Description

Basic QualificationsRequired Qualifications:
·7+ years of analytical and/or data engineering experience
·7+ years of experience developing machine learning models and performing data analysis
with Python or R
·5+ years writing production-level, scalable code (e.g. Python, Scala)
·5+ years of experience developing algorithms for deployment to production systems
·In-depth understanding of modern machine learning (e.g. deep learning methods), models,
and their mathematical underpinnings
·Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering
big-data solutions using technologies like Databricks, S3, and Spark
·Ability to gauge the complexity of machine learning problems and a willingness to execute
simple approaches for quick, effective solutions as appropriate
·Strong written and verbal communication skills
Preferred QualificationsAdditional Preferred Qualifications:
·MS or PhD in statistics, math, computer science, or related quantitative field

·Production experience with developing content recommendation algorithms at scale
·Experience building and deploying full stack ML pipelines: data extraction, data mining,
model training, feature development, testing, and deployment
·Familiar with metadata management, data lineage, and principles of data governance
·Experience loading and querying cloud-hosted databases such as Snowflake
·Building streaming data pipelines using Kafka, Spark, or Flink
Required EducationBS CS Math Stats
Preferred Education 
Additional InformationIntake w/ Manager

on site 2 days week either in San Francisco or NYC

skills-
Python SQL AWS
Nice to have Scala
Scala is used q/data pipelines and data prep pieces

Key Skills
Education

Any Graduate

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