Data Scientist
Wabtec
Bengaluru, KA, IND
4d ago

Wabtec Corporation is a leading global provider of equipment, systems, digital solutions and value-added services for freight and transit rail.

Drawing on nearly four centuries of collective experience across Wabtec, GE Transportation and Faiveley Transport, the company has unmatched digital expertise, technological innovation, and world-class manufacturing and services, enabling the digital-rail-and-transit ecosystems.

Wabtec is focused on performance that drives progress, creating transportation solutions that move and improve the world.

Wabtec has approximately 27,000 employees in facilities throughout the world. Visit the company’s new website at : http : / / www.

WabtecCorp.com. It’s not just about your career or your job title it’s about who you are and the impact you are going to make on the world.

Do you want to go into uncharted waters do things that haven’t been done to make yours and someone else's life better? Wabtec has been doing that for decades and we will continue to do so! Through our people, leadership development, services, technology and scale, Wabtec delivers better outcomes for global customers by speaking the language of industry.

Role Summary / Purpose : The Analytics engineer will be responsible for establishing data-driven, model-based and hybrid approaches to implement effective analytical algorithms for the EdgeLINC Platform.

About the Product : EdgeLINC™ represents the future of edge-to-cloud connectivity for transportation industry. It is a comprehensive edge device lifecycle management platform providing IIoT connectivity, data flow management, device management and streaming analytics at the edge and the back office driving significant improvements in asset performance & operational efficiency.

More details can be found here. Essential Responsibilities : Take ownership of module delivery under the guidance of Tech lead / Architect.

Collaborate well with the team members. Develop unit, Integration & System test cases / Scripts. Work closely with required teams to ensure business functionality is delivered on time.

Skilled in writing code that meets standards and delivers desired functionality using the technology selected for the project.

Skilled in core data structures and algorithms and implements them using language of choice. Flexible and Quick learner.

Be an excellent problem solver. Understand working of equipment under field usage conditions. Evaluate available data sources, clean-up and analysis on large data sets.

Develop analytics-based algorithms for predicting component health or failures. Develop and maintain a working knowledge of diesel locomotives and its subsystems to ensure data integrity and design relevant solutions.

Pre-processing of existing datasets. Research, develop and implement end to end Machine Learning and timeseries analytics solutions for batch and streaming applications.

Draw inferences and conclusions, identify trends & anomalies from available data (and create dashboards and visualizations of processed data - optional) Translate analytical insights into actionable recommendations.

Qualifications / Requirements : Master’s in Engineering in ECE / Computer Science / EEE / IT or in STEM Majors (Science, Technology, Engineering and Math).

Expertise in data modeling tools / programming languages like Python. Analytical problem-solving techniques. Trained on machine learning & statistical modeling tools.

Strong oral / written communication and interpersonal skills. Technical Expertise : Strong knowledge of Object-Oriented Analysis and Design, Software Design Patterns and coding principles.

Minimum of 2 years of experience in developing python services, rules. Minimum of 1 years of experience working in any one of the cloud environments (AWS, Azure, GCP).

Experience with NoSQL Databases (Cassandra, Elasticsearch, DynamoDB) and Relational DBs (Postgres). Linux OS + shell, shell scripting and automation experience is desired.

Experience with RMQ, Kafka, MQTT would be desired. Hands on experience in implementation of ML (supervised and unsupervised classification, regression, clustering, neural networks, etc.

and timeseries concepts and algorithms (ARIMA, Holts-Winter, etc.). Experience in working with streaming data. Desired Characteristics : Should have strong knowledge in programming using Python.

Possess good understanding of software testing process. Personal Attributes : Strong oral and written communication skills.

Strong interpersonal and influencing skills. Effective team building and problem-solving abilities. Demonstrate the ability to quickly understand and learn new concepts, in analytics and other supporting technologies.

Wabtec Corporation is committed to taking on the world’s toughest challenges. In order to fulfill that commitment we rely on a culture of leadership, diversity and inclusiveness.

We aim to employ the world’s brightest minds to help us create a limitless source of ideas and opportunities. We believe in hiring talented people of varied backgrounds, experiences and styles people like you! Wabtec Corporation is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or protected Veteran status.

If you have a disability or special need that requires accommodation, please let us know.

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