Senior Data Scientist

About the role

This fully remote senior data scientist position focuses on improving the accuracy and intelligence of a high‑volume, real‑time identification platform. You will work with complex, noisy and often unlabeled data to develop machine learning solutions that distinguish browsers and devices with greater precision.

Key responsibilities

• Develop data‑driven algorithms using raw, noisy and unlabeled data to enhance browser and device identification.
• Design and implement supervised, semi‑supervised and unsupervised machine learning approaches, including methods for high‑cardinality categorical data.
• Own end‑to‑end data science initiatives from problem definition through production deployment and real‑time service integration.
• Design experiments and technical solutions for real‑time inference, model‑to‑service integration and training automation.
• Conduct exploratory data analysis to investigate business and technical questions, identify anomalies and evaluate model performance.
• Collaborate with engineering teams to turn machine learning concepts into reliable production‑ready services and participate in a shared on‑call rotation.

Required profile

• 5+ years of professional experience spanning machine learning, data science and backend development.
• Advanced knowledge of machine learning fundamentals, statistical methodologies and experience with gradient boosting and high‑cardinality categorical data.
• Hands‑on experience with semi‑supervised and unsupervised learning techniques and real‑time ML services.
• Strong exploratory data analysis skills, especially with incomplete, noisy or unlabeled datasets.
• Excellent coding and software engineering abilities, including strong SQL, Git, CI/CD pipelines and shell scripting.
• Fluent English and ability to collaborate in a distributed international environment.

Required skills

• Machine learning frameworks (gradient boosting, supervised, semi‑supervised, unsupervised)
• SQL
• Git
• CI/CD pipelines
• Shell scripting
• Go (plus)
• ClickHouse, Snowflake, BigQuery
• dbt
• Superset, Tableau, Looker
• Pinecone, FAISS, Qdrant
• AWS

What we offer

• Competitive compensation ($152,000–$205,000 USD per year, location‑specific).
• Fully remote working environment.
• Opportunity to work on challenging real‑time ML problems at large scale.
• Exposure to modern ML, data engineering, backend development and cloud infrastructure technologies.
• Influence technical strategy and engineering practices.
• Collaboration with a globally distributed, inclusive team.