Data Scientist
Data Scientist
Posted on :
07-06-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Jobs by Experience
5years
Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
07-06-2025
Job Description
Title: Data Scientist
Duration: 12 Months
Location: Richmond VA 23219
Client: Virginia Information Technology Agency
Note: Onsite role with onsite interview only.
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 organizations 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.
MANDATORY SKILLS/EXPERIENCE
- 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.
- Statistics and probability
- Database management
- Machine learning and deep learning
- Data Visualization
- Cloud Computing
- Interpersonal Skills
- Predictive Analytics
- Data Cleansing and Transformation
- Cross Functional Collaboration
- Business Intelligence and Reporting
- Statistical Modeling
- Experience utilizing these skills in public sector procurement environment
Tools and Technologies:
- Programming languages: SQL Python Py Spark 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
If you are: bright motivated skilled a difference-maker able to get things done work with minimum direction
enthusiastic a thinker able to juggle and multi-task communicate effectively and lead then we would like to
hear from you. We need exceptionally capable people for this role for our client so get back to us and tell us why
you think you are a fit.
About Us:
Since 2000 Tri-Force Consulting Services () has been an MBE/SDB certified IT
Consulting firm in the Philadelphia region. Tri-Force specializes in IT staffing software development (web and
mobile apps) systems integration data analytics system automation cybersecurity and cloud technology
solutions for government and commercial clients. Tri-Force works with clients to overcome obstacles such as
increasing productivity increasing efficiencies through automation and lowering costs. Our clients benefit from
our three distinguishing core values: integrity diligence and technological excellence. Tri-Force is a six-time
winner among the fastest-growing companies in Philadelphia and a four-time winner on the Inc. 5000 list of the
nations fastest-growing companies.
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. Statistics and probability Database management Machine learning and deep learning Data Visualization Cloud Computing Interpersonal Skills Predictive Analytics Data Cleansing and Transformation Cross Functional Collaboration Business Intelligence and Reporting Statistical Modeling Experience utilizing these skills in public sector procurement environment Tools and Technologies: Programming languages: SQL, Python, Py Spark, 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
Education
Bachelor's degree in Computer Science, Statistics, Mathematics or related field.
Employment Type
Full Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
