Join Today: ML Scientist - TELECOMMUTE
workwarp is looking for a passionate ML Scientist - TELECOMMUTE! The role is situated in Remote, offering a fantastic work environment. This position requires a strong and diverse skillset in relevant areas to drive success. Earn a reliable and steady income of a competitive salary. Â Â job summary:
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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Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact [email protected].
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.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Apply Job! Submit Your ApplicationSeize this opportunity to make a significant impact. Apply now and take the first step towards a rewarding new role.
Apply Now
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
-----------------------------------------------------
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact [email protected].
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.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Apply Job! Submit Your ApplicationSeize this opportunity to make a significant impact. Apply now and take the first step towards a rewarding new role.
Apply Now