SR. DATA SCIENTIST / IT SME SPECIALIST

VSolvit•Fairfax, VA

1d•Onsite

About The Position

VSolvit is 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.

Requirements

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 scripting languages
2+ years’ database experience
ML practice – using scikit learn, tensorflow, or pytorch and perform DEA (Data exploration Analysis), clean data, model selection, feature selection/tuning, and deployment
2+ years’ experience with data visualization tools
Utilize a strong understanding of Machine Learning basics to design and implement effective models for [specific industry/sector] applications.
Professional experience in implementing and deploying Deep Learning models to solve complex problems
Collaborate with cross-functional teams as a team player to integrate data science solutions into our products and services.
Demonstrate excellent communication skills to convey complex technical concepts to non-technical stakeholders and team members.
Utilize Git for version control, ensuring effective collaboration and code management within the team.
Embrace Agile methodologies to adapt to fast-paced development cycles and deliver high-quality results.
Solid understanding of statistical analysis and data visualization techniques.
Ability to work independently and collaboratively in a team-oriented environment.
Dedication to continued learning, be team-oriented, self-driven, quality minded, and customer-friendly
If applicable: If you are or have been recently employed by the U.S. government, a post-employment ethics letter will be required if employment with VSolvit is offered

Nice To Haves

Graduate degree in a quantitative social science or a STEM field highly desired
10+ years’ of professional experience in data science and analysis
10+ years’ Python, “R” or other scripting languages
5+ years’ of relational database experience
5+ years of non-relational/big data experience
Experience or knowledge of ELK may be helpful
Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc.
Proficiency in using data query languages such as SQL, Hive, Pig, Pandas, MongoDB
Proficiency in big data modeling work: Hadoop, Pig, Scala, Spark
Good, applied statistics skills, such as distributions, statistical testing, regression, etc.
Substantial experience with statistics and the scientific method, and the ability to perform self-directed hypothesis-driven research

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, DevOps, 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