Principal Data Scientist

This is a fully remote position, open to applicants in India.

📋 Description

• Develop and oversee data infrastructure, which encompasses pipelines, warehousing, ETL/ELT processes, and data quality assurance.

• Examine product usage and user behavior to identify trends, segment users, and unveil valuable insights.

• Create and deploy systems based on LLMs as well as traditional machine-learning models, including classification, clustering, NLP, and evaluation frameworks.

• Establish and monitor product and go-to-market metrics such as activation, retention, engagement, and PQLs.

• Conduct A/B testing, causal analysis, and cohort studies to assess impact.

• Transform data into actionable product recommendations, articulating what the team should pursue and the rationale behind it.

• Assess data through actual datasets, product-decision case studies, pipeline or model architecture tasks, and feature instrumentation exercises.

⛳️ Requirements

• Over 5 years of experience in data science, data engineering, and analytics.

• Proficient in SQL and Python.

• Experience with Databricks or similar modern data platforms, such as Snowflake or BigQuery.

• Familiarity with LLMs, including fine-tuning, prompt engineering, embeddings, RAG, and evaluation techniques.

• In-depth knowledge of traditional machine learning in classification, regression, clustering, NLP, and feature engineering.

• A product-oriented mindset that links analysis to product decisions.

• Proven ability to construct reliable and scalable data pipelines.

• Capability to communicate findings effectively to non-technical audiences.

• Preferred: experience in an early-stage startup or as a founding data team member.

• Preferred: experience in developing product analytics from the ground up, covering instrumentation, event taxonomy, dashboards, and self-service reporting.

• Preferred: background in the legal or HR domains.

• Preferred: familiarity with LLM evaluation and observability, including tracing, scoring, and drift detection.

• Preferred: knowledge of dbt, Airflow/Dagster, Spark, or similar orchestration and transformation tools.

🏝️ Benefits

• Competitive salary.

• Generous paid parental leave.

• Flexible time off policy.

• Spending accounts.

• Medical insurance coverage.

• Dental insurance coverage.

• Vision insurance coverage.

• Sabbatical offered after 5 years of service.

• Annual bonus for non-sales positions, based on individual and company performance.

• Flexible work arrangements with a remote-first approach.

• Resources and flexibility to support employees.

• Commitment to equal opportunity and reasonable accommodation support.