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.
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!
You will get
Supportive team environment, flexible schedule. Add to that a competitive salary, best-in-class benefits package, which includes medical, life, dental & vision, 401(k) with company match, paid time off, and career growth opportunities
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Shoppers deserve a better experience—so let's give it to them. Conversational Shopping is the future of commerce. Join us.
