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Remote Ab Testing Jobs (NOW HIRING)

Booz Allen Hamilton, Inc.

AI/ML Engineer, Senior

Dayton, OH · On-site +1

$99K - $225K/yr

Conduct model optimization, tuning, versioning, and AB testing to ensure robust mission impact ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Forward Financing LLC

Senior Analyst, Portfolio Strategy

$135K - $170K/yr

... AB testing * Preferred: consumer or small business credit and pricing experience Compensation ... Forward is proud to be a remote-first company, keeping workplace flexibility a top priority for our ...

Navtech, Inc.

Infosphere MDM Senior Developer

I have an opportunity for a "Infosphere MDM" - (REMOTE) and I am looking for a candidate who can ... Queuing (MQ) Knowledge Ab Initio Metadata Portal Job Duties: Defines overall MDM solution ...

Navtech, Inc.

Infosphere MDM Senior Developer

I have an opportunity for a "Infosphere MDM" - (REMOTE) and I am looking for a candidate who can ... Queuing (MQ) Knowledge Ab Initio Metadata Portal Job Duties: Defines overall MDM solution ...

Hexagon AB

CAD Implementer (REMOTE-US)

Madison, AL · On-site +1

Lead support of customer's acceptance testing of Octave's products * Other duties as assigned #LI-SK1 #LI-Remote Education / Qualifications * A degree in the Sciences, Computer Sciences, Engineering ...

Naval Sea Systems Command

PROGRAM ANALYST

Dahlgren, VA · On-site +1

$143K - $197K/yr

You will participate in AB planning events and off-sites to develop team policies, procedures ... remote or isolated sites. You must be able to travel on military and commercial aircraft for ...

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Infographic showing various Remote Ab Testing job openings in the United States as of August 2026, with employment types broken down into 78% Full Time, 11% Temporary, and 11% Contract. Highlights an 100% Remote job distribution.

ML Scientist (Pricing Reinforcement Learning) | REMOTE |

TriOptus LLC

Bellevue, WA • On-site, Remote

Contractor

Re-posted 10 days ago

Job description

100% telecommute
Description: 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
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:
  • 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

Required Skills : Machine Learning
Basic Qualification :
Additional Skills : ML Developer
Background Check : No
Drug Screen : No

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