Data Scientist 4

BeyondSOF; Richmond, Northern (VA, KY); Hybrid; USD 90,000 - 150,000; Full time

Job summary

BeyondSOF is seeking a Data Scientist to join the VDOT PSPO team. You will collect and analyze statistics from multiple sources, spot trends, and communicate informed conclusions to leadership to shape strategy and business decisions.

You will explore data from diverse sources, build scalable data processes and pipelines, and apply machine learning and predictive analytics to support procurement-related decisions and reporting needs across the organization.

Qualifications

• Experience in data-driven decision making and strategy for public procurement or similar domains.
• Proficiency in ML and predictive analytics using data and systems related to procurement.
• Experience leading research projects in data mining, algorithm development, or data pipelines.

Responsibilities

• Collect and analyze statistics from multiple sources to spot trends and gain insights for leadership.
• Communicate data findings to business and IT leaders to influence decisions and strategy.
• Build data pipelines and scalable data processes for large, complex datasets in procurement contexts.

Skills

Data strategy

Machine learning

Data mining

Tools

SQL

Python

PySpark

Shell scripting

PowerShell

Tableau

Power BI

Looker

Jupyter

Git

GitHub

SSH

XML

JSON

SQL Workbench

Apache Spark

Hive

HDFS

MapReduce

Azure Data Lake

AWS

Redshift

Snowflake

MySQL

MS 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