Zeta Global

Senior Data Scientist

Zeta Global$120K — $145K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in Data Science, particularly with machine learning models
  • Proficiency in Python and SQL, with a commitment to clean coding practices
  • Experience with developing and deploying production-grade machine learning solutions
  • Familiarity with enterprise data platforms and large-scale data processing
  • A Master’s degree or higher in a relevant field such as Computer Science or Statistics is preferred
  • Strong communication skills, both oral and written, to facilitate teamwork

Responsibilities

  • Research and develop advanced algorithms for data handling and analysis
  • Design, implement, and maintain production-level machine learning code
  • Conduct experiments on propensity modeling and develop predictive models
  • Optimize bidding strategies based on auction types and user behavior
  • Ensure the integrity and reliability of A/B testing methodologies
  • Predict customer lifecycle value (CLTV) and potential churn through effective modeling

Benefits

  • Opportunities for professional development in a leading tech environment
  • Collaboration with a diverse, highly skilled team
  • Flexible work environment with remote and asynchronous options
  • Exposure to cutting-edge AI and machine learning applications
  • Involvement in hands-on problem solving in a fast-paced setting
Full Job Description
Senior Data Scientist

What you will do:

Zeta Global's technology platform supports a real-time bidding system that handles over 100 billion events every day, a reporting system that aggregates and analyzes terabytes of data in real-time, and a learning system that applies machine learning and artificial intelligence techniques to over 40 petabytes of data. These systems all work in harmony so that Zeta Global can serve the right advertisement to the right user at the right time.

The Artificial Intelligence and Machine Learning team's work sits at the core of our technology as the key decision-making agent for our systems. We research and develop the algorithms and models that make our software intelligent, as well as design, implement, and maintain the code that powers our production systems.

Some of the problems we work on include:

  • Propensity Modelling: How do you use the rich data we have about users to make predictions? How do you handle conversion events that are extremely rare, such as purchasing a car? How do you deal with cold start problems?


  • Bidding Strategies: How do you translate a click or conversion score into a bid? What if it's a first price auction, second price auction, or auctions with dynamic floors? How do you take into account pacing for hour of day, day of week, and special holidays like Thanksgiving and Christmas?


  • A/B Testing: How do you ensure that the comparison will be fair? When is a result significant? How do you weigh across many different campaigns?


  • CLTV & Churn Prediction: How do you define target variable to represent churn event? How do you translate customer journey to useful model features?


Who you are:

  • Fluent in Python and SQL


  • Have ability to write clean, concise, modular and testable code


  • Have industry experience with developing and deploying practical machine learning models


  • Experienced with building enterprise grade machine learning and data platforms


  • Preferably Possessing a Master's degree in Science or Engineering (Computer Science, Mathematics, Physics, Statistics etc.).


  • An excellent oral and written communication in English, passionate about interacting with other engineers to help them understand and use your systems


  • Independent engineer, capable of owning projects from an idea to design and final implementation


Nice to have:

  • Experienced with build automation technologies like Gitlab CI


  • Experienced with orchestration technologies like Docker and Kubernetes


  • Experience in building HTTP and GRPC APIs


  • Experience with services like Spark, HDFS


  • Experience in an e-commerce or digital advertising technology business


  • Familiarity with agile and working in a remote & asynchronous team


We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the challenging problems. We are hiring for all levels with compensation and role depending on experience.

#LI-YW1

About Zeta Global

Zeta Global is a data-driven marketing technology company that combines the power of artificial intelligence with the scale of data, applying insights from over 2.4 billion user profiles to generate business outcomes. Zeta Global?s products and services include programmatic media buying, email marketing, CRM, data and analytics, and marketing automation. The company serves a wide range of industries, including financial services, insurance, automotive, telecommunications, retail, publishing, and travel. Zeta Global has offices in North America, Europe, and Asia-Pacific.
Learn more about Zeta Global
Size
1,300 employees
Market Cap
$1.7 billion
Industry
Founded
2007
NASDAQ

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