Define and drive the technical roadmap for data science and ML initiatives across the organization
Architect and build end-to-end ML systems, from problem framing and data strategy through model development, deployment, and monitoring at scale
Design and build advanced supervised, unsupervised, and deep learning models, including NLP and computer vision solutions, to solve high-impact business problems
Develop AI agentic applications and LLM-powered solutions to automate workflows and unlock new capabilities
Perform feature engineering, data validation, and quality assurance across large, complex datasets
Partner with data engineering, ML platform, and software engineering teams to productionize models and ensure scalability, reliability, and monitoring
Translate ambiguous, cross-functional business challenges into well-scoped technical strategies and communicate findings to executive and non-technical stakeholders
Mentor and elevate staff and senior data scientists, and establish best practices, standards, and technical direction across the data science team

8+ years of experience building and deploying production machine learning systems, including supervised, unsupervised, and deep learning approaches
Advanced proficiency in Python and SQL, with deep experience in ML libraries such as scikit-learn, PyTorch or TensorFlow, pandas, and NumPy
Strong hands-on experience in Natural Language Processing (NLP) and computer vision applications
Hands-on experience building AI agentic applications using LangChain, LangGraph, or similar frameworks, including integration with LLMs and external tools/APIs
Hands-on experience with the full ML lifecycle: feature engineering, model training, hyperparameter tuning, evaluation, deployment, and monitoring
Strong foundation in statistics and core ML algorithms (gradient boosting, neural networks, clustering, dimensionality reduction)
Experience architecting ML solutions on large-scale datasets using distributed computing frameworks (Spark, Dask) and cloud platforms (AWS, Azure, or GCP)
Demonstrated ability to set technical direction, influence cross-functional roadmaps, and communicate complex technical strategies to executive stakeholders
Track record of mentoring senior data scientists and raising the technical bar across a data science organization

Senior Staff Software Engineer – Data Science

Key skills