Hi BusinessPartners,
Hope you are doing great!
Please find below mentioned job description and revert back with the updated resume to lucky@itstrategiesinc.com
Job Title: Data Scientist with Big Data
Location: Philadelphia, PA
Duration: 12+ Months (1/2/2018-12/31/2018)
• Responsible for gathering and assessing business information needs and preparing system requirements
• Performs analyses, development and evaluation of data mining in a data warehouse environment which includes data design, database architecture, Meta data and repository creation.
• Uses data mining and data analysis tools. Reviews and validates data loaded into the data warehouse for accuracy
• Interacts with user community to produce reporting requirements
• Provides technical consulting to users of the various data warehouses and advises users on conflicts and inappropriate data usage
• Responsible for prototyping solutions, preparing test scripts, and conducting tests and for data replication, extraction, loading, cleansing, and data modeling for data warehouses
• Maintains knowledge of software tools, languages, scripts, and shells that effectively support the data warehouse environment in different operating system environments
• Makes recommendations towards the development of new code or reuse of existing code.
• Responsibilities may also include participation in component and data architecture design, performance monitoring, product evaluation and buy versus build recommendations
Skills:
• Bachelor's Degree in Computer Science, Information Systems, or other related field. Or equivalent work experience
• Typically has 5 - 8 years of IT work experience in business intelligence tools and systems
• Possesses working knowledge of Relational Database Management Systems (RDBMS) and data warehouse front-end tools
• Must have an extensive knowledge of data warehouse and data mart concepts
• Experience in systems analysis, design and a solid understanding of development, quality assurance and integration methodologies
• Typically has 7+ years of programming/systems analysis experience
Additional Comments:
-Strong foundation in product analytics, statistics and machine learning
-Keen eye for detail and thoughtful investigation of data before relying upon it
-Ability to think and execute at multiple altitudes: from strategy and vision to execution
-MS in quantitative field preferred (CS, Physics, Data Science, or similar)
-Strong Experience in data science in writing code in SQL & Python (Scala, Unix)
-Strong Experience operating in Big Data Pipelines (Spark, Hive, Presto, SQL engines) batch and streaming
-Strong Experience in data story telling with visualizations
-Strong Experience in developing and deploying Machine Learning models (Scikit-learn, MXNet, TensorFlow, H20, MLib or similar)
-Self Starter/Driven personality
-Enjoys fast paces culture
Additional Skills:
-Python
-SQL
-Machine Learning
-Spark
-Hadoop
-Linux/Unix
-Shell Scripts
-AWS Big Data Stack (S3, Spark, Lambda, Presto, Athena, Kinesis, Redshift)
-Data Visualization
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