Data Scientist

Minimum 12+ years candidate profile

Eligible Work Authorizations : H4 EAD , GC , GC EAD , USC

Prime Vendor/Tier 1 Vendor Name : Akkodis

Client Name and/or Domain : : Leidos

Location : : Hybrid - Windsor Mill MD

Mode of interview : Webcam

Note : Need only local to MD or nearby to MD

Location: Windsor Mill, MD (Hybrid – 2 day per week)

 (Federal client experience mandatory)

Key skills:  Strong knowledge of R, Python, SAS, Gen AI and Machine Learning.

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.

Required Skills

• 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

• Showcase your knowledge of modern development through the following experience or skills:
• 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 detectio