Senior Data Scientist
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Protocol Intelligence
Data-driven signals on your job's competitivenessMetro location, popular senior data role, and broad ML/LLM skillset increase candidate competition.
General ML, deep learning, and deployment skills are highly transferable across industries, so fit sensitivity is low.
Explicit 7-11 years requirement plus mandatory ML/LLM, frameworks, cloud, and deployment skills imply strict filters.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, validate, and deploy scalable machine learning and deep learning models including Generative AI and LLM-based solutions.
Collaborate with cross-functional teams to translate business problems into AI/ML technical solutions and drive adoption of ethical AI practices.
Lead model evaluation, documentation, code reviews, and mentor junior data scientists while staying updated on cutting-edge AI research.
Minimum Requirements
4+ years of proven AI/ML work experience within a total 7-11 years overall experience.
Bachelor’s or master’s degree in Computer Science, Statistics, Applied Mathematics, or related field.
Strong hands-on expertise with ML frameworks (scikit-learn, PyTorch, TensorFlow) and programming in Python.
Experience with cloud platforms (AWS, GCP, Azure), ML pipelines (MLflow, Airflow, Kubeflow), and containerization tools (Docker, Kubernetes).
Ideal Candidate Profile
Experienced in developing and deploying Generative AI and LLM-based solutions with strong focus on model robustness and ethical AI use.
Capable of operating in a cross-functional environment and leading technical mentoring and collaborative development.
Technically proficient with statistical methods, a wide range of ML and deep learning algorithms, and modern AI research application in production.