Data Scientist & Advanced Analytics Specialist

Global InfoTek, Inc.
Reston, VA, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours
Job source

Tech stack

Airflow Amazon Web Services Big Data Cloud Database Database Queries Apache Hadoop Intelligence Analysis Python (Programming Language) Named Entity Recognition NumPy Power BI DataOps
+16 more
Cloudera Tableau (Software) Snowflake Apache Spark Pandas Scikit Learn Information Technology Data Analytics Plotly Apache Kafka Machine Learning Operations Document Classification Data Pipelines Devsecops Amazon Redshift Databricks

Requirements

Education Level: Bachelor’s or Master’s Degree in Data Science, Statistics, Applied Mathematics, or Computer Science, * Proficiency in statistical modeling, data mining, and predictive analytics using Python (Pandas, NumPy, Scikit-learn) or R.

  • Hands-on experience engineering big data pipelines using Apache Spark, Airflow, Kafka, or Hadoop ecosystems.

  • Strong SQL skills and experience working with cloud data warehouses (AWS Redshift, Snowflake, Databricks).

  • Experience building interactive data visualization dashboards (Tableau, PowerBI, Plotly/Dash).

  • Ability to clean, fuse, and extract insights from structured and unstructured multi-source defense data.

Desired Skills

  • Knowledge of natural language processing (NLP) for automated document classification and entity extraction.

  • Prior background supporting DoD R&D datasets, test range metrics, or intelligence analysis.

  • Experience applying DevSecOps practices to data science workflows (DataOps/MLOps).

Relevant Certifications

DASCA Senior Data Scientist (SDS), AWS Certified Data Analytics, or Cloudera Certified

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