Data Scientist

What you'll work on

As an experienced Data Scientist, you will:

• Develop & deploy ML models: Design, build, and ship machine learning models into production, collaborating closely with ML Engineers to directly enhance our core marketplace (e.g., matching, ETA).
• Implement automation of internal capabilities: Implement intelligent solutions for real-time fraud detection, utilize deep learning for profile picture moderation, and leverage LLMs for text moderation and generative AI for tasks like translation.
• Build data products for business impact: Create intuitive data applications and dashboards that directly enable business teams (e.g., pricing analysts) to visualize insights, test hypotheses, and refine strategies.
• Champion generative AI innovation: Actively identify, prototype, and implement generative AI solutions to enhance employee productivity and automate key operational processes.
• Inform company strategy: Leverage your strong business acumen and data expertise to advocate for data-informed decisions, and impact the company’s strategic decisions.
• Collaborate across a 360° data team: Work within our autonomous data team, comprising ML Engineers, Data Analysts, Data Engineers, and fellow Data Scientists, managing projects end-to-end.

What we're looking for

• At least 3 years of professional experience in data or software engineering, with an experience putting Machine Learning models in production or producing data-based applications.
• Knowledge of Machine Learning theory, statistics and probabilities and/or econometrics modeling is required.
• Fluency in SQL and Python. Knowledge of main machine learning packages (scikit, XGBoost, etc) and/or MLOPs frameworks (KubeFlow, Tensor FLow, Vertex AI, etc) are a plus. An experience in developing python data visualization apps (Streamlit, Flask, Dash, etc) is also a plus.
• Excellent communication skills: You are able to explain your models clearly to both analysts and decision makers.
• Pragmatic approach to problems: You can design intermediate solutions in an agile environment, and put them in production.
• Strong business sense: You like to partner with business managers to propose new strategies and validate their hypotheses through data.
• Fluent in English