Sr Data Scientist
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.