Data Scientist

Remote - United States

Applications have closed

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 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: Help create ETL pipelines in Snowflake, MySQL, Python
  • ML modeling, optimization and automation: Design, build, and maintain the following big-data pipelines in a distributed environment for maximum productivity and scalability:
    • 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.
  • Good 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, 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 3 years of similar experience)

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: AWS Business Analytics Computer Science Data pipelines EC2 Engineering ETL Machine Learning MySQL Pipelines PySpark Python R Scala Shell scripting Snowflake Spark Statistics

Regions: Remote/Anywhere North America
Country: United States
Job stats:  60  14  1
Category: Data Science Jobs

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