Growth & Strategy Data Scientist (Senior)

Fora (Interview Calendar); New York (NY); On-site; USD 130,000 - 185,000; Full time

Benefits offered by this job

Unlimited vacation

Health Insurance

Dental & Vision Insurance

Wellhub Memberships

401k plan with company match

Commuter Benefits

Supplemental Life Insurance

Stock Options

Job summary

Fora, a modern travel platform in New York City, seeks a Senior Data Scientist to own the growth operating model, forecast the business, and guide strategic decisions for founders and executives.

You will partner with Strategy & Operations, Finance, and leadership to shape targets and investments, mentor the data team, and drive cross-functional impact with a focus on real world business outcomes.

Qualifications

• 5+ years in business data science, analytics, or strategy & analytics, preferably in consumer/ marketplace models.
• Experience building financial/operating models with forecasting, regression, cohort analysis.
• Advanced SQL is essential; Python or similar scripting language preferred.
• Hands-on with a modern cloud data stack and data modeling best practices.
• Experience using LLM tools to accelerate analysis and prototyping.

Responsibilities

• Own the growth operating model to forecast the business and run scenarios.
• Collaborate with Strategy & Operations and Finance on forecasting cycles.
• Analyze data to diagnose trends and explain trajectories.
• Model impact of pricing changes and new initiatives for investments.
• Partner with leadership to shape strategic decisions and investments.
• Mentor the data team and establish best practices and standards.

Skills

Advanced SQL

Python

Forecasting

Cohort analysis

Regression analysis

Data storytelling

LLM tools

Tools

Airbyte

BigQuery

dbt

Hex

Omni

Job description

Fora, a modern travel platform in New York City, seeks a Senior Data Scientist to own the growth operating model, forecast the business, and guide strategic decisions for founders and executives.

You will partner with Strategy & Operations, Finance, and leadership to shape targets and investments, mentor the data team, and drive cross-functional impact with a focus on real world business outcomes.