Nyla Technology Solutions is seeking a Data Scientist to devise strategies for extracting meaning and value from large datasets, make and communicate principled conclusions from data, and develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets.
Requirements
- Foundations (Mathematical, Computational, Statistical)
- Data Processing (Data management and curation, data description and visualization, workflow and reproducibility)
- Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations)
- Programming skill in at least one high-level language (e.g., Python)
- Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models)
- Data management (e.g., data cleaning and transformation)
- Experience in designing/implementing machine learning, data science, advanced analytical algorithms
Responsibilities
- Devising strategies for extracting meaning and value from large datasets
- Making and communicating principled conclusions from data using elements of mathematics, statistics, computer science, and application-specific knowledge
- Developing and implementing qualitative and quantitative methods for characterizing, exploring, and assessing large datasets
- Translating practical mission needs and analytic questions related to large datasets into technical requirements
- Assisting others with drawing appropriate conclusions from the analysis of such data
- Effectively communicating complex technical information to non-technical audiences
- Making informed recommendations regarding competing technical solutions
Other
- ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED
- A Bachelor's degree and 3 years of relevant experience
- Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
- Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms
- Travel requirements not specified
