HomeData Science JobsWabtec | Hiring | Data Scientist | BigDataKB.com | 2022-09-10

Wabtec | Hiring | Data Scientist | BigDataKB.com | 2022-09-10

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Job Location: Bangalore

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 desired product, platform.
Essential Responsibilities:
  • Take ownership of model building, deployment under the guidance of Tech lead/Architect.
  • Develop unit, Integration & System test cases/Scripts.
  • 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.
  • Collaborate and work closely with required teams to ensure business functionality is delivered on time.
  • Demonstrate expert skills in core data structures and algorithms and implements them using language of choice.
  • Implementing code that meets standards and delivers desired functionality using the technology selected for the project.
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 such as Python, scala..,
  • Analytical problem-solving techniques.
  • Trained and hands-on on machine learning & statistical modeling tools.
  • Strong oral / written communication and interpersonal skills.
Technical Expertise:
  • 3+ Programming Knowledge in Python, C++
  • 2+ years hands-on experience with ML Algorithms, Deep learning Algorithms, Transfer Learning, OpenCV.
  • 2+ experience in image analytics methods like classification, Object detection & image segmentation and Image Analytics algorithms (Like Yolo, RCNN).
  • Working experience with databases and management SQL..,
  • Knowledge of statistical techniques and probability.
  • Knowledge of MVA scoping, development, testing, integration, and deployment
  • Working knowledge on data pipeline – Image acquisition & tagging, MVA, Aggregation & translation, and Data visualization
  • Performance monitoring for deployed ML algorithms.
  • Experience working in any one of the cloud environments (AWS, Azure, GCP) and data processing.
Desired Characteristics:
  • Draw inferences and conclusions, identify trends & anomalies from available data (and create dashboards and visualizations of processed data – optional)
  • Good understanding of software testing process.
  • Research, develop and implement end to end Machine Learning and timeseries analytics solutions for batch and streaming applications.
  • Knowledge of diesel locomotives and its subsystems to ensure data integrity and design relevant solutions.
  • Hybrid AI techniques
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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