Data Scientist - Multiple Levels

Analyze complex datasets; design data models, pipelines, and analytic workflows; develop, validate, and deploy machine learning, statistical, NLP, and geospatial models; integrate analytical tools into existing systems, dataflows, or cloud infrastructure; and communicate findings clearly to technical, mission, customer, and business stakeholders.

• Proficiency in Python, SQL, and applied data science methods.
• Experience building models, pipelines, or analytic workflows using large or complex datasets.
• Strong foundation in statistics, algorithms, data structures, and data modeling.
• Experience working in cloud, distributed, or clustered computing environments.
• Bachelor’s degree in a related technical field, or equivalent practical experience.

Preferred / Role-Specific Qualifications:

• Experience with machine learning, deep learning, NLP, or text analytics tools and frameworks.
• Experience with AWS, cloud-enabled data workflows, or large-scale parallel processing platforms.
• Experience with geospatial analytics, Java development, CI/CD tools, or production machine learning systems.

Experience Levels:

Expert candidates independently build and deploy models, pipelines, and analytic workflows within a domain area.

SME candidates define analytic methodology, design scalable architectures, mentor team members, and lead delivery for complex data science and machine learning solutions.

Hoplite Solutions is seeking experienced Data Scientists to design, build, and deploy data-driven and machine learning solutions that turn complex data into actionable insights. This posting supports Expert and SME-level openings across data modeling, NLP/text analytics, geospatial analytics, cloud-enabled workflows, and large-scale data processing.