Senior Data Scientist-MMM @ The Trade Desk | Jobright.ai
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The Trade Desk · 2 days ago

Senior Data Scientist-MMM

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Comp. & Benefits

Insider Connection @The Trade Desk

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Responsibilities

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.'

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Marketing Mixed ModelsMathematical ModelingData ProcessingStatistical AnalysisAgile MethodologiesBig Data TechnologiesSQLRPythonJavaScalaAWSSparkProblem-SolvingCuriosityCommunicationTeamwork

Required

Specific, hands-on experience in building Marketing Mixed Models and knowledge of different methodologies used throughout the industry
Understanding both conceptually and mathematically the variables and variable categories included in an MMM model and how media data can impact business KPIs
Experience in data processing and manipulation, ability to transform extremely granular raw data into model-ready format, and understanding the importance of proper data prep impacting model specification and result accuracy
Strong understanding of various statistical methods and ability to leverage statistical knowledge for innovative and creative exploratory and discovery analyses
Abundance of curiosity and eagerness to learn and teach new technologies/techniques
Comfortable working on an agile, distributed team spanning multiple time zones and continents
Effective communication across both technical and non-technical audiences
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)
Bachelor’s/Master’s level degree in a quantitative discipline
Effective use of big data technologies such as Spark and AWS, ability to write efficient SQL, and trained in one or more of the following programming languages: R, Python, Java, or Scala

Company

The Trade Desk

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The Trade Desk is an online demand-side platform that provides buying tools for digital media buyers.

H1B Sponsorship

The Trade Desk has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (31)
2022 (41)
2021 (32)
2020 (19)

Funding

Current Stage
Public Company
Total Funding
$257.5M
Key Investors
Wellington ManagementBridge BankHermes Growth Partners
2021-07-08Post Ipo Equity· Undisclosed
2016-09-21IPO· nasdaq:TTD
2016-05-09Debt Financing· $125M

Leadership Team

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Jeff Green
Founder and CEO
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Blake Grayson
Chief Financial Officer (CFO)
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Company data provided by crunchbase
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