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G-P

Principal Data Scientist

G-P · India (Remote-First)

Posted 26 days ago

or apply directly on G-P's site. We never take the application ourselves.

Is this posting real?

This role has been open
26 days
G-P's roles stay open a median of 27 days
Reposted
No
Salary listed
No
24% of G-P's roles list one
Ghost-job risk at G-P
high
15 stale, 0 reposted of 38 open
Hiring momentum
59 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from G-P's own greenhouse board since 2026-08-03. Full hiring picture for G-P.

About this role

As a Principal Data Scientist at G-P, you will be responsible for building and owning data infrastructure, analyzing product usage, and developing models that drive product decisions. Your role will involve running experiments, measuring impact, and effectively communicating insights to non-technical stakeholders to influence product direction. This position requires a blend of data science, engineering, and product analytics expertise.

Our read on this posting3.6out of 5
benefits
4/5
freshness
4/5
career value
5/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of G-P as an employer.

What you need

  • 5+ years of experience in data science, data engineering, and analytics
  • Strong SQL and Python skills
  • Experience with modern data platforms like Databricks, Snowflake, or BigQuery
  • Experience with LLMs including fine-tuning and prompt engineering
  • Depth in traditional ML techniques such as classification, regression, clustering, and NLP
  • Product mindset with the ability to connect analysis to product decisions

Nice to have

  • Experience at an early-stage startup or as a founding data hire
  • Experience building product analytics from scratch
  • Legal or HR domain experience
  • Experience with LLM evaluation and observability tools
  • Familiarity with dbt, Airflow/Dagster, Spark, or similar tools

What you get

  • Generous paid parental leave
  • Flexible time off
  • Spending accounts
  • Medical insurance
  • Dental insurance
  • Vision insurance

Worth weighing

  • No specific salary range provided, compensation varies based on multiple factors
  • Role demands extreme ownership and fast-paced execution
  • Focus on product impact rather than just technical tasks

Summarised from G-P's posting. Read the full original.

Listed by G-P on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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