Data Scientist

We’re a team of 500+ professionals who develop cutting-edge proxy and web data scraping solutions for thousands of the world’s best known businesses, including Fortune 500 companies.

What’s in store for you:

• Develop and maintain entity resolution techniques to match and link records across sources with inconsistent identifiers.
• Prototype, build, and evaluate LLM and ML-based extraction and inference models that turn unstructured or free-text data into structured outputs.
• Automate scraping logic and source queue generation using data-driven models to streamline and scale source acquisition workflows.
• Build, iterate on, and monitor applied ML models to proactively identify data or concept drift.
• Enrich and enhance datasets with product-ready calculated fields and derived metrics.
• Assist in building automated or ad-hoc QA validation processes to validate model output accuracy, reliability, and consistency.

• 4+ years of previous experience as a Data Scientist, Data Analyst, or Data Engineer, with a strong background in data modeling, ML, and NLP.
• Excellent programming skills in Python, proficiency in SQL, and hands-on experience with Spark.
• Deep, structural thinking with the ability to communicate clearly and align with various stakeholders.
• A collaborative, self-driven mindset with a keen attention to detail and a propensity to dig into deeper layers to inspire improvements.

Nice to have

• Experience with Dagster, dbt, Superset, or Trino.
• Previous experience working closely in a team with data engineers.
• Strong business acumen and an understanding of how insights convert to value and unlock new revenue.
• Excellent written and spoken English.

• 40+ internal learning options, external conferences, mentorship, and year-round knowledge-sharing.
• Private health insurance, psychotherapy, on-site well-being consultants, 24/7 gym access, and a wellness app.
• Team events, an overseas workation, quarterly team-building budgets, and plenty of ways to mark milestones together.