Data Scientist – Build Scalable Data Pipelines

About the role

We are looking for a Data Scientist to design and improve data pipelines, ensure data quality, and develop internal data products that support product teams and business decision‑making across the company.

Key responsibilities

• Design, build, and maintain scalable data pipelines and data systems.
• Validate data, define metrics, and collaborate with software engineers to improve reporting and analytics robustness.
• Create internal data tools such as reporting engines and forecasting solutions for cross‑functional teams.
• Provide analytical and modeling support for business planning, performance tracking, and platform‑wide decisions.
• Leverage AI tools to accelerate insight generation, explore market trends, and uncover new opportunities.

Required profile

• Strong reasoning ability and capacity to solve complex problems from first principles.
• High drive, ambition, and personal responsibility for delivering results.
• Team‑oriented mindset, willing to support the best ideas and help teammates.
• Proficiency in written and spoken English.

Required skills

• Experience with data pipeline design and data system architecture.
• Ability to work closely with software engineers on data validation and metric definition.
• Familiarity with building reporting, forecasting, or similar analytical tools.
• Comfort using AI‑assisted tools for data analysis and insight generation.

What we offer

• Small, talent‑dense autonomous teams that operate with startup speed and scale.
• Opportunities to learn, make a high impact, and accelerate career growth.
• Collaboration with some of the brightest professionals in the field.