Senior Data Scientist

Overview

Job Description

Responsibilities

• - Develop data-driven algorithms for the Fingerprint Identification Service, applying ML techniques to 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.
• - Own data science projects end to end, from concept and experimentation through deployment into our real-time platform.
• - Design experiments and solutions for ML engineering challenges such as real-time model inference and training pipeline automation.
• - Conduct exploratory data analysis to investigate ad-hoc questions and address anomalous data.
• - Help build an engineering-focused, data-driven culture across the team by sharing tools and effective approaches to data science.
• - Participate in a shared on-call rotation.

Required Skills

• - 5+ years of experience across machine learning, data science, and backend development.
• - Advanced foundations in machine learning and statistical methodologies.
• - Strong experience with 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 real-time inference and model-to-service integration.
• - Ability to turn ML models into MVP real-time web services.
• - Excellent coding skills, including SQL and general software engineering tools (Git, CI/CD pipelines, IDEs, shell scripting).
• - Fluent English for clear communication in a global, remote team.