Description

Formed in 2011, INADEV is focused on its founding principle to build innovative customer-centric solutions incredibly fast, secure, and at scale. We deliver world-class digital experiences to some of the largest federal agencies and commercial companies. Our technical expertise and innovations are comprised of codeless automation, identity intelligence, immersive technology, artificial intelligence/machine learning (AI/ML), virtualization, and digital transformation.

We are seeking a seasoned Data Scientist with strong experience in Generative AI and Machine Learning.

CLEARANCE: Public Trust

POSITION DESCRIPTION:

• Determine the nature of analytic problems, evaluate options, and offer recommendations for resolution
• Advise on the methods and data needed and/or available to evaluate the (intelligence or data) problem
• Collaborate with data collectors and analysts to identify and close gaps on complex monitoring problems
• Provide accurate, timely, complex and sophisticated data analysis
• Determine and employ the most appropriate research design for data collection and analysis
• Analyze, evaluate, and assess quantitative data (using statistical software, computer models, geospatial models, software languages, and mathematical models) to contribute to or develop software tools, analytic models, or reports. 

Requirements

MINIMUM QUALIFICATIONS:

• Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science
• 12+ years of overall relevant experience
• 8+ years of experience as Data Scientist 

REQUIRED SKILLS/EXPERIENCE:

• Expert-level experience working with real world data sets in predictive modelling using a scripting language such as Python, SAS and R
• Knowledge of TensorFlow, PyTorch, scikit-learn, NLTK, Azure ML (optional), Amazon Web Services EC2
• Expert knowledge in conducting data analysis and applying advanced statistical concepts and machine learning methods to build, train, test, and evaluate a variety of supervised and unsupervised analytic models
• Ability to clean and process large amounts of real-world data
• Experience retrieving and manipulating data from a variety of data sources included Db2, Oracle, SQL Server, Hadoop and flat files
• Experience with database management systems, e.g., MySQL, SQLite, SQL, etc.
• Either experience with, or the ability and willingness to learn distributed processing via the Hadoop ecosystem, i.e., Spark, Impala and Hive
• Excellent analytical skills to identify potential risks and propose effective solutions
• Clear communication skills to convey complex technical concepts to various partners
• Ability to collaborate with cross-functional teams
• Providing problem solving skills, proven communication in written and verbal formats to various audiences to include executive leadership

DESIRED SKILLS/EXPERIENCE:

• Prior experience with federal or state governments IT projects
• Prior experience working on applications that help identify fraudulent activities (Anti-Fraud) in government or larger private organizations
• Experience working in an analytical research environment
• Experience with statistical and machine learning software such as pandas and scikit-learn
• Experience in parallel processing such as GPU programming with CUDA
• Mathematica
• Experience using markup languages such as LaTeX, HTML, etc.
• Natural Language Processing for anomaly detection