Senior Data Scientist

• Google Cloud Platform
• Data Storage: GS, PostgreSQL (CloudSQL), BQ, ClickHouse
• Language: Python
• Tools: Airflow, k8s, Docker, FastAPI, gRPC, celery, NumPy, Pandas, SciPy
• LLM APIs: OpenAI, Google, Anthropic, Perplexity

Examples of our projects

• Keyword search volumes: A metric showing how many times people search for a specific keyword in search engines.
• Personal keyword difficulty: A personalized evaluation of how difficult it is to promote a specific domain for a particular keyword.
• Keyword search intent: The goals users pursue when making a request in a search engine.
• Brand performance: An evaluation of how often LLMs mention a brand in their responses.
• Authority score: An indicator of both the quantity and quality of a backlink profile.

• 3+ years of experience as a DS or MLE
• Knowledge of Natural Language Processing (NLP) techniques (TF-IDF, BERT, FastText)
• Strong understanding of machine learning algorithms, probability theory, statistics, and linear algebra
• High proficiency in Python and the ML stack
• Hands-on experience with LLMs
• Knowledge of SQL

Not required, but a plus

• Practical knowledge of RAG and building AI agents
• Experience deploying and maintaining LLM-based solutions in production
• Experience with GCP and Vertex AI
• Experience developing ETL processes with Airflow
• You share our common values: Trust, because we prefer to speak up and be our true selves; Sense of Ownership, because it's not worth wasting time on something you don't believe in; and enthusiasm for Constant Changes, because we are always looking to make things better