Lead Data Scientist

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Requirements:

• 7+ years in Machine Learning, Data Science, and backend development.
• Advanced foundations in ML and statistical methodologies.
• Strong experience in supervised learning, including gradient boosting and handling high-cardinality categorical data.
• Practical experience with semi-supervised and unsupervised learning techniques.
• Proficiency in exploratory data analysis and creative problem-solving for dataset collection and performance estimation in the absence of labeled data.
• Strong expertise in real-time ML service development, including challenges like real-time inference and model-to-service integration.
• Excellent coding skills with expertise in SQL and general software engineering tools (Git, CI/CD pipelines, IDEs, shell scripting).
• Ability to create MVP real-time web services from ML models.

Responsibilities:

• Develop data-driven algorithms for Fingerprint Pro Identification Service, applying ML techniques to process raw, noisy, and unlabeled data to extract insights about browsers and devices.
• Lead the design and implementation of supervised, semi-supervised, and unsupervised learning approaches to improve our identification capabilities.
• Mentor team members in machine learning, data science, and analytics, enhancing the team's technical expertise.
• Conduct exploratory data analysis to investigate ad-hoc questions and address anomalous data.
• Design experiments and solutions for ML-related engineering challenges like real-time model inference and training pipeline automation.
• Help build an engineering-focused, data-driven culture across the team by sharing tools and effective approaches to data science.