About the position
The Trade Desk is a global technology company with a mission to create a better, more open internet for everyone through principled, intelligent advertising. Handling over 1 trillion queries per day, our platform operates at an unprecedented scale. We have also built something even stronger and more valuable: an award-winning culture based on trust, ownership, empathy, and collaboration. We value the unique experiences and perspectives that each person brings to The Trade Desk, and we are committed to fostering inclusive spaces where everyone can bring their authentic selves to work every day. The Trade Desk helps marketers unlock the potential of the open internet, on every channel and device, across the entire customer journey. Our Identity products power intelligent ad buying on TTD. Our Data Scientists in the Identity team are end-to-end owners of TTD's identity products. This end-to-end ownership gives the opportunity to participate in designing, researching, building, and delivering data-focused and high-impact products for our stakeholders. These products are based on large-scale data that are in the order of millions of queries per second. Working with such large-scale data requires our data scientists to be at the cutting edge of both the data processing frameworks as well as scalable algorithms. Our data scientists also serve as an ambassador to our business partners to champion and evolve our identity products as the identity landscape of the open internet changes. They understand the business requirements and current design choices; they communicate effectively with business partners on opportunities and challenges; and they are strategic partners in creating the next generation of identity products. Data Scientists contribute to more than our product - they build up our team. We are a team built on a foundation of generosity and openness, and we expect our Data Scientists to help make others better and raise the bar for those around them.
Responsibilities
- Make significant, self-directed contributions to components of large and impactful data-focused projects.
- Utilize strong sense of data intuition to develop solutions and adapt them to a unique environment.
- Leverage familiarity with basic concepts in probability and statistics, along with exposure to computer science, graph mining, and machine learning.
- Contribute to the process of discovering what will delight stakeholders and drive forward the industry.
- Work with confidence and without ego, advocating for ideas and evaluating trade-offs.
- Think creatively and challenge traditional methods.
- Train and mentor team members, advocating for quality within the team.
- Work on problems related to graph mining, algorithmic optimization, and information theoretical approaches.
Requirements
- Abundance of curiosity and eagerness to learn new technologies/techniques.
- Comfortable working on an agile, distributed team across multiple time zones.
- Effective communication skills across technical and non-technical audiences.
- Practical experience with big data technologies such as Spark, AWS, Databricks.
- Ability to use a querying language such as SQL.
- Practical experience in one or more programming languages: Scala, Python, Java, or R.
- Practical experience in large-scale graph mining.
- 7+ years of experience as a professional data scientist/analyst or in a research role.
- Bachelor's/Master's level degree in a quantitative discipline.
Nice-to-haves
- Experience with agile methodologies.
- Familiarity with machine learning frameworks.
- Experience in a fast-paced, high-growth environment.
Benefits
- 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.
- Around 13 paid holidays per year.
- Employee Stock Purchase Plan.
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