SR. DATA Scientist​/It SME Specialist Security Clearance

Position: SR. DATA SCIENTIST / IT SME SPECIALIST with Security Clearance
*** Position is 100% on-site**
* *** Secret Clearance Is Required
*** VSolvitis looking for a broadly talented Data Scientist with quantitative research skills to take an active role on our data analytics team. You will work on vast amounts of DEA data to discover hidden information by applying modern statistical and ML/AI techniques. The main scripting languages used on this program are Python and some 'R'. The databases are MS SQL Server and Elastic Search and are used against the enterprise data warehouses with Kibana, Tableau or other BI and Visualization tools.

This is a mature team that is high profile and charged with delivering solutions in Data Sciences enabling maximum leverage of DEA master data. At a higher Level, this position is part of a team of developers and IT SME’s who support the DEA data warehouse project and the ability to recognize opportunities for the correlation of data is vital for this position.

The need for strategic thinking, with the ability to easily spot gaps, ensure accuracy, and find differences in what should be the same values in data, and lags in data that will ultimately affect velocity and overall quality of the products, is highly desired. Your primary focus will be applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with DEA programs and DEA data (e.g. structured, unstructured, and mixed datasets).

You will also design and develop automatic scoring using machine learning techniques, build recommendation systems, design, and develop classifiers for feature extraction. This program is one in which pushing boundaries and innovation within the scope of the program is valued. There is a fully supported effort to develop and further Power BI/ML/AI in the quest for 'making the data dance'.

The Data Sciences group provides innovative algorithm development using various techniques to achieve desired insight or open eyes to new revealing results and possibilities. In addition to technical knowledge the team values the ability to collaborate and communicate with one another to ensure a highly productive, respectful, and harmonious work setting, be it virtual or mixed of onsite and remote.

As with any position, additional expectations exist. Some of these include, but are not limited to, adhering to normal working hours, meeting deadlines, following company policies as outlined by the Employee Handbook, communicating regularly with assigned supervisor(s), staying focused on the assigned tasks, and completing other tasks as assigned. Responsibilities
* Work with large DEA data using descriptive statistics and data visualization tools

* Create insights from existing DEA data, and drive the collection of new data and ways to address new data

* Collaborate with clients and team members to understand and communicate results, and to put insights into operation

* Enhancing data collection procedures to include information that is relevant for building analytical systems

* Doing ad-hoc analysis and presenting results in a clear manner

* Work with other team members such as those focused on Data warehousing, Tools development, software development, Dev Ops, systems analysts etc.

* Design accurate and scalable prediction algorithms

* Collaborate with engineering team to bring analytical prototypes to production

* Generate actionable insights for business improvements
Basic Qualifications
* U.S. Citizenship Required

* Secret Clearance Required

* Must be able to pass a DEA Security Approval

* Team experience (i.e., managing tasks with other Data Scientists; communicator to client and other DEA Team Leads; good communication skills orally and in writing)

* At least 2 years of data science and custom Machine Learning and AI model training experience solved ‘real world’ problem (to include supervised and unsupervised) and Natural Language Processing (NLP) expertise focusing on unstructured data with Anaconda, VScode with Git Version control

* Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

* 5+ years’ of professional experience in data science and analysis

* 5+ years’ Python, “R” or other…