Senior ML Scientist - 2025PX02003 - MCA-03-MCAF-46465

Company: Mindverseconsulting
Location: San Jose
Posted on: February 15, 2025

Job Description:

Mindverse Consulting Services - ContractSenior ML Scientist - 2025PX02003 - MCA-03-MCAF-46465San Jose, United States - Posted on 11/02/2025About UsWe are SME IT Consulting Company focusing on Cloud Computing & Data Science Consulting space across Europe and INDIA.We also support our customers by providing technical consultant on contract as per their project requirements.We call such services as SKILL-PARTNERSHIP and we are now operational in 40+ countries globally.Job DescriptionJob SummaryWe seek a Senior ML Scientist to drive innovation in AI ML-based 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, Q-learning, 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.Job 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, Q-learning, SARSA, and concepts like Thompson Sampling and Bayesian Optimization, to solve pricing and optimization challenges.
• AI Agents for Pricing: Build AI-driven 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 large-scale consumer behavioural feature stores to support ML models, ensuring scalability and performance.
• Cross-Functional 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 A/B and multivariate tests to validate the effectiveness of your models.Minimum 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 (e.g., Classification, Clustering, Regression) using algorithms like XGBoost, Random Forest, SVM, and KMeans, with hands-on experience in RL methods such as Contextual Bandits, Q-learning, 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 scikit-learn, TensorFlow, and PyTorch.
• Knowledge of controlled experimentation techniques, including causal A/B testing and multivariate testing.Nice to HavesBackground Check requiredNo criminal recordOthersWork Timing: Regular Hours - Monday to Friday, 9am to 5pm
  #J-18808-Ljbffr

Keywords: Mindverseconsulting, San Jose , Senior ML Scientist - 2025PX02003 - MCA-03-MCAF-46465, Other , San Jose, California