About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT Services and IT Consulting.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

As a Data Scientist with Confidential Client you will build production-ready machine learning, generative AI and agentic AI solutions that drive business impact. You will work closely with cross-functional engineering and product teams to move models from research to production.

• Lead hands-on development of advanced ML, GenAI and agentic AI models (training, testing, evaluation).
• Write production-grade Python code and collaborate with ML engineers to productionize models and agents.
• Implement LLM deployment patterns including RAG, Agentic RAG, fine-tuning (e.g., LoRA), and vector search.
• Design and validate experiments (A/B testing, offline/online evaluation) and monitor model performance in production.
• Partner with data and software engineers to build reliable data pipelines, CI/CD, and integration with business platforms.
• Use cloud-based AI platforms (AWS SageMaker, Bedrock, or similar) to train, deploy, and manage models.
• Continuously research and prototype new algorithms, architectures and tooling to improve model performance and robustness.

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Who You Are / Qualifications

• Advanced degree (MS or PhD preferred) in Mathematics, Statistics, Computer Science, Engineering, Physics, Econometrics, Data Science or a related quantitative field.
• Strong foundation in statistics, probability, multivariable calculus and linear algebra.
• Demonstrated experience building, evaluating and deploying supervised and unsupervised ML models.
• Applied experience with large language models, NLP tasks, and modern GenAI techniques (RAG, LangChain, vector DBs).
• Experience engineering or integrating agentic AI/agents and LLM orchestration frameworks.
• Proficient in Python and SQL; familiarity with production ML tooling and pipeline frameworks (CI/CD, SageMaker, Airflow, Docker/Kubernetes).
• Experience with cloud AI platforms (AWS Bedrock, SageMaker, Azure equivalents) and DevSecOps practices.
• Excellent problem-solving, communication and collaboration skills; ability to translate technical work into business impact.

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Skills & Tools

• Programming: Python, SQL
• ML / Libraries: PyTorch, TensorFlow, scikit-learn
• GenAI / LLMs: RAG, LangChain, LangGraph, LoRA fine-tuning, vector DBs
• Agentic AI: Agents SDKs, AgentCore, Claude Agents SDK (or similar)
• Cloud & Deployment: AWS (SageMaker, Bedrock), CI/CD, containerization (Docker), orchestration
• Data: ETL, data modeling, structured & unstructured data processing
• Databases: Relational SQL, NoSQL, Graph DBs
• Experimentation & Monitoring: A/B testing, model monitoring, observability tools

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Compensation & Logistics

• Pay rate: $65–$75 per hour (depends on experience) — contract / right-to-hire engagement.
• Location & work model: Hybrid — Newark, NJ (on-site presence required per team schedule).
• Employment type: Contract (right-to-hire) — final hiring arrangement will be determined by Confidential Client.

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Why Join

• Work on cutting-edge ML, GenAI and agentic AI problems with cross-disciplinary teams.
• Influence models and systems that produce measurable business outcomes.
• Collaborative environment that values continuous learning and experimentation.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.