Data Scientist

TripleLift • New York, NY

8h

About The Position

TripleLift is an advertising platform focused on elevating digital advertising through creative solutions, quality publishers, actionable data, and smart targeting. They process over 1 trillion monthly ad transactions, helping publishers and platforms monetize their businesses and enabling leading brands to find audiences across various ad formats. As part of the Vista Equity Partners portfolio, TripleLift is NMSDC certified and committed to economic inclusion. The company is a fast-growing startup tackling challenging problems in digital advertising. This Data Scientist role focuses on optimization strategies for their real-time ad marketplace. The successful candidate will contribute to experiments understanding bidding behaviors, improve traffic shaping algorithms, and optimize outcomes for Publishers, DSPs, and TripleLift. The role involves building proof-of-concept models, deploying ML models to production, creating reusable features and data structures, and collaborating with cross-functional teams to advance Data Science initiatives.

Requirements

• Bachelor’s degree or higher in a related quantitative field (E.g. Mathematics, Computer Science, Engineering)
• 2+ years of work experience in Data Science / Machine Learning
• Familiarity with monitoring and measuring statistical modeling performance via dashboards and alerts, using tools like Prometheus, Grafana, Looker, etc., to make sure models are functioning effectively
• Solid software engineering fundamentals, including version control, testing, and writing clean, maintainable, and production-ready code
• Excellent technical communication skills
• Strong analytical and problem-solving skills
• Committed to a process of continuous learning and spreading subject matter expertise

Nice To Haves

• Familiarity with tools used in our tech stack is a plus (e.g. Python, Spark, AWS, Docker, DataBricks, ONNX, MySQL, Snowflake and Airflow)
• Familiarity with ML libraries like scikit-learn to quickly analyze data and prototype models that can be used in high volume distributed systems

Responsibilities

• Conduct research and experiments to improve the performance of our traffic shaping algorithms and maximize performance for our customers
• Build new traffic shaping optimization strategies based on cutting edge research, build proof of concept ML models, and drive them to successful outcomes in full scale production
• Support analytics projects in partnership with Product, Engineering, and cross-functional teams to support and influence product strategies
• Monitor and measure statistical modeling performance, and build dashboards and alerts to ensure models are functioning effectively
• Build reusable modules and data structures, and provide guidance and feedback to team members on their work, taking into account their skills, backgrounds and working styles
• Take ownership of complex technical challenges, demonstrating initiative in navigating ambiguity and championing engineering best practices and innovation.

Benefits

• Medical, Dental & Vision Plans
• Flexible PTO
• 401k w/ employer match
• Comprehensive benefits (subject to the terms of applicable plans/policies/agreements, which will be made available to you after commencing employment)
• Salary range transparency

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees