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Staff Data Scientist

Staff Data Scientist

  • Location United States - Texas - Houston
  • Travel required Negligible travel
  • Job category IT&S Group
  • Relocation available No
  • Job type Professionals
  • Job code 125898BR
  • Experience level Senior
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Job summary

At bp, we’re reimagining energy for people and our planet. With operations working across almost every part of the energy system, we’re leading the way in reducing carbon emissions and developing more sustainable methods for solving the energy challenge.
We’re a diverse team of engineers, scientists, traders and business professionals determined to find answers to problems that must be solved. But we know we can’t do it alone. We’re looking for people who share our passion for reinvention to bring a new point of view, collaborative spirit, and to challenge our thinking in our ambition to achieve net zero!

The staff data scientist role exists to bring thought leadership in the area of Data science and Machine Learning.


Able to apply established statistical and/or ML methods; Have significant knowledge and are the go-to-person across bp in areas of time series forecasting & dimensionality reduction. Know how businesses interact and how to engineer them to work better. Apply in-depth statistical methods and data science algorithms to make decisions and prioritize opportunities to drive commercial excellence through data. Bring significant business impact on one or multiple critical metrics; you are often approached by the business for your thought leadership


  • Lead the BP Data Science team in order to provide better insights and improved business performance for the retail and pricing businesses
  • Act as the accountable person for the statistical methods used to enquire data sets, design of Machine Learning models & defining the end to end data lifecycle of a data science project from ideation to production
  • you advocate for data science best practices across Customers and Products; you review others work and ensure high quality and reproducibility standards are met; You author / provide guidance to authors of internal data science best practices
  • you drive an open data culture to minimize silo thinking. You mentor emerging talent and support team members to accurately assess their own capability and take ownership of their career within bp
  • You review the work of others for potential issues pertaining to digital trust and highlighting the need for further review by specialized reviewers if needed. Community SME on at least one method of model explainability.

  • Master’s degree in engineering disciplines with Specialization in Machine Learning or Data Science

  • Full stack AWS Machine Learning knowledge - You possess expert knowledge of AWS Sagemaker, Python/PySpark, Glue, Redshift, Power BI and ability to distribute payloads through AWS
  • Working knowledge for Machine Learning using time series forecasting models, using Deep Learning approaches like RNN, LSTMs
  • Exposure to either Fuels Pricing and/or Retail Industry concepts
  • AWS Sagemaker certification

  • PHD in computer science/Machine Learning


At bp, we support our people to learn and grow in a diverse and challenging environment. We believe that our team is strengthened by diversity. We are committed to fostering an inclusive environment in which everyone is respected and treated fairly.
There are many aspects of our employees’ lives that are important, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, and excellent retirement benefits, among others!
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation

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