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Data Scientist 2 with Security Clearance

Innovative Systems & Solutions, Inc.Annapolis Jct, MD🇺🇸United States

Why this role stands out

Leverage your advanced data science skills in a hybrid environment at a reputable company, where you'll tackle complex security challenges and drive impactful solutions. This mid-senior role is perfect for a proactive data scientist with a full-scope polygraph clearance who thrives on continuous learning and contributing to cutting-edge projects. Apply today to join a dynamic team and grow your career in a stimulating and secure setting.

Quick overview

SeniorityMid Senior
Employment typeEmployee
Work modeHybrid
LocationAnnapolis Jct, MD, United States
MongoDBSQLMachine LearningNumPyScikit-learnTableauPandasPostgreSQLPythonTensorFlow

Job description

MUST HAVE CURRENT FULL SCOPE POLY

  • 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 NumPy 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 TensorFlow 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 PostgreSQL and MongoDB) 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.

This position requires in-scope poly, within 7 years.

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