Skip to Main Content

COVID-19 UPDATE: As Xandr responds to COVID-19, the health and safety of our communities--including our employees and those considering a career at Xandr--remains our top priority. If you have submitted an application, rest assured that your resume will be reviewed by our Talent Acquisition team, though it may take some time as we face this unprecedented situation. We appreciate your understanding and flexibility with any adjustments to our interviewing process. Stay safe and healthy.

Associate Data Scientist

New York, New York

Apply

The Data Science team at Xandr is responsible for driving algorithmic product innovation across the company. Our projects underlie major features for both buyers and sellers on our platform, as well as the marketplace design for our ad exchange itself. We combine elements of theory with the practical tools and techniques for exploring vast quantities of data, all with the aim of designing effective algorithms to achieve product goals. Data Science partners closely with Engineering, Product, and Data Analytics to ensure that our solutions are solving the right business problem, are scaling as needed, and are achieving the expected results for our clients.

As a team, we have diverse set of backgrounds (math, physics, engineering, operations research, statistics, econometrics, political science) and a spectrum of credentials (about half have PhDs). Our culture centers on collaborating, continuously learning and teaching, and producing effective solutions for our users, whether they rely on elegant theory or on simple heuristics and empirical evidence. We love that our contributions further Xandr’s position as a pioneer and thought leader in the AdTech industry, but we measure our efforts based on the impact and value we create for our clients and internal teammates.

The Data Scientist role is perfect for someone who is passionate about combining deep technical understanding, broad domain knowledge, and creative problem-solving skills to design products that make a measurable impact for our users.

About the job:

  • Use machine learning techniques, visualizations, statistical analysis, etc. to gain insight into various data sets – some of which are readily available, and some of which you create and curate yourself
  • Participate in the full lifecycle of algorithm-based feature development: researching and designing solutions, running tests with clients and performing deep analyses to understand results, implementing scalable solutions in production environments, and monitoring platform-wide impact
  • Collaborate with team members, both to build out specific projects and to continuously teach and learn new technology and techniques
  • Communicate findings and solutions clearly to a variety of audiences, e.g. writing clear, comprehensive specs for engineers or explaining algorithmic concepts to product managers
  • Actively seek out a broad understanding of the Xandr platform and products, and align design efforts with that context
  • Work independently with minimal supervision but high accountability

  • MA in a relevant quantitative field, or 2 years relevant applied data science work in industry experience
  • Basic programming experience – we primarily use Python and SQL, but you may have experience in R, MATLAB, or another language
  • Experience with machine learning techniques is a plus
  • Proven excellence at formulating, understanding, and solving complex, non-routine quantitative problems
  • Aptitude for learning new theory and new technology
  • Strong written and verbal communication skills
  • Hands-on attitude toward problem-solving, including a willingness to dig into terabytes of data and quickly construct tools or models
  • Ability to work in a highly interactive, collaborative, fluid environment

Job ID 2119477X-1 Date posted 04/07/2021
Career Areas

#XandrLife

#XandrLife means we’re creating an incredible experience for our people, too. Learn more about what makes our culture and career opportunities distinctive.

Life at Xandr
Back to top