Senior Data Scientist

Key Skills

Apache Beam, Apache Kafka, Argo, Continuous Integration & Continuous Delivery - CI/CD, Data Engineering, Data Mining, Data science techniques, Deep Learning, Effective communication skills, GitLab, Grafana, Kubeflow, Kubernetes-K8s, Machine learning techniques, Microsoft Office suites, MLOps tools, Neo4J, NumPy, Python Programming, PyTorch, R Programming, SQL, Statistics, TensorFlow

Job Description

Axient is seeking a highly skilled Data Scientists 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.

For this role it is required to have an active Top Secret security clearance with ability to obtain SCI with CI polygraph.

Responsibilities

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

Responsibilities

• 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
• Collaborate across teams to articulate key findings
• Work independently with minimal oversight
• Guide more junior team members

Qualifications

Qualifications

• BS or MS in Computer Science, Statistics, Mathematics, Physics or a quantitative field
• 12+ years of experience working in the field of Data Engineering and Data Science.
• Top Secret Security Clearance
• Significant experience as a Data Scientist or advanced analytical role
• Expertise in Python, R, SQL, statistics, data mining
• Deep understanding of ML and deep learning techniques
• Expert at communicating complex insights
• Top Secret Security Clearance with SCI eligibility

Preferred Qualifications

• Deep understanding of SciML
• Significant experience with MLOps
• Significant Experience with Petabyte scale data sets
• Significant Experience with large-scale, multi-INT analytics

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Applicants for positions which require a US government security clearance or access must meet eligibility requirements to include US citizenship.

This company is an Equal Employment Opportunity Employer as defined by the EEOC. If you are a qualified individual with a disability or are a disabled veteran, and are unable or limited in your ability to use or access our online application as a result of your disability, you have the right to receive assistance by calling us directly at 256-650-6263 or click here to reach us by email. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, national origin or ancestry, gender, age, sexual orientation, gender orientation, physical or mental disability, veteran status, genetic information, citizenship, or any other federal, state, or locally protected class.