Data Scientist Jobs

Where you fit in

We play an important role by developing, deploying, and operating Information and Digital Technologies which enable Shell to produce more and cleaner energy for the world.

Shell’s Information and Digital Technologies organisation applies technical, commercial, and emerging digital technologies skills to help Shell industrial assets competitively optimise energy production while reducing emissions intensity. We partner with our business to replicate technologies across our business portfolios.

What’s the role?

As a full stack data scientist, you will get to apply your knowledge in statistics, time series analysis, and dynamical systems, work with the latest machine learning models, and build predictive models for energy consumption, energy generation, and energy price, and make an impact by helping Energy Marketing business in Shell Energy to make better, safer, more sustainable decisions which yields to cleaner and more sustainable world.

You will work with a team of data engineers and scientists who use data and apply cutting statistical machine learning models to build forecasting models for different energy markets. The entire Data team works collaboratively and is a strong partner for teams across the company. You will get to meet and learn from diverse and talented colleagues.

Accountabilities

• Evaluate the performance and compare the results with existing models
• Deploy the best model and document the result of this research
• Analyze energy time series and summarize the statistical properties of energy signals
• Build predictive models and forecast signals for day-ahead and real-time markets

What we need from you?

• Deep learning (CNN, RNN, LSTM) and framework library (e.g., Keras, TensorFlow, PyTorch) and Graph Neural Networks
• Proficiency developing end-to-end machine learning training and inference pipelines at scale to be able to forecast hundreds of thousands of meters daily over a variable day horizon under both recursive and direct modelling approaches
• Hyperparameter tuning of machine learning models
• Bachelor’s Degree is preferred
• Minimum of three (3) years’ experience of deploying machine learning models and frameworks in production
• Standard concepts and technologies used in CI/CD build and deployment pipelines.
• Experience in distributed and parallel computing frameworks such as Spark/Pyspark/Multiprocessing/Multithreading
• Proficiency with Python or R, SQL and familiarity with working in big data environments
• End to end machine learning lifecycle experience including feature engineering, model building, model versioning, evaluation and hypothesis testing.
• Must have legal authorization to work in the US on a full-time basis for anyone other than current employer
• Deployment of AWS Sagemaker models and pipelines and serverless architecture
• Working knowledge of the power and renewable energy markets
• Minimum of three (3) years’ experience with Cloud computing platforms such as AWS, Azure (preferably AWS)
• Time Series Analysis (ARIMA, SARIMAX, MA)
• Familiar with python packages such as Pandas, SkLearn, Numpy etc
• Minimum of five (5) years’ experience with:
• Containerization and orchestration technologies such as Docker and Kubernetes.
• Experiences in both Supervised and Unsupervised machine learning models (Regressions, Gradient Boosted methods, SVMs, Random Forests, Clustering)

Company Description

Shell is a global group of energy and petrochemicals companies with over 90,000 employees in more than 70 countries and territories. In the US, we have operated for over a century and are a major oil and gas producer onshore and in the Gulf of Mexico, a recognized innovator in exploration and production technology, and a leading manufacturer and marketer of fuels, natural gas and petrochemicals. We deliver energy responsibly; operate safely with respect to our neighbours and work to minimize our environmental impact. We are in search of remarkable people who will thrive in a diverse and inclusive work environment to deliver exciting projects locally and globally. People who are passionate about exploring new frontiers. Innovators and pioneers. People with the drive to help shape our future. Because remarkable people achieve remarkable things.

An innovative place to work

There’s never been a more exciting time to work at Shell. Everyone here is helping solve one of the biggest challenges facing the world today: bringing the benefits of energy to everyone on the planet, whilst managing the risks of climate change.

Join us and you’ll add your talent and imagination to a business with the power to shape the future – whether by investing in renewables, exploring new ways to store energy or developing technology that helps the world to use energy more efficiently.

An inclusive place to work

To power progress together, we need to attract and develop the brightest minds and make sure every voice is heard. Here are just some of the ways we’re nurturing an inclusive environment – one where you can express your ideas, extend your skills and reach your potentials.

• We consider ourselves a flexible employer and want to support you finding the right balance. We encourage you to discuss this with us in your application
• We’re closing the gender gap – whether that’s through action on equal pay or by enabling more women to reach senior roles in engineering and technology.
• We’re striving to be a pioneer of an inclusive and diverse workplace, promoting equality for employees regardless of sexual orientation or gender identity.\
• We’re creating a space where people with disabilities can excel through transparent recruitment process, workplace adjustments and ongoing support in their roles. Feel free to let us know about your circumstances when you apply, and we’ll take it from there

A rewarding place to work

Combine our creative, collaborative environment and global operations with an impressive range of benefits and joining Shell becomes an inspired career choice.

We’re huge advocates for career development. We’ll encourage you to try new roles and experience new settings. By pushing people to reach their potential, we frequently help them find skills they never knew they had, or make career moves they never thought possible.