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**WHO WE ARE**
Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform - powered by one of the industry's largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world.
**THE ROLE**
Do you crunch data for breakfast? Hungry for a data or ML challenge? If yes, we want to talk to you. Zeta is looking for a Data Scientist with great talent and potential to join us We are seeking an experienced, energetic, and self-starting Data Scientist to join the ZX Data Science and Analytics team.
- Data ETL: Help create ETL and modeling pipelines and workflows in Snowflake, MySQL, Python, Apache Airflow.
- ML/AI modeling, optimization and automation: Design, build, and maintain the following big-data ML/AI pipelines in a distributed environment for maximum productivity and scalability. We expect strong knowledge and experience in building automated ML processes.
- Data engineering
- ML development, evaluation and deployment/scoring
- Insight generation/recommendation engines
- Monitoring and reporting: Generate client-facing marketing campaign ROI reports with a critical focus on data integrity and consistency in reporting.
- Marketing automation: Use technologies like Python, Spark, Scala for marketing automation.
**Requirements**:
- Strong hands on programming/scripting experience in Python, Spark, R, Snowflake. PySpark knowledge is strongly preferred.
- Practical experience with ML algorithms:Supervised learning and Advanced ML techniques and statistics methods such as Random Forest, GBM, Generalized Regression, Bagging/Boosting, Neural Networks and similar algorithms.
- Expertise in AWS environment: EC2, EMR, S3
- Hands-on know-how of Unix command line operations and shell scripting
- Exceptional attention-to-detailwith the ability to meet aggressive deadlines. We move at a fast pace and generally have 3-5 projects going at any one time.
**QUALIFICATIONS**:
- MSc/MS in quantitative disciplines like Computer Science, Decision Science, Data Science, Business Analytics, Statistics (we will consider BSc with at-least 2 years of similar experience)
**PEOPLE & CULTURE AT ZETA**
Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual's sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.
**ZETA IN THE NEWS
