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Data Scientist (mid to senior level)

Role

You will provide insights to business stakeholders in Marketing, Sales, Product, and Service, enabling them to make informed decisions. You will create complex classifiers, predictive models and utilize other machine learning techniques, in collaboration with Data Engineers, Java Engineers, Business Analysts and business stakeholders to provide analysis and make recommendations. Further, you will leverage large data sets and create ETL pipelines to support our Data Warehouse/Data Lake platform.

Candidate

You should be self-motivated, work well independently, and manage all aspects of the software development lifecycle from coding to deployment. Further, you should possess solid critical thinking skills, the ability to synthesize complex problems and experienced in working with large sets of data to provide business insights.  Excellent written and speaking communication skills are required to work successfully in a collaborative cross-functional environment and interact with the full spectrum of business divisions.

Qualifications

  • 5+ years of professional experience as a Data Scientist.
  • A Bachelor of Science degree in Computer Science or another quantitative discipline.
  • Expert in machine learning techniques and classifier algorithms.
  • Experience with statistical analysis and analytic presentation tools. Experience with data management systems including both relational and NoSQL platforms.
  • Experience building and maintaining a Data Warehouse or Data Lake, including creating and maintaining an ETL pipeline.
  • Proficiency with distributed computing and Big Data technologies, including map/reduce ecosystem (Hadoop, Spark, HDFS, Hive)
  • Familiarity with capturing and processing real-time streaming data.
  • Experience with Java or Python programming language in a production environment.
  • Experience in financial services a strong plus.
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