Job Description
Insight Global is seeking a Sr. Data Scientist to support one of our State Agencies. This position is local to the Richmond, VA area - will be a hybrid environment, on-site Monday through Thursday, Friday remote. This individual will spearhead the Data Science division for this client. They will be responsible for developing tools for data science staff that can enable them to derive actionable insights into business operations and performance measures from data sets. They will examine new application design and recommend corrections if needed. And ultimately serve as a "go-to" Data Scientist resource for data members
Additional 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.
* 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.
Required Skills & Experience
Must Haves:
* Bachelor's degree plus 5+ years of Data Science experience.
* Practical programming experience in Python, R, Spark, SQL, and/or other data scripting languages (3 years preferred).
* At least 3 years of experience utilizing a business intelligence visualization tool (Power BI, Tableau, etc.).
* At least 3 years of experience in querying and analyzing and working with data languages and platforms (SQL) to investigate large and diverse data sets.
* 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.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.