Lead Data Science Platform Engineer

Toyota Motor Company
Toyota Motor Company

Job Overview

Who we areCollaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for diverse, talented team members who want to Dream. Do. Grow. with us.Who we’re looking forToyota Financial Services’ (TFS) Enterprise Platform Enablement Department is looking for a passionate and highly-motivated Lead Data Science Platform Engineer.This resource strategically designs and implements Data Science systems and solutions. The work includes selecting, gathering requirements, designing, and rolling out Machine Learning and Analytics solutions to end-users. We are looking for a practitioner/expert who has covered and implemented the full stack of Data Science technologies to develop innovative solutions or improvements that will result in enhancements to current methods, procedures, and processes, as well as direct, organize, and lead projects in the implementation and use of new BI software tools and systems. Will use subject matter expertise to assist with installation, configuration, and maintenance of new/existing infrastructure in cloud/on-prem.Reporting to the Data Science Digital Factory Owner, the person in this role will support the Enterprise Platform Enablement department’s objective to build and support MLOPS platforms for the enterprise. The responsibility of the factory includes algorithm optimization, operationalize data science models, build CI/CD/CT pipelines, deploy, and schedule data science API. The factory is also responsible for setting up security, defining best practices and standards, providing training, and enabling the adoption of Data Science practice across the enterprise. Our Factory offers technical consulting and advice to development teams across the organization that are either current or prospective to the users in the Data Science space.What you’ll be doing* Create and manage Data Science Platform that supports multiple data science experiments and prediction of insights in company-wide initiatives* Build and manage ML Ops platforms with Model Governance and Continuous Model Training Framework* Champion Data science initiatives around best practices, data quality, data integrity and enterprise compliance* Support large scale ML training and prediction API workloads in distributive and scalable environment* Create templates for containerization and cloud deployment using AWS, Docker, Kubernetes containerization or similarWhat you bring* Bachelor’s Degree (or higher) in Computer Science or equivalent professional work experience* Experience in Solution Architecture and Software Delivery using Python/Java/Scala working with Machine Learning and Distributive and scalable environment workloads* Development of open source code for training Models using Statistics and Machine Learning* Experience with performance tuning, architecture, and troubleshooting distributed systems* Experience in building Data Science platforms and providing cloud solutions using various Machine Learning stacks that includes AWS/Azure,H2O, Anaconda, Spark MLib, TensorFlow, etc. for large organizations* Experience in SQL/NoSQL database design for applications and familiar with Information Management / Data Governance* Experience with enterprise initiatives such as multi-tenancy, multi-branding, multi-device and multi-country (global) and localization for API implementation* Excellent verbal and written communication and interpersonal skills and the ability to interface with leadership in a team-oriented environmentAdded bonus if you have* Advanced degree in Computer Science, Applied Mathematics or Statistics* Strong financial systems background and experience with Data domain and/or Integration domain coupled with familiarity of various modern enterprise digital architecture frameworks and best practices* Auto finance industry experienceWhat we’ll bringDuring your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include:* A work environment built on teamwork, flexibility and respect* Professional growth and development programs to help advance your career, as well as tuition reimbursement* Vehicle purchase & lease programs* Comprehensive health care and wellness plans for your entire family* Flextime and virtual work options (if applicable)* Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute* Paid holidays and paid time off* Referral services related to prenatal services, adoption, child care, schools and more* Flexible spending accounts* Relocation assistance (if applicable)What you should knowOur success begins and ends with our people. We embrace diverse perspectives and value unique human experiences. We are proud to be an equal opportunity employer that celebrates the diversity of the communities where we live and do business. Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.Have a question or need assistance with your application? Check out the How to Apply section of our careers page on Toyota.comTo save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position at this time#LI-TMNA

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