Senior Data Scientist

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. To learn more, go to www.zetaglobal.com.

ROLE SUMMARY:

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 Senior Data Scientist with great talent and potential to join us! We are seeking an experienced, energetic, and self-starting Data Scientist to join the Global Data Science and Analytics team. 

RESPONSIBILITIES:

• Data ETL: Be a leader in creating ETL pipelines in Snowflake, Hive, Athena, MySQL 

• ML modeling, optimization and automation: Design, build, and maintain ML/AI pipelines in a distributed environment for maximum productivity and scalability. Key areas of focus: 

• Data engineering 

• ML/AI model 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, Snowflake, Apache Superset for marketing automation. 

REQUIREMENTS:

• Strong hands-on programming/scripting experience in Python, Spark, Snowflake. Strong preference for working knowledge of Python ML/AI packages. 

• Very strong knowledge of 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, RDS, S3, Redshift, Athena 

• Hands-on know-how of Unix command line operations and shell scripting 

• Exceptional attention-to-detail with the ability to meet aggressive deadlines. We move at a fast pace and generally have 3-5 projects going at any one time. 

• Team player with great communication skills and willing to help the other team members 

QUALIFICATIONS:

• MSc/MS in quantitative disciplines like Computer Science, Decision Science, Data Science, Business Analytics, Statistics, with at-least 3 years of experience (we will consider BSc with at-least 5 years of similar experience) 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases