Data Scientist

DataStaff, Inc. is seeking a Data Scientist for a long-term contract opportunity with one of our direct clients in Richmond, VA • This position is on-site Responsibilities: • Collects and analyzes statistics and information from multiple sources to spot trends and to gain maximum insight that can give the company a competitive advantage and communicates informed conclusions and recommendations across an organization's leadership structure. • Strategizes and identifies unique opportunities to locate and collect new data, explores and mines data from many angles, and determines what it means. • Communicates data findings to both business and IT leaders to influence how an organization approaches and meets business challenges of an evolving customer base and changing marketplace, using strong business acumen. • Finds and recommends new uses for existing data sources; designs, modifies, and builds new data processes; and builds large, complex data sets. • Provide expertise to agency on data-driven decision making and strategy. • Provide expertise in specific areas, such as machine learning, predictive analytics using data and systems related to public procurement. • Leading research projects, for advanced date mining, developing algorithms, or building data pipelines related to public procurement. • Experience and knowledge of procurement, preferably professional services procurement and the data related to this business need as well as procurement related reporting systems and technology. Tools and Technologies: • Programming languages: SQL, Python, PySpark, Shell Scripting, PowerShell • Data visualization: Tableau Desktop & Server, Power BI, Looker, Jupyter Notebooks • Other frameworks: git, GitHub, SSH Secure Shell, Putty, XML, JSON, SQL Workbench • Big data platforms: Apache Spark, Spark SQL, Hive, HDFS, MapReduce, Azure Data Lake • Cloud platforms: Amazon Web Services (AWS), EC2, S3, RDS, VPC, EMR, SNS, IAM, Redshift, CloudWatch, SQS, Route53, CloudFront, Athena, Kinesis, QuickSight, Lambda. • Statistical tools: Snowflake, Redshift, Oracle, MySQL, Microsoft SQL Server, PostgreSQL Required Skills: • 7 Years - Statistics and probability • 7 Years - Database management • 7 Years - Machine learning and deep learning • 7 Years - Data Visualization • 7 Years - Cloud Computing • 7 Years - Interpersonal Skills • 7 Years - Predictive Analytics • 7 Years - Data Cleansing and Transformation • 7 Years - Cross Functional Collaboration • 7 Years - Business Intelligence and Reporting • 7 Years - Statistical Modeling • 7 Years - Experience utilizing these skills in public sector procurement environment This opportunity is available on a corp to corp basis or as a W2 position with a competitive benefits package. DataStaff, Inc. offers medical, dental and vision coverage options as well as paid vacation, sick and holiday leave. As many of our opportunities are long-term, we also have a 401K program available for employees after 6 months.