Operational Data Scientist

IBM

Quick summary

Work type: On-site
Location: Reston, VA
Posted: 12 days ago
Nearby: 99+ roles within 25 mi

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Similar $161k

$96k most similar roles pay here $228k

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At a glance

TL;DR · Operational Data Scientist

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We are seeking a mid-level Operational Data Scientist with TS/SCI clearance to join our dynamic team in Reston, VA. This role involves collaborating closely with cross-functional teams to analyze complex operational data and develop predictive models that enhance decision-making processes. Day-to-day responsibilities include designing and implementing machine learning algorithms, conducting statistical analyses, and creating visualizations to communicate insights effectively. The ideal candidate should have expertise in Python or R for data manipulation and analysis, proficiency in SQL for database querying, and experience with tools like Tableau or Power BI for data visualization. Additionally, knowledge of operational contexts within government or defense sectors is highly valued, as the role requires understanding intricate business problems and scaling solutions to meet organizational needs.

Skills

Python SQL Pandas NumPy Scikit-learn TensorFlow Keras AWS Azure Git Jupyter Notebook CI/CD Docker Kubernetes Prometheus Grafana PostgreSQL MongoDB

What you'll do

Analyze complex operational data to identify trends and insights.
Develop predictive models to forecast future operational scenarios.
Implement machine learning algorithms to automate data processing tasks.
Create visualizations and dashboards for stakeholders to understand data easily.
Maintain and update databases to ensure accuracy and reliability of information.

What we're looking for

Must hold an active TS/SCI clearance with polygraph.
Requires a bachelor’s degree in computer science, math, or related field.
Minimum 5 years of experience in data analysis and operational research.
Proficient in Python, R, SQL for data manipulation and statistical analysis.
Strong background in machine learning algorithms and predictive modeling.
Experience with big data technologies such as Hadoop, Spark, and Kafka.
Excellent problem-solving skills and ability to work under pressure.

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