Principal Data Scientist

🕒 August 21

🇮🇳 India – Remote

⏰ Full Time

🔴 Lead

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

G-P

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🏥 Healthcare

⚖️ Legal

Consulting • Healthcare • Legal

G-P is a leading global company specializing in Employer of Record (EOR) solutions, providing businesses with the tools to hire, onboard, and manage teams in over 180 countries quickly and compliantly. The company offers a comprehensive suite of global employment products under its G-P Meridian Suite™, including services for hiring employees and contractors, managing global payroll, time management, expenses, HR support, and employee assistance. G-P is recognized for its compliance expertise, featuring the world's first AI-based HR compliance advisor, G-P Gia™, which delivers AI-driven advice and solutions for HR compliance challenges. With a strong network of partners and industry-leading EOR SaaS solutions, G-P supports HR, legal, and financial compliance globally. Their offerings are designed to simplify the employment lifecycle and accelerate global business expansion.

📋 Description

• Build and own data infrastructure, including pipelines, warehousing, ETL/ELT, and data quality • Analyze product usage and user behavior, identify patterns, segment users, and surface meaningful insights • Build and ship LLM-based systems and traditional machine-learning models, including classification, clustering, NLP, and evaluation frameworks • Define and track product and go-to-market metrics such as activation, retention, engagement, and PQLs • Run A/B tests, causal analyses, and cohort studies to measure impact • Turn data into product recommendations and explain what the team should do and why • Evaluate data through real datasets, product-decision case studies, pipeline or model architecture exercises, and feature instrumentation exercises

🎯 Requirements

• 5+ years across data science, data engineering, and analytics • Strong SQL and Python skills • Databricks or equivalent modern data platform experience, such as Snowflake or BigQuery • LLM experience including fine-tuning, prompt engineering, embeddings, RAG, and evaluation • Traditional machine learning depth in classification, regression, clustering, NLP, and feature engineering • Product mindset connecting analysis to product decisions • Experience building reliable, scalable data pipelines • Ability to present findings clearly to non-technical stakeholders • Preferred: experience at an early-stage startup or as a founding data hire • Preferred: product analytics built from scratch, including instrumentation, event taxonomy, dashboards, and self-serve reporting • Preferred: legal or HR domain experience • Preferred: LLM evaluation and observability experience, including tracing, scoring, and drift detection • Preferred: familiarity with dbt, Airflow/Dagster, Spark, or similar orchestration and transformation tools

🏖️ Benefits

• Competitive compensation • Generous paid parental leave • Flexible time off • Spending accounts • Medical insurance • Dental insurance • Vision insurance • Sabbatical after 5 years • Annual bonus for non-sales roles, dependent on individual and company performance • Flexible work arrangements through remote-first teams • Flexibility and resources to support employees • Equal opportunity and reasonable accommodation support