Operational Data Scientist

IBM

Quick summary

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

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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 Bethesda, Maryland. This role involves collaborating closely with cross-functional teams to develop and implement advanced data analytics solutions that drive operational efficiency and decision-making. Day-to-day responsibilities include designing predictive models, 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 big data technologies such as Hadoop or Spark is highly desirable. This position plays a crucial role in addressing complex business challenges within the defense sector, requiring strong problem-solving skills and an ability to work under tight deadlines.

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 integrity of information.

What we're looking for

  • Must hold TS/SCI clearance with polygraph.
  • Requires advanced degree in data science, statistics, or related field.
  • Proven experience in operational analysis and intelligence operations.
  • Strong skills in statistical modeling and machine learning techniques.
  • Experience with big data platforms and SQL for data manipulation.

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