Data Scientist – MMM Specialist

Who we are

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 strong 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.

 

Do you have a passion for solving hard problems at scale? Are you eager to join a dynamic, globally connected team where your contributions will make a meaningful difference in building a better media ecosystem? Come and see why Fortune magazine consistently ranks The Trade Desk among the best-sized workplaces globally.   

What we do

Our data scientists are end-to-end owners and as such, you will actively participate in all aspects of designing, researching, building, and delivering data-focused products for our stakeholders. As a Senior Data Scientist, you will contribute meaningfully through leading others.   

Our data science team is embedded into nearly a dozen mission-focused engineering teams working across a wide spectrum of technological and scientific challenges.  You will have the opportunity, based on your interests and background, to work on problems related to natural language processing and machine learning over hundreds of millions of web pages; graph mining and algorithmic optimization on petabytes of data; and causal inference with missing data - to name a few.  

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. 

What you’ll do:

Some of the work that you will be doing to help us deliver on our mission is:

• Query through large and intricate database to pull and deliver data at the right dimension and granularity for users of various media performance measurement needs
• Data cleaning, processing and manipulation based on client needs and requirements in Python or R with the potential to scale
• Be able to speak to and make recommendation on the right data dimension for the right measurements and be able to explain why
• Run ad hoc analysis based on results shared from external partners, comfortable with problem solving with limited data and info
• Perform original research that not only builds media performance and KPI benchmark, but also set industry standard

 

• Work with cross-functional teams (Trading, Insights, Partnerships, Product) to help drive techniques and learnings forward to drive impact with clients.
• Partner with business teams and clients to uncover what might be driving positive and negative MMM reads for TTD buys and find ways to advise clients on measurement and activation approaches to solve
• Participate and/or drive end-to-end contributions to complex, multi-layered, impactful data-focused projects. You think beyond just the task at hand to deeply understand the 'why' behind what you are doing and anticipate problems that may be several degrees removed from obvious requirements.
• Work with confidence and without ego. Our data scientists have deep knowledge and exercise a high level of leadership in their daily work. You’ll have strongly-held, defensible ideas, and advocate for what you believe is right. You’ll be practiced at identifying and evaluating trade-offs, willing to be proven wrong, and committed to support your fellow teammates.
• Think creatively, not bound by "the way things have always been done."

We are a global team with different backgrounds, experiences, and perspectives. To complement this team, you will welcome ideas that are different from your own and be well-versed in building from common ground to value, seek out, and foster invisible and visible dimensions of diversity.

Who you are:

• You have specific, hands-on experience in building Marketing Mixed Models and have knowledge of different methodologies used throughout the industry
• You understand both conceptually and mathematically the variables and variable categories included in an MMM model and how media data can impact business KPIs
• You understand the necessary media data transformation required for modeling
• You are experienced in data processing and manipulation, can transform extremely granular raw data into model ready format, and understand the importance of proper data prep can impact model specification and model result accuracy
• You have a strong understanding of various statistical methods and can leverage your statistical knowledge for innovative and creative exploratory and discovery analyses
• 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.
• You have 5+ 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).
• You have a Bachelor’s/Master’s level degree in a quantitative discipline. Not everyone has the same level of access to opportunities. What is most important to us is what and how you can contribute, which is why our consideration is not limited by the level of education you have.
• You make effective use of big data technologies such as Spark and AWS, are able to write efficient SQL, and are trained in one or more of the following programming languages: R, Python, Java, or Scala.

 

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