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Job Description

Agilite Global Solutions Company is hiring a Senior Data Scientist to strengthen the Data Platform engineering team within a healthcare technology environment. This role focuses on leading AI and ML initiatives end-to-end, from ideation through deployment and scaling, while partnering closely with internal stakeholders to deliver measurable customer outcomes.

What you’ll do

  • Develop and implement AI and machine learning strategies, taking initiatives from early ideation through deployment.
  • Stay current with evolving AI and machine learning technologies, tools, and trends.
  • Build and maintain strong relationships with stakeholders, customers, and partners across internal and external teams.
  • Promote generative AI adoption through proofs-of-concept and demos for employee and functional groups, including technology, operations, marketing, legal, compliance, people, internal infrastructure, and more.
  • Lead hands-on when needed by diving deep into technical problem-solving and execution.
  • Spot opportunities to improve technology capabilities and drive innovation during development.
  • Apply deep learning, NLP, computer vision, and other AI techniques to improve model performance.
  • Support model interpretability, fairness, and compliance with data governance policies.
  • Mentor junior data scientists while contributing to the broader data strategy.
  • Collaborate with the Innovation team and other engineering leaders to shape and execute AI strategy.

Key skills and qualifications

  • Proven communication, presentation, and interpersonal skills, with the ability to explain complex AI/ML concepts and outcomes to technical and non-technical audiences.
  • Experience working with cross-functional and distributed teams in a global, diverse environment.
  • Experience establishing and enforcing AI/ML best practices, standards, and ethics.
  • Strong analytical, problem-solving, and decision-making skills, balancing innovation with practicality.
  • Experience with cloud platforms and services such as AWS, Azure, and GCP.
  • Experience with generative AI and LLMs.
  • Experience mentoring, coaching, and developing AI/ML talent.
  • Demonstrated drive to keep learning and staying current with AI/ML trends and research.
  • Experience leading and managing AI/ML teams and projects from ideation to delivery and evaluation.
  • Proficient in Python, R, or other programming languages for data analysis and AI/ML development.
  • A can-do attitude and commitment to positive cultural impact; strong customer focus.

Education and experience

  • Bachelor’s Degree in Computer Science or a related field.
  • 12+ years of experience in Software Engineering, Data Science, AI, or Analytics.
  • 6+ years of experience with AI/ML techniques such as deep learning, NLP, recommender systems, reinforcement learning, and large language models (LLMs).
  • 6+ years of experience with AI/ML frameworks and tools including MLFlow, TensorFlow, PyTorch, Keras, and Scikit-learn.

Technologies you’ll work with

  • AI, machine learning, generative AI, LLMs, deep learning
  • NLP, natural language processing, computer vision
  • Python, R
  • AWS, Azure, GCP
  • MLFlow, TensorFlow, PyTorch, Keras, scikit-learn
  • Recommender systems, reinforcement learning

Preferred background

  • Background in Healthcare AI.
  • Portfolio of AI/ML publications, patents, or awards.
  • Experience with DevOps and CI/CD tools and practices such as Git, Jenkins, Docker, Kubernetes, etc.

Location and work conditions

  • Hybrid environment: Cranberry, PA office.
  • Ability to travel 10-15% of the time.
  • Western Pennsylvania, Pittsburgh Area, US East Coast.

Key focus areas include AI/ML strategy, model development and deployment, generative AI enablement, and collaboration across engineering and business functions.

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