Data Modeling and Analysis - Annapolis Junction, MD - Full Time
What you will be doing!
As a Data Scientist, Level 3, your role is pivotal. Your Python expertise and experience in automating workflows, data manipulation, and visualization using Jupyter Notebooks will be crucial in our data-driven decision-making processes. You will be instrumental in streamlining processes and creating insightful visualizations.
Key Responsibilities Your work will encompass a combination of at least two of the following domains:
Foundations: Applied mathematics, computational methods, and statistical theory
Data Processing: Data curation, descriptive analytics, visualization, workflow automation, and reproducibility
Modeling & Prediction: Statistical modeling, inference, domain-specific assessments, and evaluation of analytical results
Additional responsibilities include:
Drawing and communicating key findings using math, statistics, computer science, and domain knowledge
Applying advanced analytics and modeling techniques to large, complex datasets—often in raw or unstructured formats
Translating mission needs into technical requirements and guiding analysts in deriving appropriate conclusions
Communicating complex technical insights to diverse audiences, including non-technical decision-makers
Required Education & Experience One of the following combinations:
Master’s degree with 8+ years of relevant experience
Bachelor’s degree with 10+ years of relevant experience
Associate degree with 12+ years of relevant experience
Acceptable fields of study include:
Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
Related fields such as Computer Information Systems, Engineering, Physical Sciences (e.g., physics, chemistry, biology), or other scientific disciplines with a heavy computational focus
Degrees must include a significant number of upper-level math or computer science courses (typically 300-level or above) in areas such as linear algebra, probability, data structures, algorithms, artificial intelligence, or machine learning.
Alternatively, candidates with broader degrees may qualify if accompanied by a Certificate in Data Science from an accredited institution.
Required Technical Experience
Python programming (or other high-level language)
Machine learning algorithm design and implementation
Statistical analysis (EDA, inference, hypothesis testing, linear modeling)
Data engineering (cleaning, transformation, mining, and modeling)
Artificial intelligence and advanced analytics
Software engineering and reproducible workflow design
Clearance Required:
Must possess an active TS/SCI with Polygraph security clearance to be considered for this role.
Independent Software is an Equal Opportunity Employer EOE, M/F/D/V.