Senior Data Scientist & Engineer

Cpakingdom

Remote
Remote
5+ years across data science engineering analytics
Strong sql python complex queries scripting
Databricks snowflake bigquery modern data platforms
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

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

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.

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 pipelines

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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