Data Scientist - Auto

Data Scientist Sr

Key Objectives

The LATAM Data Science team is looking for a Data Scientist. The candidate will bring knowledge and expertise in Advanced Analytics to Chubb. Position can be based in CDMX or Monterrey.

Major Duties and Responsibilities

• Lead the creation of advanced analytics solutions to help us driver profitability and growth by optimizing resources and pricing. 
• Provide training guidance and assistance to colleagues.
• Guide a team of data scientist during the development of projects and initiatives to guarantee the accomplishment of deadlines and results.
• Own the end-to-end development of the data science products: from data engineering, data exploration, modeling, and model deployment.
• Develop company A/B testing frameworks and test model quality.
• Understand and combine data from various sources to create analytics data sets. 
• Introduce new methodologies, algorithms, tools, and technologies to solve problems.
• Collaborate with multiple teams (e.g., Applied AI, Claims, Underwriting, IT) to achieve objectives.
• Become a trusted partner for the stakeholders in topics related to data and analytics (i.e., translating data insights into business decisions/actions).
• Communicate and present findings or data science projects/achievements to non-technical audiences.
• Support ad-hoc business requests which require statistical analysis.

Desired Qualifications

• Bachelor’s degree, preferably in Statistics, Mathematics, Analytics, Engineering or Computer Science.  An advanced degree in Statistics or Predictive Analytics is strongly preferred.
• 5+ years of advanced analytics experience.
• Experience with programming and statistical packages (Python, R).
• Experience in data management (SQL).
• Management experience with data science teams.
• Knowledge of advanced analytics techniques.
• Good stakeholder management and ability to explain technical problems and solutions to commercial and business-oriented areas.
• Experience designing data and model-serving architectures to fit business needs (DevOps/ML Ops).
• Good Problem-Solving skill is a must.
• Experience in designing and building data science products that influence the business decision-making process.