Senior Data Scientist specializing in deep learning for computer vision at Zesty.ai. Collaborating on PropertyTech and InsurTech solutions using data science and machine learning.
About the role
- Senior Data Scientist developing analytics and modeling capabilities to support Lime's City and Vehicle Tech initiatives. Collaborating with cross-functional teams to enhance product experiences and drive decision-making.
Responsibilities
- Lead the development, validation, productionization, and iteration of machine learning models that support city and vehicle tech initiatives, including feature engineering, model selection, performance tuning, and integration into product and enforcement systems
- Define and establish model and product performance metrics, building clear evaluation frameworks to assess live performance and guide data-driven decision-making
- Own and contribute to the development of analytical data pipelines and instrumentation required to support modeling, experimentation, and reliable reporting
- Design, lead, and support experimentation efforts, including product initiatives and pilot programs, to measure impact, validate performance, and deliver insights that inform broader product and business strategy
- Manage complex, cross-functional initiatives from scoping through executive communication
- Make business recommendations using effective presentation skills, conveying findings at multiple levels including executive leadership, managers, and peers
Requirements
- Bachelor’s degree in a quantitative field (e.g. engineering, sciences, math, statistics, computer science, or related discipline); advanced degree preferred
- 5+ years of experience in data science or machine learning roles
- Strong proficiency in Python and SQL
- Demonstrated experience building, validating, and iterating on machine learning models in production environments
- Experience designing experiments and applying statistical methods to evaluate model and product performance
- Ability to independently drive ambiguous, high-impact initiatives
- Strong communication skills and the ability to translate complex modeling concepts into clear business recommendations
Benefits
- Offers Equity
- Offers Bonus
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Geodata Scientist at ALS analyzing geoscience data and applying machine learning for mineral exploration. Collaborating with multidisciplinary teams on predictive modelling and consulting projects.
Senior Data Scientist leading advanced analytics and machine learning solutions within insurance practice. Bridging business objectives and data science execution while ensuring delivery quality.
Senior Data & Trust Partner at TELUS enhancing data governance and AI capabilities. Collaborating with leadership to implement trust strategies and improve organizational design.
Senior Data Scientist leveraging data analytics to drive business value at Sun Life. Collaborating with teams to develop ML products and enhance data - driven decision - making.
Program Manager overseeing master data initiatives at Stanley Black & Decker. Responsible for project execution and stakeholder collaboration to enhance data management processes.
Lead predictive analytics initiatives at the University of Alberta to improve enrolment planning. Focus on advanced data modeling through machine learning and statistical approaches.
AI Engineering Lead responsible for infrastructure and development of AI agents in product analytics. Managing tools, standards, and governance for a team supporting 60+ products.
Data Team Lead coordinating data engineering and reporting capabilities for mining industry projects. Guiding a team while ensuring timely delivery aligned with project priorities in a hybrid work environment.
Senior AI Data Scientist leading complex analytical and predictive AI workstreams at Valtech. Collaborating with teams to deliver actionable insights for high - value business problems.