Data Scientist

Full-Time & Remote
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.

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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.

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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!

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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!

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Strong analytical skills
Team player
Fluent English level
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