Operational Data Scientist

IBM

Quick summary

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

Market check

Salary context

How this pay compares to similar roles

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.

Employer

About IBM

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

IBM currently has 816 open roles on FindRole.

Most-posted roles

View all roles at IBM

At a glance

TL;DR · Operational Data Scientist

Role Posting Log in to save

We are seeking a mid-level Operational Data Scientist with TS/SCI clearance to join our dynamic team in Washington, DC. 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 such as scikit-learn or TensorFlow. Additionally, familiarity with big data technologies like Hadoop or Spark is highly desirable. This position plays a crucial role in addressing critical business challenges within the defense sector, requiring a deep understanding of operational contexts and the ability to work on high-stakes projects at scale.

Skills

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

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 to communicate findings to stakeholders effectively.
Maintain and update databases to ensure accurate and timely analysis.

What we're looking for

Must hold an active TS/SCI clearance with polygraph.
Requires a Master’s degree in Computer Science, Mathematics, or related field.
At least 5 years of experience in data analysis and operational research.
Proficient in Python, R, SQL for data manipulation and statistical analysis.
Strong background in machine learning algorithms and predictive modeling techniques.
Experience with big data technologies such as Hadoop, Spark, and NoSQL databases.
Excellent problem-solving skills and ability to work under tight deadlines.

Save