Job Description
Job Description
Description
SAIC Is seeking a Data Scientist to support our work at Camp Smith. This position will work to develop and implement data analytics techniques and applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. This candidate will:
- Applies data mining, data modeling, statistics, graph algorithms and machine learning to extract and analyze information from large structured and unstructured datasets to support analytics objectives.
- Visualizes, interprets, and reports data findings in dynamic data reports.
- Employs a variety of data manipulation and visualization tools to best convey information/results to customers.
- Comfortable working with data in a variety of formats including excel, CSV, JSON, XML.
- Supports the design, development, testing and implementation of web-based collaboration tools & platforms for data reporting. Plans and conducts software integration or testing, including analyzing and implementing test plans and scripts, in support of analytics objectives.
- Demonstrates proficiency with frequent scripting language use, such as Python (primary) or R and using packages commonly used in data science applications or advanced analytics such as SQL.
- Familiar with Kubernetes clusters and utilization of tools such as Prometheus or similar.
- Conduct exploratory data analysis for testing hypothesis.
- Utilization of Microsoft's Power BI, Tableau, and other toolsets to visualize data and share insights with senior decision makers.
- Proficient in Grafana as an open-source analytics and interactive visualization web application for monitoring application performance.
Qualifications
Required Technical Skills:
- Experience with scripting and programming, including Python and Java.
- Experience with data visualization tools and dashboard development such as Grafana, Power BI, or Tableau.
- Knowledge of probability, statistics, and machine learning.
- Experience with NoSQL databases, such as MongoDB or Accumulo and RDBMS databases such as Postgres or MySQL.
- Applied statistics skills, such as distributions, statistical testing, and regression.
- Scripting and programming skills using Python, scikit-learn library and other statistical analysis libraries/framework.
- Understanding of common programming paradigms APIs (pub/sub, REST, etc.).
- Worked in a medium to large-scale project using configuration management tools (Atlassian suite, Git, Github/Gitlab.).
Required Personal Skills:
- Strong interpersonal, communication, and presentation skills.
- Able to manage and prioritize tasks to ensure optimum productivity.
- Able to present technical briefs, giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate.
- Able to lead discussions pertaining to technical subject matter.
- Have effective customer service skills required to interface with corporate and government customers.
- Able to effectively communicate with the Customer, command staff, and peer contractor personnel.
- Able to effectively operate standard computer-based business tools (including but not limited to Microsoft Word and Excel).
- Able to demonstrate excellent (clear and concise) written communication skills in a technical format, that will support in the development of all required plans and reports required of the program.
Required Experience and Education:
- Bachelor of Science in the following preferred fields: Computer Science, Engineering, Information Systems, Information Technology or related fields.
- 9+ years of relevant experience.
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