The Trade Desk is looking for Data Scientists to help build and deliver data-focused, high-impact products for their stakeholders, specifically in the area of identity products. These products are based on large-scale data and require cutting-edge data processing frameworks and scalable algorithms. The role also involves acting as an ambassador to business partners to evolve identity products as the landscape changes.
Requirements
- Practical experience with big data technologies such as Spark, AWS, Databricks,
- Able to use a querying language such as SQL,
- Practical experience in one or more of the following programming languages: Scala, Python, Java, or R.
- Practical experience in large-scale graph mining.
- 7+ years of experience working as a professional data scientist/analyst or in a research role (includes PhD or post-doc experience in a quantitative discipline).
- Ability to learn quickly and find solutions to complex problems using the optimum tools for the job.
- Ability to invent answers no one has thought of yet and find answers to the questions yet to be asked.
Responsibilities
- Make significant, self-directed contributions to components of large and impactful data-focused projects.
- Utilize your strong sense of data intuition to develop solutions and adapt them to a unique environment.
- Leverage your broad familiarity with basic concepts in probability and statistics, along with exposure to basic foundations of computer science, graph mining, and machine learning.
- Unlock your product-focused mindset to contribute to the process of discovering what will delight our stakeholders and drive forward one of the world’s largest and most influential industries toward a vision of openness, transparency, and evidence-based decision-making.
- Work with confidence and without ego, having strongly-held, defensible ideas, and advocating for what you believe is right.
- Think creatively, not bound by "the way things have always been done."
- Make your team better through training and mentoring those around you.
Other
- Make your team better through training and mentoring those around you.
- You are a guardian of and advocate for quality within your team.
- You have an abundance of curiosity and are eager to learn (and teach) new technologies / techniques.
- You are comfortable working on an agile, distributed team spanning multiple time zones and continents.
- You are able to communicate effectively across both technical and non-technical audiences.
