Data Science Manager
1 month ago
Description
:Data Scientist in Data Science CoE follow multiple approaches for project execution. He/she is expected to drive a business problem right from interacting 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: 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
Preferred Skillsets
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.
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