling, experimental design, and Bayesian optimization to enable faster, more confident decisions in ...
This role is a specialized technical position focused on applying AI + Physics into predictive modeling, experimental design, and Bayesian optimization to enable faster, more confident decisions in ...
This role is a specialized technical position focused on applying AI + Physics into predictive modeling, experimental design, and Bayesian optimization to enable faster, more confident decisions in ...
Wilmington, DE · On-site
$132K/yr
This role is a specialized technical position focused on applying AI + Physics into predictive modeling, experimental design, and Bayesian optimization to enable faster, more confident decisions in ...
Wilmington, DE · On-site
$132K/yr
This role is a specialized technical position focused on applying AI + Physics into predictive modeling, experimental design, and Bayesian optimization to enable faster, more confident decisions in ...
This role is a specialized technical position focused on applying AI + Physics into predictive modeling, experimental design, and Bayesian optimization to enable faster, more confident decisions in ...
This role is a specialized technical position focused on applying AI + Physics into predictive modeling, experimental design, and Bayesian optimization to enable faster, more confident decisions in ...
... and Bayesian Optimization to solve pricing and optimization challenges AI Agents for Pricing Build AIdriven pricing agents that incorporate consumer behaviour demand elasticity and competitive ...
... and Bayesian Optimization to solve pricing and optimization challenges AI Agents for Pricing Build AIdriven pricing agents that incorporate consumer behaviour demand elasticity and competitive ...
San Francisco, CA · Remote
$160K - $200K/yr
Graduate work in an optimization related field (e.g RL, Convex Optimization, Bayesian Optimization), either PhD or Advanced MS degree. * Comfortable with Python, Flask/Django, Pandas and Numpy
San Francisco, CA · Remote
$160K - $200K/yr
Graduate work in an optimization related field (e.g RL, Convex Optimization, Bayesian Optimization), either PhD or Advanced MS degree. * Comfortable with Python, Flask/Django, Pandas and Numpy
Chicago, IL · On-site
We combine sequence-based models and variational autoencoders (VAEs) with Bayesian optimization, using experimental data to rapidly design and refine proteins into impactful therapeutics. The Applied ...
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Chicago, IL · On-site
We combine sequence-based models and variational autoencoders (VAEs) with Bayesian optimization, using experimental data to rapidly design and refine proteins into impactful therapeutics. The Applied ...
Reinforcement Learning Expertise - Develop and apply RL techniques including Contextual Bandits Qlearning SARSA and concepts like Thompson Sampling and Bayesian Optimization to solve pricing and ...
Reinforcement Learning Expertise - Develop and apply RL techniques including Contextual Bandits Qlearning SARSA and concepts like Thompson Sampling and Bayesian Optimization to solve pricing and ...
Develop, maintain, and validate computational models -- including Bayesian optimization, multi-fidelity surrogate modeling, descriptor-based clustering, and physics-informed multi-scale catalyst ...
Develop, maintain, and validate computational models -- including Bayesian optimization, multi-fidelity surrogate modeling, descriptor-based clustering, and physics-informed multi-scale catalyst ...
Cambridge, MA · On-site
$132K - $173K/yr
AI & modeling: property prediction, design spaces, Bayesian optimization, LLM-augmented optimization Your mission is to translate this tech stack into clear narratives, compelling launches, and ...
Cambridge, MA · On-site
$132K - $173K/yr
AI & modeling: property prediction, design spaces, Bayesian optimization, LLM-augmented optimization Your mission is to translate this tech stack into clear narratives, compelling launches, and ...
San Francisco, CA · On-site +1
$160K - $200K/yr
Graduate work in an optimization related field (e.g RL, Convex Optimization, Bayesian Optimization), either PhD or Advanced MS degree. * Comfortable with Python, Flask/Django, Pandas and Numpy
San Francisco, CA · On-site +1
$160K - $200K/yr
Graduate work in an optimization related field (e.g RL, Convex Optimization, Bayesian Optimization), either PhD or Advanced MS degree. * Comfortable with Python, Flask/Django, Pandas and Numpy
Lead adaptive experimentation - contextual bandit systems, Bayesian optimization, automated allocation beyond simple A/B tests. * Drive the platform roadmap with product, design, and data science.
Lead adaptive experimentation - contextual bandit systems, Bayesian optimization, automated allocation beyond simple A/B tests. * Drive the platform roadmap with product, design, and data science.
AI & modeling: property prediction, design spaces, Bayesian optimization, LLM-augmented optimization Your mission is to translate this tech stack into clear narratives, compelling launches, and ...
AI & modeling: property prediction, design spaces, Bayesian optimization, LLM-augmented optimization Your mission is to translate this tech stack into clear narratives, compelling launches, and ...
PyTorch, TensorFlow • Edge AI deployment • Reinforcement learning • Bayesian optimization • Digital twins / simulation modeling • Time-series data systems • Cloud infrastructure (AWS/GCP ...
PyTorch, TensorFlow • Edge AI deployment • Reinforcement learning • Bayesian optimization • Digital twins / simulation modeling • Time-series data systems • Cloud infrastructure (AWS/GCP ...
Billerica, MA · Hybrid
$130K - $160K/yr
Lead inverse design and model-based discovery efforts using Bayesian optimization, diffusion models, or related methods. * Collaborate with scientists to integrate domain knowledge into deep learning ...
Billerica, MA · Hybrid
$130K - $160K/yr
Lead inverse design and model-based discovery efforts using Bayesian optimization, diffusion models, or related methods. * Collaborate with scientists to integrate domain knowledge into deep learning ...
Atlanta, GA · On-site
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Atlanta, GA · On-site
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Billerica, MA · Hybrid
$130K - $160K/yr
Lead inverse design and model-based discovery efforts using Bayesian optimization, diffusion models, or related methods. * Collaborate with scientists to integrate domain knowledge into deep learning ...
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Billerica, MA · Hybrid
$130K - $160K/yr
Lead inverse design and model-based discovery efforts using Bayesian optimization, diffusion models, or related methods. * Collaborate with scientists to integrate domain knowledge into deep learning ...
$57K - $57K/yr
Deliver analysis-ready datasets to support SPD digital initiatives, including process modeling and Bayesian optimization. * Define and enforce data standards, metadata schemas, and ontologies that ...
New
$57K - $57K/yr
Deliver analysis-ready datasets to support SPD digital initiatives, including process modeling and Bayesian optimization. * Define and enforce data standards, metadata schemas, and ontologies that ...
New
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization. * Proficient in NLP techniques, Explainable AI, and ML frameworks.
| Aspect | Bayesian Optimization | Data Scientist |
|---|---|---|
| Primary Focus | Optimizing complex functions and hyperparameters | Analyzing data, building models, deriving insights |
| Required Skills | Statistics, probability, machine learning, programming | Statistics, programming, data analysis, visualization |
| Work Environment | Research labs, AI/ML teams, R&D departments | Business, tech companies, consulting firms |
| Common Tools | Python, R, Bayesian libraries (e.g., GPy, scikit-optimize) | Python, R, SQL, visualization tools |
Bayesian Optimization is a specialized technique used within machine learning and AI to efficiently tune hyperparameters or optimize functions. Data Scientists often utilize Bayesian Optimization as part of their toolkit but have broader responsibilities, including data analysis, modeling, and reporting. While Bayesian Optimization focuses on optimization tasks, Data Scientists work on understanding and interpreting data to inform business decisions.

Full-time
Posted 14 days ago
Sourced by ZipRecruiter
It services
51 - 200 Employees
Irvine, CA, US
2016