Axient
Senior Data Scientist
Axient, Huntsville, Alabama, United States, 35824
Axient is seeking a highly 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.For this role, it is required to have an active Top Secret security clearance with the 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 DockerInfrastructure as Code with TerraformConfiguration as Code with OPAObservability with tools like EFK and LOKI + OTelLeverage GitOps patterns and CI/CD with tools like GitLab, Argo, and HarnessPerform SAST/DAST security with tools like SonarQubePerform Kubernetes and K3s orchestration with tools like Rancher and KonvoyKey Responsibilities
Retrieve and process massive structured and unstructured datasetsBuild ML models and automated systems like recommendation and scoring toolsPerform statistical analysis and data mining to create predictive systemsVisualize insights using Microsoft Office, Tableau, Python, RDevelop ML prototype solutions with TensorFlow, PyTorch, etc.Evaluate model performance by applying data science and mathDesign, develop, and test ML applications using Python, Linux, DockerBrief methodology and results to technical and non-technical audiencesCollaborate with teams to share best practices and domain knowledgeCollaborate across teams to articulate key findingsWork independently with minimal oversightGuide more junior team membersQualifications
BS or MS in Computer Science, Statistics, Mathematics, Physics, or a quantitative field12+ years of experience working in the field of Data Engineering and Data ScienceTop Secret Security ClearanceSignificant experience as a Data Scientist or advanced analytical roleExpertise in Python, R, SQL, statistics, data miningDeep understanding of ML and deep learning techniquesExpert at communicating complex insightsTop Secret Security Clearance with SCI eligibilityPreferred Qualifications
Deep understanding of SciMLSignificant experience with MLOpsSignificant experience with petabyte-scale data setsSignificant experience with large-scale, multi-INT analytics
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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 the 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 DockerInfrastructure as Code with TerraformConfiguration as Code with OPAObservability with tools like EFK and LOKI + OTelLeverage GitOps patterns and CI/CD with tools like GitLab, Argo, and HarnessPerform SAST/DAST security with tools like SonarQubePerform Kubernetes and K3s orchestration with tools like Rancher and KonvoyKey Responsibilities
Retrieve and process massive structured and unstructured datasetsBuild ML models and automated systems like recommendation and scoring toolsPerform statistical analysis and data mining to create predictive systemsVisualize insights using Microsoft Office, Tableau, Python, RDevelop ML prototype solutions with TensorFlow, PyTorch, etc.Evaluate model performance by applying data science and mathDesign, develop, and test ML applications using Python, Linux, DockerBrief methodology and results to technical and non-technical audiencesCollaborate with teams to share best practices and domain knowledgeCollaborate across teams to articulate key findingsWork independently with minimal oversightGuide more junior team membersQualifications
BS or MS in Computer Science, Statistics, Mathematics, Physics, or a quantitative field12+ years of experience working in the field of Data Engineering and Data ScienceTop Secret Security ClearanceSignificant experience as a Data Scientist or advanced analytical roleExpertise in Python, R, SQL, statistics, data miningDeep understanding of ML and deep learning techniquesExpert at communicating complex insightsTop Secret Security Clearance with SCI eligibilityPreferred Qualifications
Deep understanding of SciMLSignificant experience with MLOpsSignificant experience with petabyte-scale data setsSignificant experience with large-scale, multi-INT analytics
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