Data Science Manager Senior overseeing analytics projects leveraging complex data for actionable insights at PNC. Leading teams to deliver data - driven business solutions.
About the role
- Data Scientist developing machine learning models that integrate into Authenticx's SaaS platform. Collaborating with engineers to build, train, and deploy models in a regulated environment.
Responsibilities
- Developing machine learning models using natural language process that will be integrated into automated processes.
- Working alongside experienced engineers to deliver production grade models into a SaaS platform.
- Building and training models, deploying model pipelines, and implementing algorithms to extract insights from unstructured data.
- Troubleshooting and providing technical solutions to resolve issues.
Requirements
- S. or further education in Mathematics, Economics, Computer Science, Statistics, or another quantitative field
- 2+ years of experience as a Data Scientist, Machine Learning Engineer, or relevant software engineering in AI.
- Strong knowledge of Natural Language Processing (NLP) or Audio Signal Processing
- Proficiency with Python (Pandas, NumPy, Matplotlib, Scikit-Learn, Spacy, SciPy, etc...)
- Experience with a deep learning framework (TensorFlow, Pytorch, etc..) and deep learning architectures (RNNs, CNNs, Transformers, etc...)
- Experience with fine-tuning transformers and relevant libraries (Transformers, Unsloth, vLLM, TRL)
- Deep understanding of statistical analysis, hypothesis testing, modern modeling techniques and mathematics skills (e.g., Linear Algebra, Calculus)
- Experience with SQL, databases, and other data management tools
- Ability to work independently and with team members from different backgrounds
- Effective communication and technical writing skills to translate complex analytical results and modeling efforts into business impacts and insights for executive leaders.
- Internal Motivation and Intellectual Curiosity to uncover the answers to unknowns
- Software-as-a-service (SaaS) and/or healthcare industry experience
- Familiarity with Cloud Technologies, Docker, and Kubernetes.
- Experience with tools for experiment tracking and model management.
- Experience with the full life cycle of model development. From data acquisition to training and deploying the model in a production environment.
- Experience with Agentic models and workflows is a plus.
Benefits
- This is a remote/virtual position.
- You must live in the United States of America.
- You must be authorized to work in the USA, now and in the future, WITHOUT requirement of sponsorship/visa.
- Occasional travel to Indianapolis may be required (approximately 2–4 times per year) based on business needs.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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