New

Sr Staff Data Scientist

The Trade Desk
$166,200-$304,700 USD
life insurance, parental leave, paid holidays, sick time, tuition reimbursement, 401(k), retirement plan
United States, New York, New York
Jul 15, 2025
Data scientists at TTD work closely with engineering throughout the lifecycle of the product, from ideation to productionization and monitoring. Our data scientists are end-to-end owners and deeply embedded into the engineering org. You will participate actively in all aspects of designing, researching, building, and delivering data-focused products for our clients and traders. We are looking for a highly experienced and strategic Senior Staff Data Scientist to join the DS team in Buying org. In this role, you will lead advanced data science modeling initiatives that drive business impact. You will play a critical role in shaping our data science strategy, mentoring junior team members, and partnering with cross-functional leaders to embed data-driven decision-making into the core of our operations. WHAT YOU'LL DO: Strategic leadership Identify high-impact opportunities where data science can drive significant business value or advance technology development in the company Define and drive the data science long term research roadmap in alignment with company goals Model development & innovation Design, develop, and deploy advanced statistical/ML models with problem driven mindset and proactive risk management. Stay abreast of emerging AI/ML techniques and assess their potential business applications. Collaboration & Influence: Partner with stakeholders across product, engineering, business, and executive teams to define data needs and translate business problems into data science solutions. Effectively communicate insights and technical concepts to both technical and non-technical audiences. Mentorship & Guidance: Mentor and guide junior data scientists. Establish best practices in data science methodologies, tools, and workflows. Data & Infrastructure: Collaborate with engineering teams to ensure data quality, availability, and reliability, design model rolling out plan, and monitoring dashboard. Recommend and help implement scalable data and ML infrastructure. WHO WE ARE LOOKING FOR You have a strong passion for building intelligent, data-driven systems that optimize performance at scale. You understand the complexities of ad auctions, bidding strategies, attribution, user behavior modeling, and real-time data processing and model deployment. You've worked with massive datasets and know how to turn noisy signals into actionable insights that drive revenue and efficiency. You're a hands-on practitioner who can develop state-of-the-art models, but you also think strategically-identifying high-impact opportunities and aligning data science efforts with business goals. You know how to influence product and engineering teams, navigate fast-changing priorities, and mentor others to elevate the team's capabilities. You stay current with the latest in ML and AI, and you're always thinking about how to apply emerging techniques to deliver measurable results in a complex, fast-moving ecosystem. WHAT YOU BRING TO THE TABLE We do not expect you to know every technology we use when you start at TTD. What we care most about is that you can learn quickly and solve complex problems using the best tools for the job. However, we find that the most successful candidates typically come in with something like the following experience: PhD or Master's degree in computer science, statistics, mathematics or a related field. 10+ years of experience in data science (preferred in ad tech), with a strong portfolio of projects that have driven business outcomes. Experience as a tech lead is a plus. Proven ability to design, develop, and deliver end-to-end data science solutions-from problem scoping and data exploration to modeling, validation, deployment, and post-deployment monitoring. Proven experience translating business needs into scalable, data-driven solutions that are successfully implemented in production environments. Demonstrated experience collaborating cross-functionally with product, engineering, and business stakeholders to ensure alignment and impact at every stage of the solution lifecycle Experience running heavy workloads on a distributed computing cluster (especially EMR or Databricks), leveraging technologies like Spark to work with large datasets. Experience with modern machine learning frameworks (e.g., TensorFlow, PyTorch, XGBoost). Experience in LLM tools is a plus. CO, CA, IL, NY, WA, and Washington DC residents only: In accordance with CO, CA, IL, NY, WA, and Washington DC law, 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, abilities, 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 sales-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 $166,200 — $304,700 USD As an Equal Opportunity Employer, The Trade Desk is committed to making our job application process accessible to everyone and toproviding reasonable accommodations for applicants with disabilities. If you have a disability or medical condition and requirean accommodation for any part of the application or hiring process,please contact us ataccommodations@thetradedesk.com You can also contact us using the same email address if you have a disability and need assistance to access our Company website. When contacting us, please provide your contact information and specify the nature of your accessibility issue.