Data Scientist
Rep AI
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!
What’s a Rich Text element?
The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content
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Static and dynamic content editing
A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!
How to customize formatting for each rich text
Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.