MDA Edge
Senior ML Scientist (Optimization & Reinforcement Learning)
MDA Edge - San Jose, California, United States, 95199
Work at MDA Edge
Overview
- View job
Overview
3 weeks ago Be among the first 25 applicants
This range is provided by MDA Edge. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$65.00/hr - $80.00/hr Job Summary:
We 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. 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. 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, 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 behavior, 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 behavioral 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.
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Other Industries IT Services and IT Consulting Referrals increase your chances of interviewing at MDA Edge by 2x Get notified about new Senior Scientist jobs in
San Jose, CA . San Mateo County, CA $50.00-$60.00 1 day ago San Mateo County, CA $50.00-$60.00 1 day ago San Mateo County, CA $50.00-$60.00 1 day ago San Jose, CA $60,000.00-$72,500.00 5 months ago Senior Research Scientist - Signal Processing - AQNav
Palo Alto, CA $150,000.00-$250,000.00 3 weeks ago Senior Data Scientist, Real World Evidence
Senior Data Scientist, Marketing Insights
Scientist II, Real World Data Science - Translational Research
Research Data Scientist (2-Year Fixed-Term), Emergency Medicine (U.S. - Flexible Work Location)
Research Data Scientist (2-Year Fixed-Term), Emergency Medicine (U.S. - Flexible Work Location)
Quantum System Design Scientist\Engineer
Santa Clara, CA $138,960.00-$231,600.00 2 months ago Quantum System Design Scientist\Engineer
Santa Clara, CA $138,960.00-$231,600.00 2 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
$65.00/hr - $80.00/hr Job Summary:
We 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. 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. 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, 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 behavior, 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 behavioral 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.
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Other Industries IT Services and IT Consulting Referrals increase your chances of interviewing at MDA Edge by 2x Get notified about new Senior Scientist jobs in
San Jose, CA . San Mateo County, CA $50.00-$60.00 1 day ago San Mateo County, CA $50.00-$60.00 1 day ago San Mateo County, CA $50.00-$60.00 1 day ago San Jose, CA $60,000.00-$72,500.00 5 months ago Senior Research Scientist - Signal Processing - AQNav
Palo Alto, CA $150,000.00-$250,000.00 3 weeks ago Senior Data Scientist, Real World Evidence
Senior Data Scientist, Marketing Insights
Scientist II, Real World Data Science - Translational Research
Research Data Scientist (2-Year Fixed-Term), Emergency Medicine (U.S. - Flexible Work Location)
Research Data Scientist (2-Year Fixed-Term), Emergency Medicine (U.S. - Flexible Work Location)
Quantum System Design Scientist\Engineer
Santa Clara, CA $138,960.00-$231,600.00 2 months ago Quantum System Design Scientist\Engineer
Santa Clara, CA $138,960.00-$231,600.00 2 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr