Today
Top Secret
Unspecified
Polygraph
IT - Data Science
Herndon, VA (On-Site/Office)
Data Scientist IV:
Position Responsibilities:
Apply technical methods to data science problems supporting business and mission users. Understands Machine Learning and is able to apply machine learning, multivariable calculus, and linear algebra techniques and approaches, including but not limited to, k-nearest neighbors, random forests, and ensemble methods. Understands Data Visualization and is able to employ visualization and data to enable data driven decisions. Possesses an expert ability to describe findings and techniques tailored to the intended audience, including technical and nontechnical decision makers. Demonstrated experience with Python or R. Possesses knowledge and experience of advanced analytics, cloud architecture, and data storage.
Required Qualifications:
Desired Qualifications:
Position Responsibilities:
Apply technical methods to data science problems supporting business and mission users. Understands Machine Learning and is able to apply machine learning, multivariable calculus, and linear algebra techniques and approaches, including but not limited to, k-nearest neighbors, random forests, and ensemble methods. Understands Data Visualization and is able to employ visualization and data to enable data driven decisions. Possesses an expert ability to describe findings and techniques tailored to the intended audience, including technical and nontechnical decision makers. Demonstrated experience with Python or R. Possesses knowledge and experience of advanced analytics, cloud architecture, and data storage.
Required Qualifications:
- Demonstrated experience with Python or R.
- Possesses knowledge and experience of advanced analytics and data storage.Demonstrated oral and written communication skills.
- Knowledge of various data science applications and architectures.
- DoD Approved Clearance and Poly
Desired Qualifications:
- Polished oral and written communication skills sufficient to compose, tailor, and deliver original presentations and papers on abstract concepts.
- Develops and employs strategies to analyze key issues, draw conclusions from data, and recommend viable solutions to address customer mission needs..
- Ability to lead multi-disciplinary teams to complete complex data science projects..
- Experience with AWS or similar cloud provider.
- Demonstrated experience in solving problems with structured and unstructured data.
- Experienced in applying statistical and data visualization skills.
- Strong problem-solving skills to manipulate data and draw insights from large data sets.
- Proven ability to learn and master new software, technologies and techniques.
- Experience in two or more of the following: Python, Machine Learning, Natural Language Processing, Neural Networks, Apache Spark, Hadoop, R, C++, SQL Database/Coding, or visualization tools
group id: 90908715
