Leading the use of Machine Learning/ Deep Learning.
High knowledge in Spark/pyspark.
Nice to have: Ensure the creation of graph features that add value to ML models.
Work autonomously on advanced, complex projects or business issues requiring a high expertise of technical or data knowledge, collaborating with the rest of the team.
Work with structured and unstructured data: sparse data, high dimensional data, large data containing complex transaction-based schemes, handle challenging merge requirements to assemble data, and apply appropriate cleansing techniques to make data suitable for advanced modeling exercises
Apply very sophisticated predictive modeling skills & solid insurance knowledge to design & develop outstanding analytic solutions for multiple business areas reflecting corporate goals, experience and current market conditions
Perform model validation to determine model lift and accuracy, test for reliability and stability of models, and use multiple measures to select final model, selecting the ones that can be conveyed to the stakeholders
Design complex processes and tools to monitor, analyze and maintain model performance
Provide guidance and training to less experienced staff as needed, and take a leading role in group, team or project
Provide expertise and leadership around adopting best in class processes and techniques for AA modeling and statistical analysis
Aid thedecision-making process of business areas by building actionable modeling results
Communicate project results presenting simple but scientific results outside AA, to senior leadership, showing alignment with the company strategy.
Use research and analysis to develop innovative and practical complex model solutions consistent with organizational objectives; ability to use independent judgment and initiative to anticipate needs
Conduct research around the design, implementation and validation of innovative algorithms in order to analyze diverse data sources that will enable desired business outcomes and allow new impactful use cases.
Be accountable for long term ownership and evolution of complex models developed and evolution of those
Lead, coordinate and obtain the economic impact results measurements with the business teams while developing and automating reports and dashboards.
Minimum Education/Experience:
Bachelor’s Degree* with 8 years experience or Master’s Degree with 3 years relevant experience
*Degree in Statistics, Mathematics, Data Science, Economics, Finance, Engineering or a related quantitative analytical field
Proficiency in Machine Learning, Python, Spark/pyspark and SQL.
Competent level in Bitbucket.
#INDEED123
At MAPFRE, the safety of our employees matters. We have taken vital steps across all offices from the improvements to our air ventilation, the installation of touch-free devices, to embracing social distancing and requiring medical self-screening to ensure the safety of our employees. We embrace the ability to collaborate with peers in-office, while also offering a flexible work arrangement for many roles in our organization.
If you require an accommodation for a disability so that you may participate in the selection process, you are encouraged to contact the MAPFRE Insurance Talent Acquisition team at (url removed).
We are proud to be an equal opportunity employer.
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