Data Analyst

Job ID: VA-763985

Onsite/Local Data Analyst (12+) with ML, Data Visualization, Python, PySpark, Shell Scripting, PowerShell, Tableau, Desktop, Power BI, Looker, Jupiter, git, GitHub, SSH Secure Shell, Putty, Apache Spark, Spark SQL, Hive, HDFS, MapReduce, Azure, AWS, EC2, S3, RDS, VPC, EMR, SNS, IAM, Redshift, CloudWatch, SQS, Route53, CloudFront, Athena, Kinesis, QuickSight, Lambda, Oracle, MySQL, PostgreSQL and Snowflake experience

Location: Richmond, VA (VDOT)
Duration: 12 Months
Interview Type: In Person Only
On-Site Work and Interview.

Skills:
Statistics and probability Required 7 Years
Database management Required 7 Years
Machine learning and deep learning Required 7 Years
Data Visualization Required 7 Years
Cloud Computing Required 7 Years
Interpersonal Skills Required 7 Years
Predictive Analytics Required 7 Years
Data Cleansing and Transformation Required 7 Years
Cross Functional Collaboration Required 7 Years
Business Intelligence and Reporting Required 7 Years
Statistical Modeling Required 7 Years
Experience utilizing these skills in public sector procurement environment Required 7 Years

This Data Scientist position with the Professional Services Procurement Office will be an important member of the team. In this role, the Data Scientist 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.
In addition to standard knowledge, skills and abilities for a Data Scientist, the successful candidate for this role will have 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, Jupiter 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