Sr. Data Scientist

About the Opportunity

This is a full‑time, one‑year term appointment with the possibility of renewal. The Senior Data Scientist at the AI Solutions Hub (AISH), the delivery arm of Northeastern University’s Experiential AI Institute, will lead the development and delivery of AI solutions across diverse industries. The role involves building end‑to‑end AI pipelines—from business problem scoping to deployment and monitoring of production‑grade models—with a focus on both Generative AI and Deep Learning.

• Ph.D. (strongly preferred) or Master’s degree in Computer Science, Engineering, Applied Mathematics, Statistics, or a closely related field, with a focus on Deep Learning or Generative AI.
• Minimum of 5 years of industry experience in designing, developing, and deploying AI/ML solutions across sectors, including hands‑on model building.
• Demonstrated academic and industrial contributions in Generative AI and Deep Learning, including practical deployment of models using modern architectures such as convolutional neural networks, transformers, and diffusion models.
• Proven experience building AI solutions using classical ML algorithms such as decision trees, gradient boosting machines, and shallow neural networks.
• Demonstrated client‑facing experience, including engagement scoping, expectation management, and delivery leadership.
• Strong ability to translate complex technical findings into business insights for both technical and non‑technical audiences.
• Track record of cross‑functional collaboration and stakeholder engagement.
• Experience in commercializing AI technologies, including data‑driven tools and platforms.
• Knowledge, Skills, and Abilities

• Advanced understanding of statistical methods, regression, hypothesis testing, and experimental design.
• Deep expertise in predictive modeling, classical ML algorithms (e.g., decision trees, gradient boosting), large language models (LLMs), generative AI, MLOps, and AutoML using frameworks like PyTorch, Tensor Flow, Hugging Face, and Lang Chain.
• Demonstrated experience with modern AI model architectures including convolutional neural networks, transformers, and diffusion models.
• Demonstrated experience deploying ML systems into production environments, with a focus on performance, robustness, and scalability.
• Domain expertise in NLP, computer vision, or speech processing.
• Proficient in Python for software and ML pipeline development.
• Experience with SQL, No
  
  SQL, and cloud platforms (AWS, Azure, GCP).
• Familiar with distributed data systems (e.g., Apache Spark) and workflow orchestration tools (e.g., Airflow, Prefect).
• Solid background in software development, including Linux, Git, and OOP languages such as Python, Java, or C++.

• Strong grasp of Agile/Scrum development practices.
• Proven industry experience in requirements gathering and scoping solutions.
• The ability to convert high‑level business problems into actionable project plans and deliverables.

• Excellent interpersonal and communication skills to work directly with clients.
• Proven ability to develop custom AI strategies aligned with client goals.

• Hands‑on experience with distributed data processing (e.g., Apache Spark, Hadoop).
• Track record of building and scaling ML pipelines for both structured and unstructured data.
• Proven record of technical leadership in architecture and delivery of robust and scalable AI systems.
• At least 3 years of MLOps experience, including deployment and monitoring of AI models.
• Proven experience scaling GenAI models (e.g., LLMs, diffusion models) in production settings.
• Familiarity with containerization (Docker) and orchestration tools (Kubernetes).
• Preferred experience with MLOps tools and frameworks such as MLFlow, Airflow, Prefect, and related model monitoring and lifecycle management platforms.
• Demonstrated experience collaborating with clients to deliver tailored AI solutions that solve high‑value problems.

• Commitment to mentoring junior staff, fostering a culture of technical excellence and growth.

• Adheres…