Senior Data Scientist

| Boulder

DATA SCIENCE & THE TRADE DESK

At The Trade Desk, the Data Science team is responsible for transforming our hundreds of terabytes of RTB advertising auction data into actionable intelligence, leveraging advanced modelling and optimization algorithms. Our mission is to develop new and powerful means of increasing the ROI of our client’s campaigns across millions of web based publishers.

While many companies ask their Data Scientists to purely focus on R&D, we believe in innovation that adds value to our product. In this role, you will be involved in the development of new data products and the enhancement of existing ones, all while using world class machine learning. You will interact primarily with our product, trading, and data engineering teams to oversee the implementation of your data products. In other words, your ideas and research will contribute directly to our client facing product.

WHAT YOU WILL BE DOING:

• Develop end-to-end machine learning prototypes that could be scaled to run in a production environment• Maintain a focus on shipping product, balancing the tension between “getting it right” and “getting it out”
• Derive actionable insights through self-directed research from massive data sets with minimal support
• Provide input into the collection of new data sources and the refinement of existing ones to enhance analysis and model development
• Be intellectually generous, including offering guidance to team members on projects and helping them to learn new technologies
• Become an expert on TTD’s client-facing platform

WHAT YOU BRING TO THE TABLE:

NON-TECHNICAL QUALIFICATIONS

• Must be enthusiastic to learn (and teach) new technologies, machine learning techniques, and advancements in the adtech industry
• Must be comfortable working on an agile, distributed team spanning multiple time zones and continents
• Must have an abundance of intellectual curiosity
• Must be able to deliver a convincing story derived from massive data sets to both a technical and non-technical audiences
• 2+ years in an advertising or publishing related industry a plus

TECHNICAL QUALIFICIATIONS

• Advanced degree (PhD Preferred) in a quantitative field with 3+ years of professional experience in a data driven role working with massive data sets
• Must have a broad understanding of statistical machine learning and optimization techniques
• Preferred: Expert in generalized linear models, interaction-based feature selection in high dimensional spaces, and feature engineering
• 3+ years of software engineering or product development experience
• Must have expertise with the Hadoop ecosystem, including Hive, Spark, Pig, or Scala. Able to write efficient and effective SQL, R/Python

The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

 

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Technology we use

  • Engineering
    • .NETLanguages
    • C#Languages
    • JavaLanguages
    • JavascriptLanguages
    • PythonLanguages
    • ReduxLibraries
    • ASP.NETFrameworks
    • VerticaDatabases
    • SQL ServerDatabases
    • AerospikeDatabases

Location

We're proud to announce the opening of our new Denver office in the LoHi WeWork Building! Actively hiring folks in both Boulder & Denver offices!
1048 Pearl Street, Boulder, CO 80302

Insider's spotlight

What are some social events your company does?

Monthly happy hours, monthly TTD employee birthday celebrations, quarterly team building events, annual company-wide conference called Palooza in California, sponsoring & hosting meetups, BuiltIn Brews, tube to work day, potluck lunches, holiday parties for both TTD employees & TTD kids!

Perks of working here

401(K) Matching
401(K)
Beer on Tap
Casual Dress
Company Equity
Company Outings
Conferences & Training
Daily Meals Provided
Dental Benefits
Flex Work Hours
Game Room
Generous PTO
Happy Hours
Health Benefits
Generous Parental Leave
Parking
Pet-Friendly Office
Recreational Clubs
Remote Work Program
Some Meals Provided
Stocked Kitchen
Vision Benefits
Volunteering Opportunities
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