Data Scientist Skill Level 2; FST

Position: Data Scientist Skill Level 2 (FST - 070)
### Description Serving Maryland and the Greater Washington D.C. area, Sage Cor Solutions (Sage Cor) is a growing company bringing complete engineering services and true full lifecycle System Engineering services to areas requiring (or desiring) nationally-recognized expertise in high performance computing, large data analytics and cutting edge information technologies.
** Active TS/SCI w/ Polygraph required.
***
* Required Skills:

*
* • Programming

Languages:

Proficiency in programming languages such as Python and R is crucial for data manipulation, analysis, and implementing algorithms. Python is favored for its simplicity and extensive libraries (like Num Py and pandas), while R is preferred for statistical analysis and data visualization.
• Statistical Analysis: A strong foundation in statistics and probability is necessary for analyzing data accurately and making informed decisions. Understanding concepts like regression analysis, hypothesis testing, and statistical distributions is essential.
• Machine Learning:
Knowledge of machine learning algorithms and frameworks (such as Tensor Flow and Scikit-Learn) is vital for building predictive models and automating decision-making processes.
• Data Wrangling:
The ability to clean and organize complex datasets is critical. Data wrangling involves transforming raw data into a usable format, which is often time-consuming but necessary for effective analysis.
• Database Management:
Familiarity with SQL and database management systems (like Postgre

SQL and Mongo

DB) is essential for extracting and manipulating data stored in relational databases.
• Data Visualization:
Skills in data visualization tools (such as Tableau and Matplotlib) help communicate findings effectively. Creating charts, graphs, and dashboards is crucial for making data understandable to stakeholders.
** Consistent with federal and state law where Sage Cor conducts business, Sage Cor Solutions provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, or any other protected class.*
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