Senior Applied Economist, Causal Inference & Forecasting

Navan

Quick summary

Work type
On-site
Location
Redwood City, CA
Salary
$121,500–$270,000 / yr
Posted
56 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $161k
This role $196k
$93k most similar roles pay here $289k

This role pays more than 76% of similar roles. Most pay $126,800–$195,200 — the shaded band above. At the midpoint, this role pays about $196k versus about $161k for comparable roles.

Based on 240 similar postings.

Employer

About Navan

Navan (formerly TripActions) is a travel and expense management platform that provides corporate travel booking, expense management, and card solutions to simplify business travel for enterprises. Industry: Travel Management & Financial Technology

Navan currently has 20 open roles on FindRole.

Listed pay typically runs $113,400–$252,000 across 7 roles with salary data.

Most-posted roles

View all roles at Navan

At a glance

TL;DR · Senior Applied Economist, Causal Inference & Forecasting

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Navan is hiring a Senior Applied Economist to join its Data Science & Machine Learning team, focusing on developing sophisticated economic models that enhance financial forecasting and strategic decision-making. This role involves integrating econometric rigor into existing forecasting pipelines using Python and tools like Prophet, while also designing frameworks for causal inference to inform pricing strategies and customer retention initiatives. The ideal candidate will have a PhD or Master’s in Economics or Statistics with extensive experience in applied research or data science within high-growth tech environments. Proficiency in Python, SQL, and working with Snowflake is essential, along with the ability to apply advanced econometric methods to real-world datasets and communicate complex findings effectively across various business units.

Skills

Python pandas statsmodels scikit-learn SQL Snowflake AWS CI/CD Prometheus Grafana Kubernetes Terraform Docker

What you'll do

  • Design and execute advanced forecasting models to provide probabilistic outcomes for risk management.
  • Develop causal inference frameworks to identify key business drivers and inform strategic decisions.
  • Create data-driven pricing and customer retention strategies in partnership with Sales teams.
  • Write production-quality Python code to deploy economic models into AWS and Snowflake ecosystems.
  • Serve as the subject matter expert on economic literature, translating technical insights into strategic recommendations for leadership.

What we're looking for

  • Advanced degree (PhD preferred) in Economics, Statistics, or related quantitative field.
  • 4+ years experience in applied research, finance, or data science roles.
  • Deep expertise in Python and its data science ecosystem tools.
  • Proficient in SQL with experience querying large-scale data warehouses like Snowflake.
  • Proven ability to apply advanced econometric methods to real-world datasets.
  • Self-starter mentality with the capability to set roadmap in undefined spaces.
  • Strong communication skills to explain complex models to various stakeholders.

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