Finance Data Science & Engineering Director (Remote)

Bazeta; United States; Remote; USD 197,000 - 393,000; Full time

Benefits offered by this job

Remote-first environment

Competitive benefits

Flexible work arrangements

Medical, dental, vision insurance

401k

Job summary

Dropbox is seeking a Director of Data Science and Engineering for Finance. The role leads a small team delivering analytical infrastructure, driver models, and dashboards to enable executive decision-making. You will guide AI-powered capabilities and collaborate across Finance and business stakeholders.

The position offers a remote-first environment with flexible arrangements, and requires senior-level expertise in data science, ML, analytics leadership, and cross-functional collaboration.

Qualifications

• 6+ years in Data Science or related fields with experience across modeling techniques including causal inference, forecasting and ML.
• Experience leading development and maintenance of analytical systems with drivers and dashboards.
• At least 2 years of people management of a small team.
• Proven ability to navigate cross-functional relationships and communicate with senior leadership.
• Proficiency in SQL and Python; experience with Databricks, Snowflake and Hex.

Responsibilities

• Lead the team to partner with Finance and business stakeholders to plan and execute analyses.
• Ensure analytical foundation with rigorous experiments and driver models; maintain dashboards.
• Drive AI tool adoption and application across finance-related analytics.
• Manage and develop data scientists and data engineers on the team.
• Balance stakeholder requests with autonomous, efficient delivery.

Skills

Data Science

Machine Learning

Statistics

Causal inference

Forecasting

AI capabilities

Leadership

Communication

Cross-functional collaboration

Tools

SQL

Python

Databricks

Snowflake

Hex

Dashboarding

Job description

Dropbox is seeking a Director of Data Science and Engineering for Finance. The role leads a small team delivering analytical infrastructure, driver models, and dashboards to enable executive decision-making. You will guide AI-powered capabilities and collaborate across Finance and business stakeholders.

The position offers a remote-first environment with flexible arrangements, and requires senior-level expertise in data science, ML, analytics leadership, and cross-functional collaboration.