Clinical Data Manager supporting research projects and managing patient databases at Mass General Brigham. Interact with patients and maintain data integrity in clinical research.
About the role
- Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data-driven solutions for better customer experiences.
Responsibilities
- Partner with product managers, engineers and other stakeholders to understand business problems and identify opportunities for machine learning applications to optimize item lifecycle performance.
- Perform exploratory data analysis and statistical modelling to extract actionable insights from large and complex datasets
- Build and maintain robust data pipelines to process, clean and transform data from diverse sources ( e.g. SQL datasets, APIs, flat files)
- Design, develop and implement scalable and production-ready machine learning models / optimization algorithms for areas such as demand forecasting, assortment, and pricing optimization.
- Implement robust evaluation and monitoring to validate the performance and reliability of machine learning models
- Communicate complex findings, insights and trade-offs to technical and non-technical stakeholders
Requirements
- Bachelor's, Master's, or PhD in Statistics, Data Science, Computer Science, Engineering, Operations Research, or a related technical field; or Equivalent related professional experience.
- Minimum 1 years hands-on experience in Data Science or Machine Learning roles
- Minimum 1 years of professional SQL experience, performing advanced queries and optimization techniques
- Proficient coding skills in Python, with experience writing clean, maintainable, and optimized ML code
- Experience applying statistical and machine learning algorithms, such as regression, decision trees, clustering, neural networks, survival analysis, along with model evaluation techniques
- A passion for solving complex problems with creative approaches.
- Strong communication and collaboration skills, with the ability to work both independently and as part of a team
Benefits
- Medical/Vision, Dental, Retirement and Paid Time Away
- Life Insurance and Disability
- Merchandise Discount and EAP Resources
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