Axient LLC
Senior Data Scientist
Axient LLC, Huntsville, Alabama, United States, 35824
Check out this NEW Opportunity with Axient!:
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. What you will do...: 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
Skills you will need...: 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
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. What you will do...: 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
Skills you will need...: 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