... 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 ...
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 ...
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
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 ...
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 ...
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 ...
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 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
... 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 ...
Senior Machine Learning Engineer
Austin, TX · On-site
$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
Austin, TX · On-site
$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 ...
... 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 ...
AI Machine Learning Engineer
Houston, TX · On-site
Experience performing basic hyper parameter optimization * Ability to follow model training ... Experience with Bayesian statistical modeling, including Bayesian inference, Markov chain Monte ...
AI Machine Learning Engineer
Houston, TX · On-site
Experience performing basic hyper parameter optimization * Ability to follow model training ... Experience with Bayesian statistical modeling, including Bayesian inference, Markov chain Monte ...
Data Scientist - Demand Forecasting
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 - Demand Forecasting
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 ...
AI Machine Learning Engineer
Houston, TX · On-site
Experience performing basic hyper parameter optimization * Ability to follow model training ... Experience with Bayesian statistical modeling, including Bayesian inference, Markov chain Monte ...
AI Machine Learning Engineer
Houston, TX · On-site
Experience performing basic hyper parameter optimization * Ability to follow model training ... Experience with Bayesian statistical modeling, including Bayesian inference, Markov chain Monte ...
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 ...
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:
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 10 days ago
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