Operational Data Scientist

IBM

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Work type
On-site
Location
Frederick, MD
Posted
11 days ago

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Similar $162k
$97k most similar roles pay here $233k

This listing doesn't post a salary. Most similar roles pay $126,800–$198,000.

Based on 240 similar postings.

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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 Frederick, Maryland. 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 actionable insights through cutting-edge statistical techniques. Proficiency in Python or R is essential, along with experience in SQL for data extraction and manipulation. Knowledge of machine learning frameworks like scikit-learn and TensorFlow, as well as familiarity with big data technologies such as Hadoop and Spark, will be highly beneficial. The ideal candidate possesses strong problem-solving skills and can effectively communicate technical findings to non-technical stakeholders within a fast-paced environment focused on national security applications.

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 bachelor’s degree in data science, computer science, or related field.
  • At least 5 years of experience in operational data analysis and intelligence.
  • Proficient in Python, R, SQL for data manipulation and statistical analysis.
  • Strong background in machine learning and predictive analytics techniques.
  • Experience with big data platforms like Hadoop, Spark, and cloud services.
  • Excellent problem-solving skills and ability to work under pressure.

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