Data Scientist-Onsite

Job Title/Req No - VDOT Data Scientist 3 Start Date - 07/01/2025 End Date - 06/30/2026 (1+ Year Extension) Client location - 1401 E. Broad Street, Richmond, VA 23219 Interview Type - In-Person Only W2/1099 Rate - $42.00 C2C Rate - $50.00/hr. Work Arrangement - Onsite Short Description- Data Scientist (Skill level 3) for VDOT Professional Services Procurement Office; Procurement knowledge/experience strongly preferred. On-Site Work and Interview. Full Job Description - 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, 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 Skills Matrix - Skill Required / Desired Amount of Experience 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 Skills: pyspark,vpc,athena,sql workbench,spark sql,ec2,kinesis,git,machine learning,statistics,tableau desktop,jupyter notebooks,hive,looker,shell scripting,xml,json,putty,mapreduce,mysql,procurement,cloudwatch,amazon web services (aws),apache spark,postgresql,snowflake,github,data scientist,tableau,cloudfront,powershell,redshift,microsoft sql server,sql,route53,oracle,ssh secure shell,iam,sqs,power bi,lambda,vdot,hdfs,s3,tableau server,aws,quicksight,sns,rds,emr,python