Senior Data Scientist

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. You'll work closely with cross-functional teams to design, develop, and evaluate predictive models, identify opportunities for growth, and translate prototypes into new products and features.

About the Role:
As a Senior Data Scientist, you'll play a critical role in developing and implementing data solutions that drive business value as part of the. You'll work closely with cross-functional teams to design, develop, and evaluate predictive models, identify opportunities for growth, and translate prototypes into new products and features. Your expertise in statistics, machine learning, programming, and data modeling will enable you to recognize patterns, identify opportunities, and make valuable discoveries.

• Hybrid Role (2 days on-site) 
• W2 contract role only (no corp to corp)
• Locations PA, AL, AZ, OH, TX 

What We're Looking For:

• 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 databases 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

Must have technical skills/experience:

• Hadoop
• Pyspark/ Python
• Graph database (Neo4J)
• Databricks (1 Azure, 2 AWS, 3 Google)

Preferred Technical Skills and Experience:

• 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 concept

Attributes for a candidate's success in this role:

• leadership abilities with track record of driving results through cross-functional organization
• Ability to manage multiple projects with tight timelines
• Highly motivated, self-directed

#INDGEN