22 feb
Chubb
México
Job Description:
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.
Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.