Operational Data Scientist

IBM

Quick summary

Work type: On-site
Location: Ashburn, 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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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 Ashburn, 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 algorithms, conducting statistical analyses, 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 enterprise environment, focusing on optimizing operational efficiency and security protocols.

Skills

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

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 optimize operational processes.
Create visualizations and dashboards for stakeholders to understand data-driven decisions.
Maintain and update databases with accurate, real-time operational information.

What we're looking for

Must hold TS/SCI clearance with polygraph.
Requires strong background in data science and analytics.
Proficient in programming languages such as Python or R.
Experience with big data technologies like Hadoop or Spark.
Ability to extract insights from complex datasets for decision-making.
Strong problem-solving skills and analytical mindset required.
Excellent communication skills for presenting findings to stakeholders.

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