Data Scientist

Job Description

Datasets is a product within the Source ecosystem that turns real-time public web data into structured datasets for businesses, data teams, and AI developers. Like the other companies across Source, it runs independently while drawing on shared standards and expertise.

The team waiting for you:

Our Engineering team manages a powerful data platform that has unlocked a growing backlog of applied ML work. As a Data Scientist, you will take dedicated ownership of this backlog, driving initiatives like entity resolution, LLM-based structured extraction, and topic modeling. We are rapidly scaling our source acquisition and ingestion workflows, making this the perfect time to join and shape our capabilities. By turning unstructured data into structured, product-ready outputs, you will solve the core challenge of ensuring data accuracy and reliability at scale.

In this role, you will:

• 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.

Requirements

• 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.

Company offers

• 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.
• Bonus vacation days, paid life-moment days off, barista coffee, and all the tools you need.
• Cyber City office perks
• Hybrid work (3 office days / 2 WFH) & WFA options
• Latest tools, gadgets & tech stack
• Extra day off
• Inclusive family-related time-off policy
• Physical well-being specialists
• Psychologist/psychotherapist sessions
• Vast internal & external learning resources
• Guilds, communities & 800+ professionals by your side
• Source network & knowledge sharing
• Yearly workation
• Year-round internal & Source community events
• Team building budget