ML Scientist - TELECOMMUTE
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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
- 5+ Yrs Expereince in Pricing Reinforcement Learning
- 8+ Yrs Experience in Machine Learning
- Expert in Python & Tabular Data
- SQL
- Knowledge of AB Testing
location: Bellevue, Washington
job type: Contract
salary: $50.00 - 55.75 per hour
work hours: 8am to 4pm
education: Bachelors
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 large-scale 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:
- Experience level: Experienced
- Minimum 8 years of experience
- Education: Bachelors
skills:
- Machine Learning
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Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).
This posting is open for thirty (30) days.
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