Overview

SOSi is seeking a skilled Data Scientist to join our analytics team working on an innovative MLOps workload leveraging cutting-edge technologies and supporting a government customer in Huntsville, Alabama. This role will be responsible for delivering automation to key national security missions interacting with petabyte-scale data on supercomputing resources.

In this role, you will conduct sophisticated data analytics, data mining, exploratory analysis, predictive analysis, and statistical analysis. You will leverage scientific techniques to transform petabyte-scale data into insightful data products to enable data-driven decisions. You will partner with Data Engineers to refactor manual workflows to produce highly automated MLOPs based workloads. You will perform using scrumban techniques and be embedded with end users.

The team will work with technologies including:

Open source, Commercial, and Government software packages such as Kafka, Beam, NumPy, Kubeflow, Nvidia Triton, PyTorch, TensorFlow, Weaviate, Neo4j, Grafana, etc.
Cloud native techniques and containerization with Docker
Infrastructure as Code with Terraform
Configuration as Code with OPA
Observability with tools like EFK and LOKI + OTel
Leverage GitOps patterns and CI/CD with tools like GitLab, Argo, and Harness
Perform SAST/DAST security with tools like SonarQube
Perform Kubernetes and K3s orchestration with tools like Rancher and Konvoy

SOSi is seeking data talent to unlock insights from massive datasets supporting strategic national security objectives. If you have a passion for data science and want to apply your skills to impactful projects at scale, we want to hear from you!

Essential Job Duties

Retrieve and process massive structured and unstructured datasets
Build ML models and automated systems like recommendation and scoring tools
Perform statistical analysis and data mining to create predictive systems
Visualize insights using Microsoft Office, Tableau, Python, R
Develop ML prototype solutions with TensorFlow, PyTorch etc.
Evaluate model performance by applying data science and math
Design, develop, and test ML applications using Python, Linux, Docker
Brief methodology and results to technical and non-technical audiences
Collaborate with teams to share best practices and domain knowledge

Minimum Requirements

Active TS/SCI Security Clearance
At least 4 years experience as a Data Scientist or advanced analytical role
Expertise in Python, R, SQL, statistics, data mining
Knowledge of ML and deep learning techniques
Ability to communicate complex insights

Preferred Qualifications

Knowledge of SciML
Experience with MLOps
Experience with Petabyte scale data sets
Experience with large-scale, multi-INT analytics
BS or MS in Computer Science, Statistics, Mathematics, Physics or a quantitative field

Work Environment

Working conditions are normal for an office environment.
Fast paced, deadline-oriented environment.
May require periods of non-traditional working hours including consecutive nights or weekends (if applicable).

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.

SOSi

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