Senior Process Data Engineer Job Vacancy in Shell Chennai, Tamil Nadu – Updated today

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Location : Chennai, Tamil Nadu
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Job Description : The Role
The new SEAM organization integrates Safety, Environment & Asset Management activities, with a broad geographical footprint, that will support Shell’s business & assets around the world.
The vision of SEAM is to provide capability across the spectrum of Safety, Environment and Asset Management with:
shaping the future ways of working through introducing to the business new technology and news way of working, including e.g. digital, SBO, and real-time, data-driven, end-to-end optimization and risk management, but also global programs like Human Performance Based Safety Philosophy.
providing performance feedback driving disciplined execution to deliver reliable, predictable results
helping the businesses build their improvement plans and provide support to execute them
sustaining performance through strong core capabilities (internal, including SBO & contingent) through building expertise and a company-wide consistent approach
The purpose of the role is to support the Businesses (UP/DS/IGNE/PT/GF) to deliver Shell’s Goal Zero (No Harm & No Leaks) ambition, by providing accurate and quality assured safety performance data.It is also about driving a cultural change around reporting by empowering the business to understand what lies behind the data, and by supporting their own team to become trusted business partners who can hold up the mirror and challenge.
The incumbent will be expected to play a key role in driving change to optimize the reporting systems and processes and providing the performance data and insights required to support the Goal Zero journey.
The R&A Engineer(Data Analytics) will be part of the VP TAO organization
The VP TAO will be accountable for maximizing integrated business value across the organization. Technical Asset Operations (TAO) is a key enabler for the accelerated delivery of Shell’s Asset Management System and will help us to reach our ultimate potential in Downstream Manufacturing, Integrated Gas and Upstream. TAO provides high quality and cost-competitive technical resources who are not physically present at site yet are an integral part of asset teams delivering value through end-to-end AMS work processes.
Purpose & Accountabilities
The R&A Engineer will be responsible to develop models in all data and analytics areas across business
Acquire data from primary or secondary data sources and maintain databases/data systems
Research, design, implement and evaluate algorithms to provide solutions for business problems.
Identify, analyze, and interpret trends or patterns in complex data sets
Interpret data, analyze results using statistical techniques and provide ongoing reports
Development and maintenance of a “live” dashboards that is web accessible to provide insight into current performance and trending.
Interpret data, analyze results using statistical techniques and provide ongoing reports
Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
Acquire data from primary or secondary data sources and maintain databases/data systems
Identify, analyze, and interpret trends or patterns in complex data sets
Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
Work with management to prioritize business and information needs
Locate and define new process improvement opportunities
Stay current with mandatory training
Working with multiple stakeholders, tools, and workflows
Analyzing and providing most reliable data on time for various review process
Demystify the process complexity and identify simplification opportunities
Bachelor/Master degree in machine learning or equivalent
5+ years of relevant experience in building production-scale system/algorithm in Machine learning/deep learning.
The incumbent must be able to work across multiple organizations and teams to deliver.
Enterprise first and standardization/simplification mindset
Ability to engage and effectively communicate at all levels inside Shell and within different cultural settings.
Ability to work under pressure to meet deadlines with a crowded and often changing business agenda
Assist the managers to standardize processes, tools, methods, procedures as directed (Ex: Improving the data quality standards and best practices).
Willing to learn new tools like Celonis /Spotfire/ R-tool SQL coding etc. for data analysis
Coding skills in one or more programming languages such as Python, Scala, Java, C, C+
Strong modelling experience working with deep learning frameworks like Pytorch or MxNet.
Current hands-on experience with state-of-the-art object detection approaches (e.g. Faster RCNN, YOLO, CenterNet etc.)
Understanding of deep learning CV evaluation metrics including mAP, F_beta, PR curves, etc
Hands-on experience on Power-Bi, Power-App & Power-Automate experience is an added advantage
Knowledge of statistics and experience using statistical packages for analyzing datasets (hypothesis testing, aggregations, regression, correlations, inferences, clustering, segmentation, factor analysis)
Experience working on NLP, NLU
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Technical expertise regarding data models, database design development, data mining and segmentation techniques (statistical modelling, algorithms like Linear Regression, Logistic Regression, Naïve Bayes, Multivariate Regression, Decision Tree, Time-Series, Common Clustering, Random Forest, Support Vector Machine, SVD, PCA, KNN, Gradient Boosting etc)
Experience in Learning algorithms like feed forward, CNN, RNN, LSTMs.
Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (SAS, Python, Pandas, NumPy, SciPy, Scikit learn, NLTK, SQL, TA (technical analysis)
Strong Microsoft Office skills including PowerPoint, Excel, Word
High level of accuracy in work product, attention to detail

Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Royal Dutch/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell is an Equal Opportunity Employer.

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