... 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 ...
Postdoctoral Researcher - Optimization with Embedded Machine Learning Surrogates
Spring, TX · On-site +1
Experience with derivative-free optimization methods (e.g., NOMAD, Bayesian optimization). * Knowledge of gradient-based nonlinear optimization methods (e.g., SLSQP). * Experience working with large ...
New
Postdoctoral Researcher - Optimization with Embedded Machine Learning Surrogates
Spring, TX · On-site +1
Experience with derivative-free optimization methods (e.g., NOMAD, Bayesian optimization). * Knowledge of gradient-based nonlinear optimization methods (e.g., SLSQP). * Experience working with large ...
New
Postdoctoral Researcher - Optimization with Embedded Machine Learning Surrogates
Spring, TX · On-site +1
Experience with derivative-free optimization methods (e.g., NOMAD, Bayesian optimization). * Knowledge of gradient-based nonlinear optimization methods (e.g., SLSQP). * Experience working with large ...
New
Postdoctoral Researcher - Optimization with Embedded Machine Learning Surrogates
Spring, TX · On-site +1
Experience with derivative-free optimization methods (e.g., NOMAD, Bayesian optimization). * Knowledge of gradient-based nonlinear optimization methods (e.g., SLSQP). * Experience working with large ...
New
Mathematical optimization * Linear optimization concepts * Nonlinear continuous optimization ... Bayesian concepts * Hypotheses testing Education requirements Graduate degree in Applied ...
Mathematical optimization * Linear optimization concepts * Nonlinear continuous optimization ... Bayesian concepts * Hypotheses testing Education requirements Graduate degree in Applied ...
Mathematical optimization * Linear optimization concepts * Nonlinear continuous optimization ... Bayesian concepts * Hypotheses testing Education requirements Graduate degree in Applied ...
Mathematical optimization * Linear optimization concepts * Nonlinear continuous optimization ... Bayesian concepts * Hypotheses testing Education requirements Graduate degree in Applied ...
Postdoctoral Fellow - Biostatistics
$64K - $76K/yr
... methods, Bayesian techniques, and adaptive designs to build innovative, next-generation tools for adaptively and efficiently evaluating treatment effectiveness and learning optimal treatment ...
Postdoctoral Fellow - Biostatistics
$64K - $76K/yr
... methods, Bayesian techniques, and adaptive designs to build innovative, next-generation tools for adaptively and efficiently evaluating treatment effectiveness and learning optimal treatment ...
Postdoctoral Fellow - Biostatistics
$64K - $76K/yr
... methods, Bayesian techniques, and adaptive designs to build innovative, next-generation tools for adaptively and efficiently evaluating treatment effectiveness and learning optimal treatment ...
Postdoctoral Fellow - Biostatistics
$64K - $76K/yr
... methods, Bayesian techniques, and adaptive designs to build innovative, next-generation tools for adaptively and efficiently evaluating treatment effectiveness and learning optimal treatment ...
Postdoctoral Fellow - Biostatistics
$64K - $76K/yr
... methods, Bayesian techniques, and adaptive designs to build innovative, next-generation tools for adaptively and efficiently evaluating treatment effectiveness and learning optimal treatment ...
Postdoctoral Fellow - Biostatistics
$64K - $76K/yr
... methods, Bayesian techniques, and adaptive designs to build innovative, next-generation tools for adaptively and efficiently evaluating treatment effectiveness and learning optimal treatment ...
Postdoctoral Fellow - Biostatistics
Houston, TX · On-site
$64K - $76K/yr
... methods, Bayesian techniques, and adaptive designs to build innovative, next-generation tools for adaptively and efficiently evaluating treatment effectiveness and learning optimal treatment ...
Postdoctoral Fellow - Biostatistics
Houston, TX · On-site
$64K - $76K/yr
... methods, Bayesian techniques, and adaptive designs to build innovative, next-generation tools for adaptively and efficiently evaluating treatment effectiveness and learning optimal treatment ...
Senior Analyst, Data Science
Coppell, TX · On-site
$169K - $222K/yr
What You'll Do 1. Bayesian Machine Learning Models AND Deep learning models to define various allocation optimization, price optimization or fulfillment optimization policies; 2. Time Series Modeling ...
Senior Analyst, Data Science
Coppell, TX · On-site
$169K - $222K/yr
What You'll Do 1. Bayesian Machine Learning Models AND Deep learning models to define various allocation optimization, price optimization or fulfillment optimization policies; 2. Time Series Modeling ...
Modeling Scientist
Houston, TX · On-site +1
$100K - $160K/yr
Develop hierarchical and Bayesian approaches to support distributed and iterative model optimization * Apply probabilistic methods to integrate data, models, and uncertainty across scenarios
Modeling Scientist
Houston, TX · On-site +1
$100K - $160K/yr
Develop hierarchical and Bayesian approaches to support distributed and iterative model optimization * Apply probabilistic methods to integrate data, models, and uncertainty across scenarios
Modeling Scientist
Houston, TX · On-site
$100K - $160K/yr
Develop hierarchical and Bayesian approaches to support distributed and iterative model optimization * Apply probabilistic methods to integrate data, models, and uncertainty across scenarios
Modeling Scientist
Houston, TX · On-site
$100K - $160K/yr
Develop hierarchical and Bayesian approaches to support distributed and iterative model optimization * Apply probabilistic methods to integrate data, models, and uncertainty across scenarios
Senior Machine Learning Engineer
$121K - $160K/yr
We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction ... Bayesian Analysis and others to develop and evaluate algorithms for improving product/system ...
Senior Machine Learning Engineer
$121K - $160K/yr
We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction ... Bayesian Analysis and others to develop and evaluate algorithms for improving product/system ...
POSTDOCTORAL RESEARCHER - Epidemiology & Health Data Science and Biostatistics - Luan Lab [Req#: 934
Dallas, TX · On-site
Desired Qualifications • Experience with GeoAI applications in Street View Images and Remote Sensing • Knowledge of (Bayesian) spatial statistics, spatial accessibility, and spatial optimization ...
POSTDOCTORAL RESEARCHER - Epidemiology & Health Data Science and Biostatistics - Luan Lab [Req#: 934
Dallas, TX · On-site
Desired Qualifications • Experience with GeoAI applications in Street View Images and Remote Sensing • Knowledge of (Bayesian) spatial statistics, spatial accessibility, and spatial optimization ...
Data Scientist - eCommerce
San Antonio, TX · On-site
$158K/yr
... MLlib optimization, Cython, JNI, Numba - Technical knowledge in mainstream ML / AI: manifold learning, distributed clustering, graph network, hierarchical model, Bayesian network, deep learning ...
Data Scientist - eCommerce
San Antonio, TX · On-site
$158K/yr
... MLlib optimization, Cython, JNI, Numba - Technical knowledge in mainstream ML / AI: manifold learning, distributed clustering, graph network, hierarchical model, Bayesian network, deep learning ...
... MLlib optimization, Cython, JNI, Numba - Technical knowledge in mainstream ML / AI: manifold learning, distributed clustering, graph network, hierarchical model, Bayesian network, deep learning ...
... MLlib optimization, Cython, JNI, Numba - Technical knowledge in mainstream ML / AI: manifold learning, distributed clustering, graph network, hierarchical model, Bayesian network, deep learning ...
Demographic Data Scientist
Austin, TX · On-site
... optimization, or inference techniques. Strong programming skills in a scripting language (Python, R ... Experience with statistical methods such as Bayesian methods to identify trends and anomalies in ...
Demographic Data Scientist
Austin, TX · On-site
... optimization, or inference techniques. Strong programming skills in a scripting language (Python, R ... Experience with statistical methods such as Bayesian methods to identify trends and anomalies in ...
Senior Analyst, Data Science
$169K - $222K/yr
What you'll do 1. Bayesian Machine Learning Models AND Deep learning models to define various allocation optimization, price optimization or fulfillment optimization policies; 2. Time Series Modeling ...
Senior Analyst, Data Science
$169K - $222K/yr
What you'll do 1. Bayesian Machine Learning Models AND Deep learning models to define various allocation optimization, price optimization or fulfillment optimization policies; 2. Time Series Modeling ...
POSTDOCTORAL RESEARCHER - Epidemiology & Health Data Science and Biostatistics - Luan Lab
Dallas, TX · On-site
Desired Qualifications Experience with GeoAI applications in Street View Images and Remote Sensing Knowledge of (Bayesian) spatial statistics, spatial accessibility, and spatial optimization ...
POSTDOCTORAL RESEARCHER - Epidemiology & Health Data Science and Biostatistics - Luan Lab
Dallas, TX · On-site
Desired Qualifications Experience with GeoAI applications in Street View Images and Remote Sensing Knowledge of (Bayesian) spatial statistics, spatial accessibility, and spatial optimization ...
Experience with statistical methods such as Bayesian methods to identify trends and anomalies in ... optimization, or inference techniques. Strong programming skills in a scripting language (Python, R ...
Experience with statistical methods such as Bayesian methods to identify trends and anomalies in ... optimization, or inference techniques. Strong programming skills in a scripting language (Python, R ...
Bayesian Optimization information
What is the difference between Bayesian Optimization vs Data Scientist?
| 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.
What are popular job titles related to Bayesian Optimization jobs in Texas? For Bayesian Optimization jobs in Texas, the most frequently searched job titles are:
- Junior Machine Learning Engineer
- Internship Machine Learning Engineer New Grad
- Machine Learning Engineer
- Internship Edge Ai Machine Learning
- Remote Java Machine Learning
- Machine Learning Engineer Apprenticeship
- Freelance Edge Ai Machine Learning
- Urgently Hiring Machine Learning Engineer New Grad
- Flexible Remote Machine Learning Engineer
- Embedded Machine Learning Engineer
What job categories do people searching Bayesian Optimization jobs in Texas look for? The top searched job categories for Bayesian Optimization jobs in Texas are:
Sr. ML Scientist (Pricing & Reinforcement Learning)
Plano, TX • On-site
Full-time
Posted yesterday
Job description
About Us:
LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree - a Larsen & Toubro Group company - combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit .
Job Title:
Senior ML Scientist (Pricing Reinforcement Learning)
Work Location:
Plano TX
Work Mode:
Remote
Job Description:
Role Overview
We seek a Senior ML Scientist to drive innovation in AI MLbased dynamic pricing algorithms and personalized offer experiences This role will focus on designing and implementing advanced machine learning models including reinforcement learning techniques like Contextual Bandits Qlearning SARSA and more By leveraging algorithmic expertise in classical ML and statistical methods you will develop solutions that optimize pricing strategies improve customer value and drive measurable business impact
Key Responsibilities
Algorithm Development Conceptualize design and implement state-of-the-art ML models for dynamic pricing and personalized recommendations
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 optimization challenges
AI Agents for Pricing Build AIdriven pricing agents that incorporate consumer behaviour demand elasticity and competitive insights to optimize revenue and conversion
Rapid ML Prototyping Experience in quickly building testing and iterating on ML prototypes to validate ideas and refine algorithms
Feature Engineering Engineer largescale consumer behavioural feature stores to support ML models ensuring scalability and performance
CrossFunctional Collaboration Work closely with Marketing Product and Sales teams to ensure solutions align with strategic objectives and deliver measurable impact
Controlled Experiments Design analyze and troubleshoot AB and multivariate tests to validate the effectiveness of your models
Qualifications
8 years in machine learning 5 years in reinforcement learning recommendation systems pricing algorithms pattern recognition or artificial intelligence
Expertise in classical ML techniques eg Classification Clustering Regression using algorithms like XGBoost Random Forest SVM and KMeans with handson experience in RL methods such as Contextual Bandits Qlearning SARSA and Bayesian approaches for pricing optimization
Proficiency in handling tabular data including sparsity cardinality analysis standardization and encoding
Proficient in Python and SQL including Window Functions Group By Joins and Partitioning
Experience with ML frameworks and libraries such as scikitlearn TensorFlow and PyTorch
Knowledge of controlled experimentation techniques including causal AB testing and multivariate testing
Required Skills:
5+ Yrs Expereince in Pricing Reinforcement Learning
8+ Yrs Experience in Machine Learning
Expert in Python & Tabular Data
SQL
Knowledge of AB Testing
LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree - a Larsen & Toubro Group company - combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit .
Job Title:
Senior ML Scientist (Pricing Reinforcement Learning)
Work Location:
Plano TX
Work Mode:
Remote
Job Description:
Role Overview
We seek a Senior ML Scientist to drive innovation in AI MLbased dynamic pricing algorithms and personalized offer experiences This role will focus on designing and implementing advanced machine learning models including reinforcement learning techniques like Contextual Bandits Qlearning SARSA and more By leveraging algorithmic expertise in classical ML and statistical methods you will develop solutions that optimize pricing strategies improve customer value and drive measurable business impact
Key Responsibilities
Algorithm Development Conceptualize design and implement state-of-the-art ML models for dynamic pricing and personalized recommendations
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 optimization challenges
AI Agents for Pricing Build AIdriven pricing agents that incorporate consumer behaviour demand elasticity and competitive insights to optimize revenue and conversion
Rapid ML Prototyping Experience in quickly building testing and iterating on ML prototypes to validate ideas and refine algorithms
Feature Engineering Engineer largescale consumer behavioural feature stores to support ML models ensuring scalability and performance
CrossFunctional Collaboration Work closely with Marketing Product and Sales teams to ensure solutions align with strategic objectives and deliver measurable impact
Controlled Experiments Design analyze and troubleshoot AB and multivariate tests to validate the effectiveness of your models
Qualifications
8 years in machine learning 5 years in reinforcement learning recommendation systems pricing algorithms pattern recognition or artificial intelligence
Expertise in classical ML techniques eg Classification Clustering Regression using algorithms like XGBoost Random Forest SVM and KMeans with handson experience in RL methods such as Contextual Bandits Qlearning SARSA and Bayesian approaches for pricing optimization
Proficiency in handling tabular data including sparsity cardinality analysis standardization and encoding
Proficient in Python and SQL including Window Functions Group By Joins and Partitioning
Experience with ML frameworks and libraries such as scikitlearn TensorFlow and PyTorch
Knowledge of controlled experimentation techniques including causal AB testing and multivariate testing
Required Skills:
5+ Yrs Expereince in Pricing Reinforcement Learning
8+ Yrs Experience in Machine Learning
Expert in Python & Tabular Data
SQL
Knowledge of AB Testing