Sr Data Scientist (remote)
Core
Sr Data Scientist executing statistical and mathematical analyses to support business decision-making and AI/ML in a deployed production environment.
Role type
Senior IC machine learning engineer (production)
Builds
Production ML models and pipelines for business stakeholders
Domain
Food industry + machine learning
Deliverable
production ML models
Required skills
Classification, Regression, Clustering, Dimensionality reduction, Association rule learning, Bagging, Boosting, Neural Networks, Deep Learning, Model Evaluation, Cross-validation, Hyperparameter Tuning, Optimization Algorithms, NLP, Python, SQL, Bash, Git, Cloud platforms, MLOps, DevOps, CI/CD, Containerization, Data Lake navigation, Feature stores
Preferred skills
LLM/Generative AI models, Agile/SCRUM methodologies, Leadership in data science best practices
Technologies
Python, SQL, Bash, Git, Cloud platforms, ML frameworks, Containerization tools
Responsibilities
Research data sources, data cleansing, feature engineering, and creating baseline models; Independently manage multiple data science model development/projects; Collaborate with cross-functional stakeholders to ensure coordination between data science and business; Provide full ownership of model development from inception to implementation including pipeline, documentation, model drift, and remodeling strategy; Mentor Associate Data Scientists and Data Scientists; Coordinate with ML team for deployment success and retraining; Troubleshoot, debug, and improve code within extensive codebase; Create and maintain documentation of ML models, data sources, and methodology; Participate in R&D and implement process improvements; Share knowledge through internal presentations and workshops; Guide usage of development methodologies like Scrum and Kanban.
Seniority
Senior, hands-on IC with mentorship responsibilities