Data Scientist III

2 Months ago • 12 Years +

Data Analysis

Job Description

Kavaliro is seeking a Data Scientist III to support a client in Maryland. The role requires deep expertise in machine learning, scalable data solutions, and secure operations, with a focus on building and deploying ML models in production, integrating CI/CD pipelines for data workflows, and supporting mission-critical systems in a classified setting. Responsibilities include designing and developing end-to-end data science solutions, implementing MLOps frameworks, collaborating with cross-functional teams, managing large-scale datasets and data pipelines, and documenting solutions. A Bachelor’s degree in a related field and a minimum of 12 years of professional experience are required, along with proficiency in Python, R, or Scala, hands-on MLOps tools experience, and Docker/Kubernetes deployment skills. An active TS/SCI with polygraph clearance is mandatory.

Good To Have:

Master's degree or PhD in a quantitative discipline
Familiarity with mission environments, secure enclaves, or IC community tools
Experience with cloud platforms (AWS, Azure, or GCP)
Experience with infrastructure-as-code (e.g., Terraform)

Must Have:

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field (or equivalent experience)
Minimum 12+ years of professional experience in data science and MLOps
Proficiency in Python, R, or Scala
Hands-on experience with MLOps tools (MLflow, Kubeflow, SageMaker)
Experience deploying ML models via Docker, Kubernetes, or cloud-native environments
Strong grasp of data engineering principles and secure data operations
Active in-scope TS/SCI with polygraph (within last 7 years)

Add these skills to join the top 1% applicants for this job

cross-functional

aws

azure

terraform

data-science

ci-cd

docker

kubernetes

python

scala

machine-learning

Kavaliro is seeking a Data Scientist III to support a client in Maryland.

Job Description:
Kavaliro is seeking a Data Scientist / MLOps Engineer to support an upcoming program requiring deep expertise in machine learning, scalable data solutions, and secure operations. In addition to fulfilling all requirements under the DS3 labor category, the ideal candidate will bring substantial experience building and deploying machine learning models in production environments, integrating CI/CD pipelines for data workflows, and supporting mission-critical systems in a classified setting.
Responsibilities:

Design and develop end-to-end data science solutions, including feature engineering, modeling, and deployment
Implement and maintain MLOps frameworks for continuous integration and delivery of ML models
Collaborate with cross-functional teams to support analytic and operational needs
Manage large-scale datasets, data pipelines, and compute environments in compliance with security standards
Document solutions and contribute to model governance and reproducibility efforts

Required Qualifications (DS3 + MLOps):

Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field (or equivalent experience)
Minimum 12+ years of professional experience (per DS3 category), with recent focus in data science and MLOps
Proficiency in Python, R, or Scala for statistical computing and machine learning
Hands-on experience with MLOps tools such as MLflow, Kubeflow, or SageMaker
Experience deploying ML models via Docker, Kubernetes, or cloud-native environments
Strong grasp of data engineering principles and secure data operations
Must possess an active in-scope TS/SCI with polygraph (within last 7 years)

Preferred Qualifications:

Master’s degree or PhD in a quantitative discipline
Familiarity with mission environments, secure enclaves, or IC community tools
Experience with cloud platforms (AWS, Azure, or GCP) and infrastructure-as-code (e.g., Terraform)

Location:

Fort Meade, MD
This position is onsite and there is no remote availability

Clearance Requirement:

Candidates must have an active TS/SCI security clearance with a Full Scope Polygraph

Kavaliro provides Equal Employment Opportunities to all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Kavaliro is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Kavaliro will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please respond to this posting to connect with a company representative.

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