Execute statistical and mathematical analyses to support business decision-making
Support artificial intelligence/machine learning (AI/ML) in a deployed production environment
Proactively work with cross-functional teams to seek and understand the business/domain context of potential problems that may be solved using ML
Present data science solutions to stakeholders in an iterative fashion
Work with Associate Data Scientists and Data Scientists in converting a business problem into an ML problem
Independently manage multiple data science model development/projects
Collaborate and engage with various cross-functional stakeholders
Provide full ownership of the model development from inception to implementation
Mentor the Associate Data Scientists and Data Scientists in data science knowledge
Coordinate with the ML team, anticipating deployment issues upfront
Create and maintain documentation of the ML models, data sources, and methodology.

Master’s degree in data science/mathematics/CS/statistics or similar field and 3+ years of experience OR Bachelor's degree and 6+ years of experience in data science
Effective written, verbal, and interpersonal communication skills
An expert-level understanding of Classification, Regression, Clustering, Dimensionality reduction, Association rule learning, Bagging (e.g., Random Forests), Boosting (e.g., AdaBoost, Gradient Boosting), Neural Networks and Deep Learning, Model Evaluation and Metrics, Cross-validation, Hyperparameter Tuning, Optimization Algorithms, NLP and more
Working knowledge of Agile/SCRUM methodologies with 1-2 years of experience
At least 1+ years of working with a major cloud platform
Working knowledge in handling large datasets in a cloud environment
Working knowledge of how APIs work, CI/CD (Continuous Integration/Continuous Deployment)
Understanding of DevOps and MLOps principles
1+ years of writing production-grade code in scripting languages including Bash, Python, and SQL
Proven, independent ability to navigate a data lake environment
Effective skills in creating, deploying, and troubleshooting containers in the context of ML modeling
1+ years of experience with version control systems/concepts, such as Git.

Senior Data Scientist, Specialist

Key skills