Data Scientist

We are looking for a Data Scientist who will have the primary focus of Data Sharing and Data Governance. The agency manages the Commonwealth Data Trust to facilitate data sharing across the Commonwealth and its partners; and provides administrative support to the Commonwealth Data Commission, Executive Data Board, Data Governance Council, and Data Stewards Group. In addition, will provide guidance, support, oversight, and technical assistance to data trust member agencies and Commonwealth organizations in the implementation of data governance, sharing, security, and analytics projects.

Responsibilities:

• Understand and translate business needs into data models supporting long-term ODGA solutions.
• Develop and maintain conceptual, logical and physical data models along with corresponding metadata.
• Develop best practices for data standards and coding practices to ensure consistency in data models.
• Perform reverse engineering of physical data models from databases and SQL scripts.
• Examine new application design and recommend corrections if required.
• Develop tools for data science staff that enable them to derive actionable insights into business operations and performance measures from data sets.
• Develop successful prototypes and proofs of concept to improve system components and tools and to demonstrate new functions.
• Advise technical staff on data flow, processing issues, and other topics pertinent to the generation of data that meets business requirements.
• Collaborate effectively with partner agencies and business stakeholders in order to address data-related technical issues, clarify business requirements, and resolve conflicts and ambiguities.
• Serve as a data scientist resource to data trust member agencies and Commonwealth organizations regarding machine learning issues.
• Support data quality, integrity, security services in partner agencies as a core value.

Competencies Required:

• Considerable experience using statistical computer languages (R, Python, etc.)
• Considerable experience working with and creating data architectures.
• Considerable knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Considerable knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.

Qualifications:

• Bachelor’s degree with of Data Science experience.
• Practical programming experience in Python, R, Spark, SQL, and/or other data scripting languages
• Experience in Python, R, and/or other data scripting languages.
• Experience utilizing a business intelligence visualization tool (Power BI, Tableau, etc.).
• Experience in querying and analyzing and working with data languages and platforms (SQL) to investigate large and diverse data sets.

VA2787

Job Types: Full-time, Contract

Pay: $56.00 - $59.00 per hour

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance

Schedule:

• 8 hour shift
• Monday to Friday

Ability to commute/relocate:

• Richmond, VA 23219: Reliably commute or planning to relocate before starting work (Required)

Experience:

• R and Python: 5 years (Preferred)
• creating data architectures: 5 years (Preferred)
• machine learning techniques: 5 years (Preferred)
• SQL Server: 5 years (Preferred)

Work Location: One location