← Back Full-Time & Remote Data Scientist Rep is the first AI-powered Concierge (sales chatbot) for eCommerce. It proactively approaches disengaged site visitors and offers shopping assistance for everyone. As a result, Rep sells more products and handles up to 90% of all support requests. We’re looking for a Data Scientist to design, develop, and deploy cutting-edge machine learning models that drive our AI-powered solutions. This role requires a blend of deep technical expertise, business acumen, and problem-solving skills to optimize our AI capabilities and enhance user experiences. Strong analytical skills Team player Fluent English level
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 &
Qualifications
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.
Being referred by a current Rep team member is a plus! If you’re excited about pushing the boundaries of AI-driven eCommerce and want to be part of an innovative team, we’d love to hear from you!
why join us
Benefits
Generous equity package Have skin in the game and share in Rep AI’s future success. Company offsites Connect with the global team, collaborate in person, and build relationships beyond the screen. Retirement
benefits
Plan ahead with
benefits
designed to support your future. Remote-first work Join a global team and do meaningful work from wherever you do your best work. Interested in joining the Rep team? Share with your peers First name Last name Email* Phone number* LinkedIn URL* Upload CV (PDF Only Please)*Only PDF files will be reviewed. Do not upload .docx - Thanks! job_posting