Senior Pricing Data Scientist optimizing pricing strategy at Sabadell Zurich. Leading GLM model development and collaborating with Product and Claims teams.
About the role
- Staff Data Scientist developing AI-driven solutions for women's health leveraging data and analytics. Collaborating with interdisciplinary teams to enhance radiologic procedures with advanced technologies.
Responsibilities
- Work with customers to capture data and analytics requirements
- Develop, verify, and validate analytics to address customer needs and opportunities
- Work alongside software developers and software engineers to translate algorithms into commercially viable products and services
- Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics
- Perform exploratory and targeted data analyses using descriptive statistics and other methods
- Work with data engineers on data quality assessment, data cleansing and data analytics
- Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes
- Communicate methods, findings, and hypotheses with stakeholders
Requirements
- Bachelor's Degree in Computer Science or 'STEM' Majors (Science, Technology, Engineering and Math)
- Master’s or PhD is advantageous
- Minimum of 6 years of professional experience in AI product development
- Demonstrated skill in data management methods
- Demonstrated skill in feature extraction and realtime analytics development and deployment
- Demonstrated skill in prescriptive analytics and analytic prototyping
- Proficiency in python and deep learning frameworks such as Tensorflow, PyTorch and openCV
- Strong background in AI image processing and computer vision algorithms, including training and fine-tuning image classification and segmentation models
- Experience with model optimization for latency and throughput in online systems
- Experience with large-scale CNNs, vision transformers, and self-supervised learning
- Experience with the full AI lifecycle, including data curation, model development, and model validation for production
- Proven ability to collaborate with ML engineers to integrate models into production
- Skilled in model validation for product readiness, with a strong focus on writing production-quality, maintainable code
- Experience in medical device development is considered a strong asset
- Demonstrated skill in defining and delivering customer value in these areas
- Demonstrated skill at working in a team setting
- Demonstrated skill in critical thinking and problem solving methods
- Demonstrated skill in presentation and influencing skills
- Undergraduate or graduate studies in biomedical engineering is highly desired
- Experience with multimodal data integration and systems combining images, video, and speech is highly desired
- Experience with cloud computing platform, such as AWS or Azure is highly desired
- Experience working with robotic simulation is desired
- Experience in medical imaging AI development is highly desired
- Background in robotics or automation technologies is advantageous
- Background in automated vehicle or robotic guidance is highly desired
Benefits
- No specific benefits mentioned
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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