Job Id: 20200822002
Job Role: Data Scientist
Experience: 3-5 years
Job Location: Bangalore
Salary: Best in Industry
Vacancies: Not Mentioned
Job Description Shell Careers Recruitment 2020 Job Openings in Bangalore Hiring For Data Scientist in August 2020:
We’re keen to speak to applicants with a Master’s or PhD degree in computational linguistics, statistics, mathematics, natural sciences, computer science, and other engineering disciplines. Along with your strong experience in the delivery of analytics solutions within a corporate or academic environment, we’d also hope to see as many of the following on your CV:
3-5 years of Data Science related work experience is preferable
Expertise in Natural Language Processing, computational lingustics
Strong foundation in applied mathematics – linear algebra, optimization, probability theory.
Experience of developing advanced analytics algorithms/models.
Hands-on experience in code development (R, Python, MATLAB).
Preferably expertise Deep Learning, Bayesian Learning
Strong interpersonal, communication, facilitation and presentation skills
What’s the role?
Key to your success in this role, will be your analytical expertise, at finding and interpreting rich data sources, managing large amounts of data, merging data sources, ensuring consistency of datasets, and finally, skillfully presenting and communicating the data insights and results.
As Data Scientist, you’ll be working closely with various Shell businesses. You will apply natural language processing, statistical models, optimization and machine learning algorithms to problems in subsurface and wells, asset management, customer centricity and commercial insights. Your Natural Language Processing (NLP) based solutions and models will help Shell’s businesses make better decisions and facilitate the latest digital developments in the energy industry.
Your main challenge will be to develop analytical solutions have an impact on businesses performance and innovation. This includes preparing requirements and technical feasibility of advanced analytics projects and designing, testing, and deploying algorithms and methods.
Alongside your technical expertise, you’ll also be calling on your natural people skills, nurturing mutual trust with business stakeholders ranging from exploration and production up to customer facing businesses within a diverse and international work environment. Effectively translating business needs into data solutions and presenting analytical results back into business language.