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Big Data Information Scientist

Location : Pittsburgh
Job Type : Direct
Hours : Full Time
Required Years of Experience : 3+
Required Education : BS
Travel : No
Relocation : No

Job Description :


The Big Data Information Scientist will lead the implementation of the advanced analytics platform and execute on the strategy to establish a Data repository. Identify opportunities to design, implement and deploy big data solutions including data streaming, ingestion, transformation, and Machine Learning processes.



  • Lead development projects and development teams utilizing agile methodology.

  • Participate in all phases of data management: data extraction, transformation, enrichment, cleansing, and reporting analytics within a Hadoop and Teradata environment.

  • Apply machine learning algorithms to develop models that predict business outcomes

  • Interact with Enterprise Architecture and technology vendors to guide solution design

  • Work with consumption layer data security and data masking/encryption.

  • Utilize rapid exploration using structured and unstructured data from real time or random sampling, establish hypothesis and visualizing in OBIEE, Tableau etc.

  • Research customers’ needs, conduct awareness and promotional sessions for customers

Required Qualifications :


  • Strong knowledge of SQL and relational database constructs and Batch/ETL

  • Experience with transactional and dimensional data modelling

  • Experience with Cloudera Big Data platform: Hadoop, HBASE, HDFS, MapReduce, Pig, Hive, Sqoop, Spark, Kafka, Flume

  • Proficiency in data analysis and developing Machine learning algorithms using Python, SAS, Java/JavaScript, R, Scala

  • Familiarity with statistical methods and data science techniques such as regression analysis, Time series, classification, decision tree algorithms, Bayesian methods, etc.

  • Excellent written and verbal communications and the ability to present complex technical information in a clear and concise manner to senior management and Business partners

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