ML Engineer II

Nissan is a pioneer in Innovation and Technology. With a focus on Mobility, Operational Excellence, Value to our Customers and Electrification of vehicles, you can expect to be part of a very exciting journey here at Nissan.Nissan is going after a massive Digital Transformation backed by leading technologies across the organization globally. We are committed to building a diverse, entrepreneurial organization, and our current team is a strong evidence of that. Our people are what drive the business forward. At Nissan Digital, you will be part of a dynamic team with ample opportunities to grow and make a difference.Overall 2-4 yrs. of relevant experience in Data Science / Machine Learning space, with focus on web app based development and deployment. Role will be an amalgamation of Software engineering and Data Science development as part of core Data Science.·

Education:

PhD/Master/Bachelors

quantitative discipline

(e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics, Industrial Engineering)

or equivalent practical experience.· Must have strong knowledge of

Python for Data Science

/ ML and productionization.· Prior experience in hands-on Full stack development (Front End development with

React

, API development) will be advantageous.· Have to be fully hands-on.About Data Science Centre of Excellence team:The Data Scientist will be part of Nissan Digital (fully owned subsidiary of Nissan Motors) as

Data Science CoE

who works with teams across the globe. They will be managing / coordinating with the team that identifies and develops

advanced analytics statistical models, machine learning methods

and solutions for Nissan Motors – Global Business Functions to improve various business outcome indicators.Objectives of the team is to:· Successfully develop, conceptualize and test Various Data Science approaches to business problems· Integrates the outcomes as real time analytics to elevate the Nissan Digital’s ability to create value for business functions in areas and through means not immediately apparent to business functions.Role description:Data Scientist

in Data Science CoE follow multiple approaches for project execution. He/she is expected to drive a business problem right frominteracting with business, data collection, building a concept application to demonstrate the advantages of the new methodology with explanations. Upon successful demonstration he/she brings in original ideas, collaborate and work with team and 3rd parties for speed of delivery to solve and deploy the solution globally.They also leverage the vast global network of Nissan Motors to collaborate with Nissan Digital – Data Engineering CoE, Software CoE, CI/CD team and other functions for creating and deploying solutions.Requirements:· Overall years of experience: - 2-4yrs. of experience in Statistical and Machine learning models.·

Proficient in Python/R frameworks

for machine learning.·

Proficient in front-end development

with React for productization of machine learning.:Proficient in Data Visualisation in python / R or using BI Tools such as TableauProficient in Statistical modelling techniques and Machine Learning Algorithms·

Should understand CI/CD processes

in product deployment and used it in delivery.· Should haveunderstanding of Dockerization, REST APIs· Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model. Thorough understanding of React.js and its core principles.· Experience with data structure libraries (e.g., Immutable.js). Knowledge of isomorphic React is a plus.· Experience in various statistical and machine learning models, data mining, unstructured data analytics in corporate or academic research environments· Proven background in at least one of the following - Reliability models, Markov Models, Stochastic models, Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, Non-parametric Methods, Multivariate StatisticsAbility to translate domain problems to data science problem· Ability to think creatively to solve real world business problems· Ability to work in a global collaborative team environment· Proficient verbal and written communication skills in EnglishPreferred SkillsetsApplied experience in Operations Research, Statistical Modelling, Optimization with OR Tools or equivalent, PyTorch, Deep Learning, H2O.ai, Tensor Flow 2.0, Scikit Learn, Python, R, Julia, Numba, Cython, Spark. DjangoNote

: Please clearly mention the projects where you contributed, the technologies used and the contributions to the project. Please separate out hobby projects and ML/NLP coursesto a different section.Drive your career forward and join the company leading the technology and business evolution in the automotive industry.Trivandrum Kerala India

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