Senior Data Scientist

We are repeatedly recognized as a top place to work, and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 12 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success.

We are actively looking for people dedicated to excellence in technical knowledge, client management, working collaboratively and mentoring and sales and growth.

Credence has immediate openings for talented and motivated Engineer/Scientist(s) to join our growing team. In this role, you will design, develop, and implement AI models and machine learning algorithms to support a variety of high-impact projects. This position is ideal for an engineer ready to deepen their expertise and take on exciting technical challenges.

• Design, develop, and deploy machine learning models and AI-driven solutions. 
• Collaborate with cross-functional teams, including data scientists, software engineers, product managers, and client stakeholders to understand, evaluate and deliver AI solutions that meet the requirements. 
• Conduct data preparation, feature engineering, model selection, training and optimization to ensure optimal performance from the AI models. 
• Design and implement AI solutions using the latest Generative AI technologies and foundation models / large-language models (LLMs). 
• Develop automation scripts for MLOps pipelines in cloud using Infrastructure as Code (IaC) for ML model deployment in model inferencing workflows, following best practices of model versioning and CI/CD deployments. 
• Manage AI model performance post-deployment and support AI tool development and best practices
• Stay updated on AI & ML trends and write clean, maintainable and well-documented code following industry standards

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. 
• US citizenship with the ability to obtain successful DoD TOP SECRET security clearance required.
  
  • Mid-Level Data Scientist 3-7 years of hands-on experience in AI/ML development & deployments of AI projects and/or
  • Senior Level Data Scientist 10+ ears of hands-on experience in AI/ML development & deployments of AI projects.
• Strong knowledge of AI/ML techniques, including supervised, unsupervised, and reinforcement learning, with expertise in Python, AI/ML key libraries, and basic LLM concepts
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes). 
• Experience using ML frameworks and tools in the cloud, such as Amazon Sagemaker. 
• Strong problem-solving skills and the ability to work both independently and as part of a team. 
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. 

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