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About the role
Advanced degree in Statistics, Computer science, Behavioural Science or Mathematics preferred
3+ years of experience analyzing product’s data, building AI/ML algorithms or making product focused impact with Data Science.
Demonstrated experience in leveraging data for actionable insights using different techniques including AI, GenAI and ML.
Demonstrated experience working with both structured and unstructured data and a deep understanding of ML algorithms and statistical modeling.
Have software engineering skills (scripting is important for quick prototyping, but knowledge in OOP is crucial for the long run), fluency in Python and SQL.
Experience with cloud platforms (e.g., GCP, BigQuery) and version control tools.
Experience working in social networks, recommender systems and/or NLP applications
Have deployed models to production with an engineering team.
Excellent communication – written, conversational, presentation, and data-visualization.
Experience with both software engineering (ideally in an agile environment and with programming best practices) and empirical science.
Experience in an HR space (e.g. People Analytics) or knowledge of Organizational Psychology is highly desirable.
Bonus:
PhD in Machine Learning, Mathematics, Statistics, Computer Science or in another highly quantitative field
Expertise in machine learning methods including Time series analysis, Hierarchical Bayes; and Learning techniques such as Decision Trees, Boosting, Random Forests, Deep Learning, Neural Networks
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