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.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 small-medium-sized workplaces globally.We are looking for a Staff Data Scientist to join the markets team. In markets, we build innovative products to ensure advertisers are buying media as efficiently as possible, design algorithms to regulate ad spend while balancing pre-negotiated contracts and KPI performance, and conduct fundamental research on forecasting and planning that will shift the ad buying paradigm in TV. WHAT YOU WILL DO Our Data Scientists are end-to-end owners. You will participate actively in all aspects of designing, researching, building, delivering and monitoring data-focused products for our clients. Data Scientists contribute to more than our product – they build up our team. Through a combination of mentoring and technical leadership, they make others better and raise the bar for those around them. Depending on the team, you may either be working with advanced statistical models on complex data, cutting edge ML models or recommendation engines to optimize ad performance. In this team you will work on the development and end to end production of ETLs and data science models (statistical/ML/optimisation/recommendation) that operate on truly big data. You will also build prototypes to prove the idea and advise engineers to build up dashboards as well as reporting and measurement capabilities using Vertica as our data warehouse. WHO YOU ARE: You have a sustained track record of making significant, self-directed, and end-to-end contributions to large and impactful machine learning projects. You think beyond just the task at hand to deeply understand the 'why' behind what you are doing. You have a strong sense of data intuition. At our scale, many off-the-shelf modelling techniques (open source and enterprise) simply don't work. You are able to work from first principles and intuition to develop solutions and adapt them to a unique environment. You are a broadly skilled data scientist with experience embedding models into always-on production systems, working across a variety of technologies and data sources. You have a product-focused mindset. You have the passion and ability to contribute to the process of discovering what will delight our clients and push forward one of the world’s largest and most influential industries toward a vision of openness, transparency, and evidence-based decision-making. You work with confidence and without ego. Our data scientists have deep knowledge and exercise a high degree of leadership in their daily work. You have strongly-held, defensible ideas, and advocate for what you believe is right. You are also adept at identifying and evaluating trade-offs, willing to be proven wrong, and quick to walk through fire to support your fellow teammates. You value, seek out, and foster diversity. We are a global team from many diverse backgrounds, with different experiences and perspectives. To complement this team, you will welcome ideas that are different from your own and be skilled at finding and building from common ground. You are a creative thinker, not bound by "the way things have always been done." What you know is less important than how well you learn and innovate. We don't need data scientists who know all the answers; we need data scientists who can invent the answers no one has thought of yet, to the questions yet to be asked. WHAT YOU BRING TO THE TABLE: You have an abundance of intellectual curiosity and are enthusiastic to learn (and teach) new technologies / techniques. You are you 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 over 8 years of experience working in a data-driven role. Some of those years of experience may have been spent pursuing an advanced degree in a quantitative field, but it’s not a requirement. What and how you can contribute is what’s most important to us which is why our consideration is not limited by the level of education you have. You have experience with big data technologies such as Spark or AWS; are able to write efficient SQL; and are proficient in one or more of the following programming languages: R, Python, Java, or Scala. Variety of technical challenge is one of the best things about working at The Trade Desk as a data scientist though which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and solve complex problems using the best tools for the job. Our Compensation and Benefits (for NY, CO, CA, and WA residents only)At the Trade Desk, Base Salary is one part of our competitive total compensation and benefits package and is determined using a salary range. The base salary range for this role is $133,700 -$245,100In accordance with NY, CO, CA, and WA law, the range provided is The Trade Desk's reasonable estimate of the base compensation for this role. The actual amount may differ based on non-discriminatory factors such as experience, knowledge, skills, abilities, and location. All employees may be eligible to become The Trade Desk shareholders through eligibility for stock-based compensation grants, which are awarded to employees based on company and individual performance. The Trade Desk also offers other compensation depending on the role such as sales-based incentives and commissions. Plus, expected benefits for this role include 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, and around 13 paid holidays per year. Employees can also purchase The Trade Desk stock at a discount through The Trade Desk’s Employee Stock Purchase Plan. The Trade Desk also offers a competitive benefits package. Click here to learn more.Note: Interns are not eligible for variable incentive awards such as stock-based compensation, retirement plan, vacation, tuition reimbursement or parental leaveThe 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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