Note: The job is a remote job and is open to candidates in USA. Rep AI is the first AI-powered Concierge for eCommerce, aiming to enhance user experiences through innovative technology. They are seeking a Data Scientist to design, develop, and deploy machine learning models that optimize their AI capabilities and improve customer engagement.
Responsibilities
- Design, develop, and test Machine Learning models using SageMaker and Python, covering the full model lifecycle from data collection, robust ETL processes, model selection, validation, and deployment
- Implement, test, and optimize Machine Learning models in our product to improve performance and customer engagement
- Develop recommendation algorithms that enhance user experiences and drive business growth
- Work with big data technologies to extract, process, and analyze large datasets efficiently
- Ensure model fairness, mitigate bias, and enhance explainability in AI decision-making
- Optimize feature selection techniques and employ advanced target encoding methods
- Utilize machine learning techniques such as decision trees (XGBoost, Random Forest), logistic regression, anomaly detection, and other methodologies to refine model accuracy
- Collaborate with engineers, product managers, and business stakeholders to align ML solutions with company goals
- Conduct rigorous A/B testing and model performance evaluations
- Continuously research and implement state-of-the-art machine learning methodologies to enhance AI-driven solutions
Skills
- At least 3 years of hands-on experience in machine learning, data science, or a related field
- Strong proficiency in Python and experience with ML frameworks like PyTorch, TensorFlow, or Scikit-learn
- Experience in deploying ML models in production environments, particularly using AWS SageMaker
- Deep understanding of machine learning methodologies, including anomaly detection, decision trees (XGBoost, Random Forest), feature selection, and bias mitigation
- Expertise in big data technologies and handling large-scale datasets efficiently
- Experience in ETL pipelines, data transformation, and engineering best practices
- Strong grasp of SQL and NoSQL databases
- Background in A/B testing and statistical analysis for model validation
- Ability to translate complex data problems into actionable business insights
- BSc/MSc/PhD in Computer Science, Engineering, Statistics, or a related field
- Strong analytical skills
- Team player
- Fluent English level
- Being referred by a current Rep team member is a plus!
Benefits
- Generous equity package
- Company offsites
- Retirement benefits
- Remote-first work
Company Overview