DATA SCIENTIST

***Note: This is a Hybrid remote position (minimum 3 days in-office). Must reside in VA. Secret Clearance required.***

Role:

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 is 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 the 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 in 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, and 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, 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

Basic Qualifications and Requirements:

• 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

Preferred Qualifications:

• 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

Additional Duties:

Corporate Responsibilities include the following:

• Contribute to growth of DEA Contract via creating new opportunities based upon customer Pain Points (assist DEA PM with potentially bringing in additional FTEs)

• Create a stronger relationship with the DEA customer via providing high quality service and solving customer needs

• Assist VSolvit BD Department by reviewing/writing future Bids based upon your experience and expertise at least quarterly and/or when necessary

Other Requirements:

U.S. Citizenship

Secret Clearance REQUIRED

Must be able to pass a DEA Security Approval

Company Summary

Join the VSolvit Team! Founded in 2006, VSolvit (pronounced 'We Solve It') is a technology services provider that specializes in cybersecurity, cloud computing, geographic information systems (GIS), business intelligence (BI) systems, data warehousing, engineering services, and custom database and application development. VSolvit is an award winning WOSB, CA CDB, MBE, WBE, and CMMI Level 3 certified company. We offer a customizable health benefits program that best meets the needs of its employees. Offering may include: medical, dental, and vision insurance, life insurance, long and short-term disability and other insurance products, Health Savings Account, Flexible Spending Account, 401K Retirement Plan options, Tuition Reimbursement, and assorted voluntary benefits. Our goal is to grow together and enjoy the work that we do as a team.

VSolvit LLC is an Equal Opportunity/Affirmative Action employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, national origin, protected veteran status, or disability status.