Operational Data Scientist

IBM

Quick summary

Work type: On-site
Location: Alexandria, VA
Posted: 11 days ago
Nearby: 99+ roles within 25 mi

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Similar $162k

$97k most similar roles pay here $233k

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Based on 240 similar postings.

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About IBM

IBM is a US-based global technology company providing hybrid cloud, AI, consulting, enterprise software, and IT infrastructure products and services.

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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 Alexandria, VA. This role involves collaborating closely with cross-functional teams to develop and implement advanced analytics solutions that enhance operational efficiency and decision-making processes. Day-to-day responsibilities include analyzing complex datasets, building predictive models, and creating visualizations to communicate insights effectively. The ideal candidate will have expertise in Python or R for data manipulation and analysis, proficiency in SQL for database querying, and experience with machine learning frameworks like scikit-learn or TensorFlow. Additionally, familiarity with cloud platforms such as AWS or Azure is highly desirable. This position addresses critical business challenges within a large-scale defense sector environment, requiring strong problem-solving skills and the ability to work under tight deadlines.

Skills

Python SQL Pandas NumPy Scikit-learn TensorFlow Keras AWS Google Cloud Platform Azure Docker Kubernetes CI/CD Git Jupyter Notebook Tableau PowerBI MongoDB PostgreSQL

What you'll do

Analyze complex operational data to identify trends and insights.
Develop predictive models to forecast future operational outcomes.
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 Master’s degree in Computer Science, Statistics, or related field.
Minimum of 5 years’ experience in data science and analytics roles.
Proficient in Python, R, SQL for data manipulation and analysis.
Strong background in machine learning algorithms and statistical modeling.
Experience with big data technologies like Hadoop, Spark, and Kafka.
Excellent problem-solving skills and ability to work under pressure.

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