Location
Fairfax, VA | United States
Job description
Job Summary:
DT Professional Services is looking for a broadly-talented Data Scientist with quantitative research skills to take an active role on our data analytics team in Fairfax, VA (hybrid)! You will work on vast amounts of DEA data to discover hidden information by applying modern statistical and AI/ML techniques. The main scripting languages used on this program are Python and 'R'. The databases are MS SQL Server and Elastic Search is used again the 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.
Your primary focus will be in applying data mining techniques, performing 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/AI/ML 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. Must be able to pass a DEA “Suitability” review. This role is hybrid and will require some on-site work in Fairfax, VA.
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
- Perform ad-hoc analysis and present 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:
- Active DoD issued Secret Clearance
- Team experience (i.e. managing tasks with other Data Scientists; communicator to client and other DEA Team Leads)
- 2+ years of data science and custom ML and AI model training experience solved ‘real world’ problems (to include supervised & unsupervised) and Natural Language Processing (NLP) expertise focusing on unstructured data with Anaconda, and VS code 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 ML basics to design and implement effective models for specific industry/sector applications
- Professional experience 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 dedicated, 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 database experience
- Experience or knowledge of ELK
- 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 such as 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
The compensation range for this position: $160k - $185k annually.
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