Data Scientist 2
Annapolis Junction MDTSSCI
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What Impact Youll Have
We are actively searching for Data Scientists located in Maryland to support our team. We have varying levels of Data Scientist roles depending on years of experience and education.
The ideal candidate should possess expertise in AIML proficiency in Python and hands-on experience with deep learning frameworks such as PyTorch and TensorFlow with an added advantage if they have cyber knowledge. This role combines artificial intelligence and machine learning skills with a strong foundation in programming and cybersecurity.
What Youll be Owning
Foundations Mathematical Computational Statistical
Modeling Inference and Prediction Data modeling and assessment domain-specific considerations
Devise strategies for extracting meaning and value from large datasets.
Make and communicate principled conclusions from data using elements of mathematics statistics computer science and application specific knowledge.
Through analytic modeling statistical analysis programming and/or another appropriate scientific method develop and implement qualitative and quantitative methods for characterizing exploring and assessing large datasets in various states of organization cleanliness and structure that account for the unique features and limitations inherent in NSACSS data holdings.
Translate practical mission needs and analytic questions related to large datasets into technical requirements and conversely assist others with drawing appropriate conclusions from the analysis of such data.
Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting NSACSS collection processing storage and analytic capabilities and limitations.
What You Must Have
Bachelors Degree with 3 years of relevant experience or an Associates degree with 5 years of relevant experience
Bachelors Degree must be in Mathematics Applied Mathematics Statistics Applied Statistics Machine learning Data Science Operations Research or Computer Science or a degree in a related field Computer Information Systems Engineering a degree in the physicalhard sciences e.g. physics chemistry biology astronomy or other science disciplines with a substantial computational component i.e. behavioral social or life may be considered if it included a concentration of coursework 5 or more courses in advanced Mathematics typically 300 level or higher such as linear algebra probability and statistics machine learning and/or computer science e.g. algorithms programming data structures data mining artificial intelligence.
College-level requirements or upper-level math courses designated as elementary or basic do not count. Note A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
Relevant experience must be in designing/implementing machine learning data science advanced analytical algorithms 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 data mining data modeling and assessment artificial intelligence and/or software engineering. Experience in more than one area is strongly preferred.
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