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Lead Data Science

Date Posted: Oct 6, 2021

Location: Capital Federal, AR

Company: MetLife

We are looking for a Full Stack Data Scientist, for our Data Science Regional Team al Latam
Job Responsibilities
Lead and manage model development & deployment for a business/ functional unit
Responsible for end to end solution design, contextualization and execution of the analytics use cases
Support the development of integrated data science-driven solutions
Provide oversight, troubleshooting, and support to programmers as they develop the solutions
Work with various development, QA and Test environment teams for the overall integration strategy
Educate, and mentor the team members on open source tools, capabilities, and best practices and provide inputs for career development
Commit to continuous improvement and learning both personally and in support of team members
Assist in establishing coding standards and best practices and perform code reviews and drive MetLife's programming standards
Manage project stakeholders in Business & Engagement Units

Education

Bachelor's degree or higher, preferred in Business, Engineering, Economics or related fields

 

Desired Experience

8+ years of experience in relevant field

 

Knowledge and skills (general and technical)

Required:

1) Hands-on knowledge of the Python, PySpark, Big Data technologies Hadoop, Hive etc.

2) Extensive experience in BFSI modeling and/or model testing

3) Advanced analytics concepts and algorithms including text mining, social listening, recommender systems, predictive modeling etc.

4) Domain knowledge/expertise in insurance is preferred though not mandatory

5) Experience of managing/leading teams, ideally in model development

6) Proven project management skills, experience in AGILE methodology and taking end-to-end responsibility regarding quality and deadlines as well as timely escalation of issues

Preferred Knowledge and Skills:

1) Experience with detailed level of data analysis using technical tools; Alteryx, Qlik, Power BI etc.

2) Experience in one or more cloud framework such as GCP, Azure PAAS, AWS etc.

3) Capable of building, articulating, and presenting new ideas to technical, non-technical, and business communities

4) Possess creativity and innovation skills, demonstrate the ability compare and analyze different tools and technologies, and make appropriate recommendations.

5) Highly detail-oriented

6)  Excellent written and verbal communication skills

 

Language

English
 

Other Requirements (licenses, certifications, specialized training – if required)

10 – 15 % travel may be required