Operational Data Scientist

IBM

Quick summary

Work type
On-site
Location
McLean, VA
Posted
12 days ago

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Salary context

How this pay compares to similar roles

Similar $161k
$96k most similar roles pay here $228k

This listing doesn't post a salary. Most similar roles pay $126,800–$195,670.

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

We are seeking a mid-level Operational Data Scientist with TS/SCI clearance to join our dynamic team in McLean, 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 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 libraries such as scikit-learn and TensorFlow. Additionally, familiarity with big data technologies like Hadoop and Spark is highly desirable. This position plays a crucial role in addressing critical business challenges within the defense sector, requiring strong analytical skills and an understanding of operational contexts at scale.

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 TS/SCI clearance with polygraph.
  • Requires strong background in data analysis and operational research.
  • Proficient in statistical software and programming languages like Python/R.
  • Experience in handling classified information and security protocols essential.
  • Ability to consult on complex data science projects and provide actionable insights.

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