Data Scientist
Company Name:-
ALSTOM
Job Location:-
Bengaluru, Karnataka
Job Summary:-
Req ID:110961
We create smart innovations to meet the mobility challenges of today and tomorrow.
We design and manufacture a complete range of transportation systems, from high-speed trains to electric buses and driverless trains, as well as infrastructure, signalling and digital mobility solutions.
Joining us means joining a truly global community of more than 75 000 people dedicated to solving real-world mobility challenges and achieving international projects with sustainable local impact.
POSITION: DATA SCIENTIST
Alstom announces an opening for a Data Scientist at our Bangalore, India site.
This position supports the ADM Mobility Analytics program by developing, testing, validating, and industrializing Machine Learning (ML) algorithms for different data-driven applications in the Mobility domain.
The main goal of the ADM Mobility Analytics program is to develop ML software modules in order to improve customer performance and experience using existing and new data analytics, supported by advanced simulations and domain experts.
The main purpose of this position is to support senior data scientists and DevOps/MLOps engineers to develop zero-to-hero analytics applications (proof of concept to free-for-tender) in maintenance, operations, energy, and city flow domains and secure successful field trials with our customers.
In this capacity, you will be able to work on our next generation data-driven solutions for the Mobility industry, within a lean startup environment, in collaboration with engineering & mobility experts, data engineers, DevOps/software engineers, and HMI designers/storytellers.
Networks and links:
Internal
Mobility Analytics program, Engineering, Technical teams, R&D, Innovation teams
External:
Start-ups, data companies, other industrial companies, suppliers, academics, research institutes
Key accountabilities:
Develop approaches to mine, extract, and normalize various types of information from numerous disparate data sources, based on the customer requirements.
Develop industrial-grade ML/AI/analytics modules and tools designed to address business needs and solve complex problems.
This includes designing, coding, validating, testing, automating, and scaling ML/data science algorithms to m
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