Overview:
We are looking for seasoned Data Scientist to work with our existing team of Data Scientists and Engineers to use Generative AI technology in supporting Federal use cases. We are looking for a more than just a "Data Scientist", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.
Responsibilities:
Responsibilities include:
* Identify and implement the most optimal cloud-based solutions for the customer
* Design, develop, and deploy modular cloud-based systems
* Understanding the needs of stakeholders and conveying this to developers
* Automate and improve configuration, provisioning, deployment, and release processes
* Testing and examining code written by others and analyzing results
* Ensuring that systems are safe and secure against cybersecurity threats
* Identifying technical problems, performing root cause analysis, and developing software updates and 'fixes'
* Working with software developers and DevSecOps engineers to ensure that development follows established processes and works as intended
* Support enterprise Cloud applications or infrastructure through infrastructure as code including any activities around automated server or network configurations, large-scale software deployments, and monitoring and testing
* Ensure efficient functioning of data storage and process functions in accordance with organizational security policies and best practices
* Document as-is state of the environment, perform a gap analysis, and produce artifacts that articulate options and recommendations
* Identify, analyze, and resolve infrastructure vulnerabilities and application deployment issues
* Act as an individual contributor and mentor more junior team members
* Engineer and implement solutions and provide recommendations for continuous improvement for the services provided
* Present regular status updates and provide cross training to other team members.
Qualifications:
Required:
* Ability to obtain a U.S. government Security Clearance
* BS Degree in an IT field OR BS in a non-IT field and 2 years related IT experience
* 3 Years of Experience architecting, designing, developing, and implementing cloud solutions
* 3 Years of Experience with one or more clouds (i.e. AWS, Azure, or GCP)
* 3 Years of Experience with Git SCM providers such as GitHub, GitLab, Bitbucket
* 3 Years of Experience with systems development in an Agile environment
* 3 Years of Experience implementing infrastructure as code and orchestration
* 3 Years of Experience integrating deployments with industry standard DevSecOps tooling and orchestration
Preferred:
* Certifications:
* AWS Certified DevOos Engineer
* AWS Certified Solution SysOps Administrator Associate
* Microsoft Certified Azure Administrator Associate
* SAFe DevOps Certification
* Excellent written and verbal communication skills, interpersonal and collaborative skills
* Experience with documenting an as-is state of the environment, perform a gap analysis, and produce artifacts that articulate options and recommendations preferred
* Experience with scripting in Concourse, Bash, PowerShell, Python, Groovy, or Ruby
* Experience implementing docker containers and utilizing platforms such as Kubernetes
* Experience with automation tools, including Pivotal, Chef, Terraform, CloudFormation, or Ansible
* Experience in several of the following areas: database architecture, ETL, business intelligence, big data, machine learning, advanced analytics
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