Data Scientist

• Design, build, and maintain AI agents programmatically using code-based agent frameworks, with explicit control over agent state, control flow, tool integration, and prompt behavior.
• Develop, enhance, and maintain agents across the portfolio as they evolve with business needs, including investigation, recommendation, data lake exploration, and conversational agents.
• Integrate agents with upstream data and tooling, including anomaly detection model outputs, historical and processed data, and real-time sources.
• Deploy agents to production through the established CI/CD pipeline, coordinating with engineering teams on containerization, gateway integration, and deployment automation.
• Design and execute project-specific, supervised evaluation of agent quality by constructing gold-standard datasets with subject matter experts.
• Instrument and analyze agent behavior using tracing and observability tooling to diagnose failures and drive iterative improvement.
• Apply prompt engineering, context engineering, and tool design to improve agent reasoning, accuracy, and reliability.
• Ensure agents are built to production standards: version-controlled, testable, and with deterministic, reviewable control flow.
• Collaborate with Data Engineering, Anomaly Detection, and Platform Engineering teams.
• Support the extension of agent capabilities toward autonomous remediation use cases.
• Document agent designs, evaluation methodologies, and results for varied technical audiences.

Education: Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related field, or equivalent relevant experience., * Bachelor’s degree: 5+ years of relevant data science, machine learning, or agent/software development experience.

• Master’s degree: 3+ years of relevant data science, machine learning, or agent/software development experience.
• Strong experience building and evaluating AI agents with tools like LangSmith.
• Strong Machine Learning background, as agents run on models and their outputs.

Technical Skills:

• Strong software engineering fundamentals, particularly object-oriented programming.
• Programming experience with Python and/or Scala, and an openness to learning new coding technologies.
• Bash or Shell scripting experience.
• Experience building AI agents programmatically from the ground up using code-based frameworks (e.g., LangGraph).
• Basic understanding of large language models and agentic patterns (e.g., multi-step reasoning, tool/function calling).
• Experience with prompt engineering and context engineering.
• Demonstrated experience evaluating model or agent output quality, including designing evaluation datasets.
• Experience deploying solutions to production, with an understanding of version control and automated testing.
• Experience with AWS services (e.g., S3, Athena, SageMaker) and working with Big Data.
• Strong understanding of SQL and working with structured/tabular data.
• Experience with Git-based version control and collaborative development workflows.
• Basic understanding of network infrastructure., * Experience with agent evaluation and tracing/observability platforms (e.g., LangSmith).
• Experience integrating agents with external tools and data sources.
• Experience deploying agents through CI/CD pipelines (e.g., GitLab).
• Familiarity with LLM-as-a-judge metrics and understanding when supervised, gold-standard evaluation is required.
• Experience in the telecommunications industry or other large-scale network operations environments.
• Familiarity with network data sources such as telemetry, syslogs, SNMP traps, and device configuration data.
• Experience with workflow orchestration tools for event-driven agent execution.
• Experience with REST APIs and cloud SDKs (e.g., boto3).

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.

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