Sr. ML Scientist (Pricing & Reinforcement Learning)

Futran Tech Solutions Pvt. Ltd.; Wylie (TX); Remote; USD 120,000 - 160,000; Full time

Job summary

A leading technology consulting firm seeks a Senior ML Scientist to innovate in AI-driven dynamic pricing algorithms. Ideal candidates will have extensive experience in machine learning and reinforcement learning, focusing on optimizing pricing strategies and enhancing customer experiences. This remote role involves collaboration with cross-functional teams to drive measurable business impact through advanced ML models.

Qualifications

• 8 years in machine learning, 5 years in reinforcement learning.
• Expertise in classical ML techniques and RL methods.
• Proficient in handling tabular data.

Responsibilities

• Develop and implement ML models for dynamic pricing.
• Build AI-driven pricing agents incorporating consumer behavior.
• Design and analyze AB tests to validate model effectiveness.

Skills

Machine Learning

Reinforcement Learning

Python

SQL

AB Testing

Tools

scikit-learn

TensorFlow

PyTorch

Job description

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 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 :

8+ Yrs Experience in Machine Learning

Expert in Python & Tabular Data

Knowledge of AB Testing

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