Accelintjobboardtest
Data Scientist
Saint Paul, MN · Internship
Work authorization requiredDetected 25 days ago
PythonAlgorithmsGitSQLAWSGCPAzureCloud PlatformsDockerKubernetesGrafanaKafkaRabbitMQMachine LearningTensorFlowPyTorchscikit-learnPandasNumPyData AnalysisData ScienceData VisualizationStatisticsCybersecurity
About the role
- Note: This position is contingent upon contract award.
- When you join Accelint, your work directly contributes to protecting national security and strengthening the systems our society depends on.
- The Data Scientist will apply knowledge of statistics, machine learning, programming, and data modeling.
Responsibilities
- Employees may telework on designated days or as needed with supervisor approval, provided they maintain established communication expectations and effectively meet job responsibilities.
- We build the technologies that help operators and organizations see what's happening, make faster and better decisions, take action with confidence, and stay ready for what comes next.
- For nearly 30 years we have supported military and civilian agencies across the Department of Defense, U.S. allies and partners, and essential industries.
- SIE develops resilient, integrated systems that enhance situational awareness, sustain mission readiness, and deliver reliable performance across air, ground, and maritime environments.
- This role focuses on developing innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets.
Requirements
- Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related quantitative field
- advanced degree, relevant internship experience, or equivalent hands-on industry experience may be considered in lieu of traditional qualifications.
- At least 2 years of experience in data science or related discipline, will consider advanced degree in lieu of years of experience.
- Experience analyzing system performance data and time series data.
- Proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-learn, etc.).
- Strong background in statistical analysis, forecasting techniques, and anomaly detection Experience with SQL and relational databases.
- Knowledge of data visualization tools for creating operational dashboards (Tableau, Power BI, Grafana, or similar).
- Must be able to lift up to 15 pounds at times.
- This position may require the ability to travel up to 5%.
Benefits
- They use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms to mine the stores of big data.
Company info
- This role is part of our Systems Innovation Engineering (SIE) division, which specializes in readiness and logistics, autonomous platforms, and sensor technologies.
Visa & Work Authorization
- national security clearance or be able to receive and maintain one
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