Senior Data Scientist & Engineer

Georgiospiliouras

Remote, United States
Not specified; not specified; competitive compensa...
Fully remote
5+ years across data science engineering analytics
Strong sql python complex queries scripting
Databricks snowflake bigquery modern data platforms
Georgiospiliouras is seeking a Senior Data Scientist & Engineer to join their remote team, focusing on building data infrastructure, analyzing product usage, and developing machine learning models. The ideal candidate should have extensive experience in data science, engineering, and analytics, with strong skills in SQL and Python, as well as a product-oriented mindset

Job Summary

  • The role sits at the intersection of data science, data engineering, and product analytics to build GIA, an AI agent for legal and HR teams.
  • Candidates must build robust data infrastructure including pipelines, warehousing, and ETL/ELT processes while ensuring data quality.
  • The position requires running experiments like A/B tests and measuring impact to drive product decisions rather than just creating dashboards.

Matching Summary

Match Score: 85

Georgiospiliouras is seeking a Senior Data Scientist & Engineer to join their remote team, focusing on building data infrastructure, analyzing product usage, and developing machine learning models. The ideal candidate should have extensive experience in data science, engineering, and analytics, with strong skills in SQL and Python, as well as a product-oriented mindset.

Salary

Not specified; Not specified; Competitive compensation and benefits mentioned

Skills & Requirements

Must-have

  • 5+ years across data science engineering analytics
  • Strong SQL Python complex queries scripting
  • Databricks Snowflake BigQuery modern data platforms
  • LLM experience fine-tuning prompt engineering RAG
  • Traditional ML classification regression clustering NLP
  • Pipeline engineering reliable scalable data infrastructure

Nice-to-have

  • Product mindset filtering signal from noise
  • Clear communicator presenting to non-technical stakeholders
  • Experience with A/B tests causal analysis cohort studies
  • Ability to turn data into product conviction

Key Requirements

  • 5+ years experience in data science engineering and analytics
  • Proficiency in LLM techniques including embeddings and evaluation frameworks
  • Deep knowledge of traditional machine learning algorithms and feature engineering

Work Rights

Not specified

Tailored Resume

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