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Data Scientist



Data Science
New York, NY, USA
Posted on Thursday, July 11, 2024

About TripleLift

We're TripleLift, an advertising platform on a mission to elevate digital advertising through beautiful creative, quality publishers, actionable data and smart targeting. Through over 1 trillion monthly ad transactions, we help publishers and platforms monetize their businesses. Our technology is where the world's leading brands find audiences across online video, connected television, display and native ads. Brand and enterprise customers choose us because of our innovative solutions, premium formats, and supportive experts dedicated to maximizing their performance.

As part of the Vista Equity Partners portfolio, we are NMSDC certified, qualify for diverse spending goals and are committed to economic inclusion. Find out how TripleLift raises up the programmatic ecosystem at triplelift.com.

Core Technologies

The Data Science team employs a wide variety of technologies to accomplish our goals. From our early days, we’ve always believed in using the right tools for the right job and continue to explore new technology options as we grow. The Data Science team uses the following technologies at TripleLift:

  • Languages: Python
  • Frameworks: Spark, Airflow, DataBricks, ONNX, Docker
  • Databases: MySQL, Snowflake, S3/Parquet
  • Amazon Web Services to keep everything running


  • Run experiments to improve the performance of our bidding algorithm and maximize performance for our customers;
  • Apply analytics techniques to understand market dynamics and provide insights and recommendations;
  • Implement scalable and production-ready machine learning pipelines and systems, leveraging best practices in ML engineering;
  • Collaborate with cross-functional teams including engineering, product management, and business stakeholders to identify opportunities and address challenges.

Desired Skills and Attributes

  • Strong background in statistical analysis, machine learning, and data visualization techniques;
  • Hands on experience using TensorFlow, PyTorch, Scikit-learn, or Spark to quickly analyze data and prototype models that can be used in high volume distributed systems;
  • History of monitoring and measuring statistical modeling performance using monitoring tools like Prometheus and Grafana and ability to quickly build dashboards and alerts to make sure models are functioning effectively;
  • Excellent organizational and communication skills and attention to detail;
  • Ability to work quickly and independently with minimal oversight;
  • Desire to accept feedback and constructive criticism;
  • Strives for continued learning opportunities to build upon craft;
  • Extremely strong and demonstrable work ethic.

Education Requirement

A degree in a technical or quantitative field is preferred, although candidates with relevant experience who hold other degrees will be considered.

Experience Requirement

At least two years of Data Science/Machine Learning experience in a professional, collaborative environment.


US Jobs: The base salary range represents the low and high end of the TripleLift US salary range for this position. Actual salaries will vary depending on factors including but not limited to experience and performance. The range listed is just one component of TripleLift’s total compensation package for employees. Other rewards may include bonuses, an open Paid Time Off policy, and many region-specific benefits.

Pay is based on various non-discriminatory factors including but not limited to experience, education, and skills.

Benefits Available to Eligible Employees Include the following*:
  • Medical, Dental & Vision Plans
  • Unlimited PTO
  • 401k w/ employer match

*Full-time employees are eligible for comprehensive benefits (subject to the terms of applicable plans/policies/agreements, which will be made available to you after commencing employment).

Salary range transparency
$115,000$150,000 USD

Life at TripleLift

At TripleLift, we’re a team of great people who like who they work with and want to make everyone around them better. This means being positive, collaborative, and compassionate. We hustle harder than the competition and are continuously innovating.

Learn more about TripleLift and our culture by visiting our LinkedIn Life page.

Diversity, Equity, Inclusion and Accessibility at TripleLift

At TripleLift, we believe in the power of diversity, equity, inclusion and accessibility. Our culture enables individuals to share their uniqueness and contribute as part of a team. With our DE&I initiatives, TripleLift is a place that works for you, and where you can feel a sense of belonging and support. At TripleLift, we will consider and champion all qualified applicants for employment without regard to race, creed, color, religion, national origin, sex, age, disability, sexual orientation, gender identity, gender expression, genetic predisposition, veteran, marital, or any other status protected by law. TripleLift is proud to be an equal opportunity employer.

Learn more about our DEI efforts at https://triplelift.com/diversity-equity-and-inclusion/

Privacy Policy

Please see our Privacy Policies on our TripleLift and 1plusX websites.

TripleLift does not accept unsolicited resumes from any type of recruitment search firm. Any resume submitted in the absence of a signed agreement will become the property of TripleLift and no fee shall be due.