Data Scientist

REI Systems - Sterling, VA

Full-time - Mid Level

Hybrid - Sterling, VA

Professional, Scientific, and Technical Services

About the position

The Data Scientist position at REI Systems focuses on modernizing cloud infrastructure for the FDA, emphasizing procurement, migration, and optimization using AWS. The role involves designing and implementing integrated solutions using the Appian Technology Platform, while also developing machine learning and deep learning models to solve analytical problems. The position requires collaboration with project stakeholders, mentoring junior consultants, and operationalizing ML models in a cloud environment.

Responsibilities

• Work directly with project stakeholders throughout the entire life-cycle of projects to define, design, and implement business process based solutions.
• Design and implement solutions with Appian software and provide demonstrations to clients.
• Interface with client technical teams and business owners during the design and implementation.
• Supervise, mentor and develop junior consultants on application and implementation methodology.
• Prepare data science business cases while working with domain experts and customers.
• Support defining the AI strategy within a federal government agency.
• Develop customized algorithms to solve analytical problems with incomplete data sets.
• Build, train, validate, and test Machine Learning (ML) and Deep Learning (DL) models for various forms of data.
• Perform data mining, pattern recognition, statistical and predictive modeling.
• Design and implement solutions to automate manual processes at scale.
• Conduct design of experiments and carry out statistical analysis.
• Develop solutions for Natural Language Processing (NLP) and Computer Vision use cases.
• Operationalize ML models using CI/CD best practices in the cloud environment.
• Analyze time series data and create forecasting models.
• Document, visualize, present analytic results to decision makers.
• Provide informational briefings to explain methodologies and analytical findings to peers and customer stakeholders.
• Investigate and implement new scientific methodologies to support analytic and big data requirements.
• Find and recommend new uses for existing data sources; design, modify, and build new data processes; and build large, complex data sets.
• Provide architecture analysis and design implementation with detailed technology roadmaps and transition planning.

Requirements

• 3-5 years of experience with programming languages (such as Python, R), and statistical analysis with Python and R.
• 3-5 years of experience with machine learning and deep learning modelling (with frameworks such as TensorFlow, Keras, PyTorch, etc.).
• 3-5 years of experience with NLP and Computer Vision.
• Experience in analysis, processing, tagging, and indexing unstructured, semi-structured, and structured data sets.
• Experience with developing research designs, including formulating testable questions, identifying and defining key concepts and variables, and matching appropriate methods to problems.
• Experience with data management, including cleaning and preparing data, and creating, structuring, and maintaining data sets.
• Experience with incorporating data science capability into Stakeholder strategy.
• Good understanding of Databases, SQL, Hadoop, Hive and/or MapReduce.
• AWS or Azure experience is preferred.

Nice-to-haves

• Appian Developer certification or better required within 90 days of hire.

Benefits

• Professional development opportunities
• Flexibility to spend time with family and friends
• Meaningful projects
• Hybrid work environment (one day per week in the office)