About the job
Role Data Scientist (Profile-1 : Applied ML)
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 6-8 yrs. of relevant experience in Data Science/ Machine Learning space
PhD/Master/Bachelors quantitative discipline (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics, Industrial Engineering) or equivalent practical experience.
Must have delivered one or more data science product(s) in production.
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 Digitals ability to create value for business functions in areas and through means not immediately apparent to business functions.
Data Scientist in Data Science CoE follow multiple approaches for project execution. He/she will be part of a team solving a set of business problems, developing concept applications. The candidate is expected to bring in original ideas, collaborate and work with software engineering and dev-ops team for development and deployment of the solution.
Job location:- Thiruvananthapuram
Overall years of experience: -6-8 years of experience in Statistical and Machine learning models.
Proficient in Python/R for machine learning.
Proficient in Data Visualization in python / R or using BI Tools such as Tableau
Proficient in Statistical modelling techniques and Machine Learning Algorithms
Knowledge of AWS ecosystem (Lambda, Batch, Glue, RDS) would be a plus
Proficiency in Optimization techniques with open source tools is a plus
Should understand CI/CD processes in product deployment and used it in delivery. Should have understanding of Dockerization, REST APIs
Working knowledge on following agile practices in product development is a plus
Experience in various statistical and machine learning models, data mining, and unstructured data analytics in corporate or academic research environments
Proven background in at least one of the following Multivariate time series forecasting, Reliability models, Markov Models, Stochastic models, Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, Non-parametric Methods, Multivariate Statistics
Ability to translate domain problems to data science problem
Ability to learn new technologies continuously and go to implementation
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 English
Applied 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. Django
Note: 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 courses to 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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