What we do:

This role sits within FP&A and operates as a bridge between Finance and technical teams. You
will assist in modernizing and automating core finance workflows, improve forecast accuracy
through statistical and machine learning approaches, and build durable tooling that increases
the speed and quality of decision-making across the organization. This is a hands-on role for
someone who is curious, pragmatic, and motivated to quickly and continuously improve
financial operations.

What you'll do:

Automate and industrialize finance workflows: convert manual Excel-based processes into reliable,
scalable automated pipelines and self-serve tools.

Forecasting & modeling: develop and operationalize statistical and machine learning models to improve
forecast precision, while balancing accuracy and explainability.
Build FP&A tooling: create internal tools that make analyses repeatable, auditable, and easy to consume
by Finance leadership and business partners.
Partner cross-functionally: work closely with Finance teams (and technical partners as needed) to identify
friction, quantify impact, and implement more efficient ways of operating.
Data pipelines & rules: design and maintain rule-based engines and data pipelines that support
forecasting, reporting, and decision workflows.
Data storytelling: translate analyses and automations into clear narratives and meaningful visuals;
communicate recommendations confidently internally.
Responsible adoption of AI tooling: use LLM-powered development workflows (e.g., Claude Code) to
accelerate delivery while maintaining quality, security, and auditability.

Who you are:

Strong SQL skills (writing, debugging, and optimizing queries against large datasets).
Advanced Excel skills and fluency in common FP&A workflows (structured modeling, reconciliation,
scenario analysis).
Working Python literacy (ability to write production-quality scripts and notebooks; comfort with
packaging, testing, and reproducibility).
Experience working in a Git-based workflow (branching, pull requests/code review, version control
hygiene).
Proven ability to take ambiguous problems and drive them to outcomes, identifying opportunities, scoping
work, executing, and iterating.
Comfort operating in a role with direct financial impact, including attention to controls, data quality, and
auditability.
Excellent communication skills (written and verbal), including the ability to tailor technical detail to the
audience.

Preferred Qualifications
1-2 years working experience as in Data Science, Analytics, Finance, or AdTech
Experience with Python data and visualization tooling such as pandas and Plotly.
Experience building lightweight applications for analysts and business users (e.g., Streamlit, Dash, or
similar).
Experience implementing agentic workflows and/or automation in a business context.
Comfort using LLM tools (e.g., Claude Code) to speed up development, analysis, documentation, and
iteration.
Exposure to programmatic advertising / AdTech concepts (forecasting, seasonality, supply dynamics,
fees/take rates, identity, etc.).

In accordance with various US state laws, the range provided is the Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as variable compensation-based incentives and commissions. Plus, expected benefits for this role include comprehensive healthcare (medical, dental, and vision) with premiums paid in full for employees and dependents, retirement benefits such as a 401k plan and company match, short and long-term disability coverage, basic life insurance, well-being benefits, reimbursement for certain tuition expenses, parental leave, sick time of 1 hour per 30 hours worked, vacation time for full-time employees up to 120 hours thru the first year and 160 hours thereafter, and around 13 paid holidays per year. Employees can also purchase The Trade Desk stock at a discount through The Trade Desk's Employee Stock Purchase Plan.

The Trade Desk also offers a competitive benefits package. Click here to learn more.

Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leave

At the Trade Desk, Base Salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is

$64,100-$117,500 USD