Location
Trivandrum | India
Job description
Role - Lead Data Scientist (Profile-1 : Natural Language Processing)
Overall 4 - 8 yrs. of relevant experience in Data Science/ Machine Learning space
- Education: PhD/Master/Bachelors quantitative discipline (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics, Industrial Engineering) or equivalent practical experience.
- Must have delivered multiple data science product(s) in production. Preferred the product in the automotive space.
- Have to be fully hands-on
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: Lead Data Scientist in Aftersales and Quality department 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: - Job location:- Thiruvananthapuram
- Overall years of experience: - 8-10 yrs. of experience in Statistical and Machine learning models.
- Proficient in Python/R frameworks 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
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, 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 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 AWS exposure, 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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