Data Scientist 4

Beyond SOF; Richmond (VA); On-site; USD 90,000 - 140,000; Full time

Job summary

Beyond SOF is seeking a Data Scientist for the VDOT PSPO team in Richmond, VA. The role focuses on collecting and analyzing statistics from diverse sources to identify trends and provide insights that guide leadership decisions.

You’ll design data processes, mine data from multiple angles, and build large data sets to support procurement analytics. The ideal candidate has expertise in machine learning, predictive analytics, and experience with public procurement data and reporting systems.

Qualifications

• Experience with procurement data and reporting systems.
• Strong data analytics and visualization skills.
• Experience leading data science projects in public procurement or related domains.

Responsibilities

• Collect and analyze statistics from multiple sources to spot trends and gain insights.
• Communicate informed conclusions to leadership to influence business decisions.
• Identify opportunities to collect new data and design data processes.
• Build and maintain large, complex data sets and data pipelines for procurement analytics.

Skills

Data-driven strategy

Machine learning

Data mining

Tools

SQL

Python

PySpark

Shell scripting

PowerShell

Tableau

Power BI

Looker

Jupyter

Git

GitHub

SSH

XML

JSON

SQL Workbench

Spark

Hive

HDFS

MapReduce

Azure Data Lake

AWS

Redshift

Oracle

MySQL

SQL Server

PostgreSQL

Job description

This Data Scientist position with the Professional Services Procurement Office will be an important member of the VDOT PSPO 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.

Skills Specific to this Position:

• 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.

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