Data Scientist

Remote · Boston, Massachusetts, United States


A Data Scientist is responsible for identifying the insight opportunities present in the customer’s data and helping shape the data pipeline that deliver the insights by applying advanced analytics (e.g., machine learning) in collaboration with the customer. The Data Scientist is a technical, customer facing role, who along with the Analytics Product Team is accountable for the end-to-end data pipeline envisioning and development that starts with addressing issues of data acquisition and data sampling, data exploration and data quality assessment, data wrangling to massage the data so it is better suited to applying advanced analytics, and visualizing or reporting on such data to make the insights available to the customer’s business. The ideal candidate has experience in customer facing roles and has a cross-disciplinary background consisting of statistics and software development. A technical BS degree in Computer Science or Math background is highly desirable. Three or more years of customer facing experience desired.

Technical Skills

Non-Technical Skills


Azure, Azure Cognitive Services, Azure Data Catalog, Azure Data Factory, Azure Data Lake, Azure Cosmos DB, Azure HDInsight, Azure Import/Export, Azure Machine Learning, Azure Search, Azure SQL Data Warehouse, Azure SQL Database, Azure Storage, Cassandra, IBM Cognos, Microsoft R, MongoDB, MySQL, NoSQL, PostgreSQL, Power BI, Scala, Apache Spark, SQL Server, SQL Server IaaS, SSAS, SSIS, SSRS, Sybase, Tableau,

Programming/Scripting Languages: R, Scala, Python, DMX, DAX, MDX, SQL, T-SQL, Java


MCSA in Machine Learning, other certifications include: Master or PhD in Data Science, Statistics or Probability from accredited universities, Certified Analytics Professional (CAP), Certification of Professional Achievement in Data Sciences, Cloudera Certified Professional: Data Scientist (CCP:DS), edX Verified Certificate in Data Science Curriculum, EMC Data Science Associate, edX Verified Certificate in Data Science Curriculum, EMC Data Science Associate, MCSE Business Intelligence, MCSE Data Management and Analytics, Revolution R Enterprise Professional, SAS Certified Data Scientist.

Project Experience Types/Qualities

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