Lead Data Scientist
2 months ago
This is a full time role with pnc bank. Hybrid - 2 days office 3 days remote. Candidate must be close to Pittsburgh, Cleveland, New Jersey, DC, Atlanta, Raileigh NC, Columbus Dallas.
Lead Data Scientist/ Engineer / Architect (8 + yrs)
Must have technical skills/experience (ask for alternative/tool/version):
Hadoop
Pyspark/ Python
Graph database (Neo4J)
Databricks (1 Azure, 2 AWS, 3 Google)
Flex Skills:
• 2+ years of experience with a public cloud (AWS, Microsoft Azure)
• 4+ years of experience with NoSQL implementation (Mongo, Cassandra)
• 1+ year of experience with process orchestration including AirFlow, KubeFlow
• Data lake and Delta lake experience
• Familiarity with Metadata Management, Data Quality frameworks and Data as a Service concepts a big plus
• Banking or financial services experience is a big plus
Key Experience:
• 6+ years of financial solutions architecture, software development, data engineering, data science or business intelligence engineering experience with minimum 3 Years recent hands-on experience in PySpark
• 3+ year of experience with Machine Learning code development
• Deep knowledge of Hadoop ecosystem and Big Data technologies such as Spark, Hive, Hbase, Oozie, Kafka, YARN, SLURM
• Spark query tuning and performance optimization
• Experience and good understanding of Apache Spark Data sources API
• Advanced experience in Python and common python libraries/ Scala/ Java
• Strong analytical experience with database in writing complex queries, query optimization, debugging, user-defined functions, views, indexes, etc.
• Strong working experience with source control systems such as Git, Bitbucket, and Jenkins build and continuous integration tools.
• Experience working with Microservices, Rest API and Oauth
• Experience working with one or more Agile development methods
• proven consulting and delivery leadership in data transformation, data modeling, data analytics, data visualization and/or data science
Degrees or certifications for the candidate to be successful:
• Bachelor's degree in Computer Science, Engineering, Statistics or other quantitative subject
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