Data Scientist – Ts/Sci
| Company | Maxar Technologies |
|---|---|
| Location | Washington, DC, USA, Chantilly, VA, USA, Arlington, VA, USA |
| Salary | $131000 – $155000 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior |
Requirements
- Must be a US citizen and have an active TS/SCI with CI poly.
- 8 years experience and a related degree.
- Demonstrated experience with Python for data science.
- Possesses knowledge and experience of advanced analytics and data storage.
- Demonstrated oral and written communication skills.
- Knowledge of various data science applications and architectures.
- Possesses an expert ability to describe findings and techniques tailored to the intended audience, including technical and nontechnical decision makers.
Responsibilities
- Work as part of an Agile development team to further the application and understanding of data science.
- Apply technical methods to data science problems supporting business and mission users.
- Advise or lead interdisciplinary teams throughout the full course of a data science project life cycle.
- 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.
Preferred 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 such as Tableau.