Senior Data Scientist

Job Description:

• Develop data-driven algorithms for the Fingerprint Identification Service using ML techniques on raw, noisy, and unlabeled browser and device data
• Lead supervised, semi-supervised, and unsupervised learning approaches to improve identification capabilities
• Own data science projects end to end, from concept and experimentation through deployment into the real-time platform
• Design experiments and solutions for real-time model inference and training pipeline automation
• Conduct exploratory data analysis to investigate ad-hoc questions and anomalous data
• Share tools and effective approaches to build an engineering-focused, data-driven culture
• Participate in a shared on-call rotation

Requirements:

• 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 dataset collection and performance estimation without 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, Git, CI/CD pipelines, IDEs, and shell scripting
• Fluent English for clear communication in a global, remote team
• Must be authorized to work from their home location
• Nice to have: academic background and research mindset
• Nice to have: backend development experience with Go
• Nice to have: experience with ClickHouse, Snowflake, BigQuery, dbt, Apache Superset, Tableau, Looker, Pinecone, FAISS, Qdrant, and embedding-based search systems

Benefits:

• 100% remote work
• Shared on-call schedule communicated in advance with equitable coverage and minimized off-hours disruption
• Inclusive work environment
• Visa sponsorship is not provided