Data Science - Reliability Specialist

Job Description

Take the next step in your career at ABB, working in a team that is writing the digital future with ABB Ability . The ABB Ability Genix Industrial Analytics and AI Suite has been designed to unlock the value of data by combining ABBs deep industrial domain expertise with digital technology and capability to deliver a modular and scalable solution. The solution helps asset-intensive industries with complex processes make timely and accurate insight-driven decisions and respond rapidly to achieve high degree of optimization and control across the entire value chain leveraging Industry 4.0 principles. ABB is a leading global technology company that energizes the transformation of society and industry to achieve a more productive, sustainable future. With a history of excellence stretching back more than 130 years, ABB has been a pioneer through the four Industrial revolutions and is at the forefront of the Industry 4.0. By delivering digitalization to its electrification, robotics, automation and motion portfolio, ABB pushes the boundaries of technology to drive performance to new levels. This is a Data Science - Reliability Specialist role, reporting to the Head of Solution & Value Engineering in business area Industrial Automation (IA) located in Bangalore. You will be working at Ability Innovation Center (AIC), home to the largest technology and engineering pool in ABB globally and is a part of ABB Global Industries and Services Private Limited, a subsidiary of ABB. It is based in Bangalore, the silicon-valley of India. Its unique infrastructure places research, development, engineering, and service teams under one roof, increasing collaboration and reducing time to market, with no compromise on quality.If you are looking for an environment that actively blends the boundaries between technology, data, domain and Industrial AI to create next generation analytics solutions for processes automation customers and helping them on their journey towards autonomous operations, then this is the team for you. Join ABB and harness the power of our diverse global network, as you collaborate with and learn from our world-class teams. Above all, challenge yourself every day. Let s write the future, together.Your responsibilities

• Conceptualizing and developing prescriptive analytic algorithms for rotating machinery and industrial equipment based on operation and engineering data.
• Conceptualizing and developing asset lifting algorithms for industrial equipment based on reliability techniques.
• Implementing algorithms to quantify system level risk of a machine, unplanned risk, risk of scrapping of part, risk of unwanted repair of part using historical data base of operation and maintenance data.
• Solutioning reliability algorithms and their output visualizations by packaging them as industrial business value apps.
• Working closely with customers and Business Units (BUs) to architect and develop customer centric solutions tailored to their requirements.
• Practicing agile development of digital solution Proof of Concepts to effectively articulate the customer value proposition.
• Providing industry specific domain insights for rich proposal responses by articulating customer value proposition.
• Living ABB s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business.

• PhD / M. Tech. / MS in either Chemical or Mechanical or Electrical or Reliability Engineering from a reputed institution.
• Required 10+ years of overall work experience in using standard reliability analytic tools like Weibull++, Accelerated Life Testing Analysis (ALTA), Reliability Growth Analysis (RGA), MINITAB & MS Excel.
• Strong experience in reliability domain in any industry like petrochemicals, manufacturing, utilities etc.
• Should be familiar with inspection and maintenance programs of industrial equipment e.g. multistage pumps and/or compressor, turbines, turbochargers, mechanical seals etc.
• Should have Exposure to reliability matrix and standards, condition-based maintenance, plant MoC, RCM techniques such as RCFA, FMECA, risk assessment and MTBF analysis of critical rotary equipment, planning of shutdowns/overhauls.
• Good to have experience in software applications like Maximo, Meridium, MS Office will be considered an added advantage.

Keyskills :
accelerated life testingcontinuous improvement facilitationms officedata sciencebusiness unitscustomer valuerisk assessmentcustomer centricmechanical sealsvalue engineeringagile development