Senior Data Scientist

Profile

Texas, United States of America

Job Family Group:

Research and Development

Worker Type:

Regular

Posting Start Date:

May 4, 2022

Business unit:

Projects and Technology

Experience Level:

Experienced Professionals

Job Description:

Introduction

The Senior data scientist will join the newly created Data Science and ML Capability Center (DSML CC) within the Information, Data and Analytics (IDA) team/IT Digital Engineering VPship. The CCship is responsible for delivering Machine Learning and Data science solutions to all Shell Businesses – UP, IG, Downstream, C&P, RES.

The Senior Data scientist will be responsible for initiating, development and deployment of large scale data science solutions/products in an agile fashion to the Shell businesses. They will also be accountable for adhering to Shell quality standards for producing digital solutions.

The position is with the Subsurface and Wells team in DSML CC, which focuses on digital solutions for the exploration, subsurface and wells management and development.

Responsibilities


Accountable for delivery of data science products in a production scale environment.
Managing the product lifecycle especially relating to data science, development to support.
Transformation of proof of concepts into a larger deployable product in Shell. Rinse and repeat, cross-pollinate ideas across projects and assets.
Partnering with P&T research teams, to convert proof of concepts into scalable data products.
Value estimation and realization, end-to-end value mapping for assets thru data science solutions.
Supervision and contribution to project work to build machine learning models and digital solutions, providing the technical assurance on end-2-end delivery of data science solutions for the Shell businesses, in particular the machine learning component.
Adhering to the principles of delivering quality through the MCDS digital quality initiative by conducting regular health checks, audits, code reviews to ensure that clean and maintainable production-level code is being produced by project teams.
Evaluation and benchmarking of all new asset related initiatives prior to developing solutions.
Keeping abreast of new engineering practices, technologies and continuously improving our Agile practices and building and strengthening relationships and alliances in academia, IDT and industry.


Required Skills and Experience


Master’s degree in any of the following: mathematics, statistics, econometrics, machine learning, or relevant subsurface disciplines, e.g. petrophysics, geology, reservoir engineering, etc.
Active experience in at least one of the subsurface disciplines, e.g. geophysics, petrophysics, geology, reservoir engineering, etc.
At least five-year experience in developing end-to-end models using machine learning for predictive modelling in a business/industry environment, i.e. feature engineering, model creation and evaluation.
Experience in developing, deploying, supporting models in production.
Proven ability to write clean, elegant and maintainable production-level code in Python and R, and experience in version control, testing, refactoring.
Experienced coder in data science languages such as R and Python (Pandas, Scikit Learn, etc.).
Firm grasp and demonstratable experience on the principles of the model development lifecycle and producing machine learning models that stand up to statistical rigor.
Good knowledge and understanding of Shell.ai, GIT, Azure, CI/CD pipelines.
Experience in Agile working methodology.
Coaching capability for more junior team members.
Strong communication skills, especially explaining technical concepts to business stakeholders.
Extensive experience working in small, empowered, delivery focused, cross-functional and collaborating teams.
Experience of working in a virtual team and with virtual stakeholders.


Have experience in at least one out of the following:


Probabilistic Modelling (e.g. General Linear Models, Stochastic Processes, Bayesian Networks, Hidden Markov Models, Hierarchical Modelling, Time Series Modelling, etc.);
Algorithms and optimization (e.g. linear programming, multi-objective optimization, meta-heuristics, etc.);
Knowledge of Bayesian Statistics and Bayesian/Probabilistic modelling.


Desired Skills and Experience


Knowledgeable in at least one of the following topics: Computer Vision, Deep Learning, NLP and reinforcement learning.
Experience working with one of the big cloud environments (e.g. AWS, Azure, GCP, etc.).
Independent analytical thinker - ability to challenge established thinking to stimulate creativity.
Experience in identifying and performing initial scoping of data science opportunities with the business.


This job profile contains generic information and does not describe individual positions or required job competencies. Grading decisions will also depend on other factors.

There is a preferred candidate identified for this position.

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DISCLAIMER:

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 participates in E-Verify. All qualified applicants will receive consideration for employment without regard to race, color, sex, national origin, age, religion, disability, sexual orientation, gender identity, protected veteran status, citizenship, genetic information or other protected status under federal, state or local laws. Shell is an Equal Opportunity Employer - Minorities/Females/Veterans/Disability. As a US Federal Contractor, hiring selections are subject to periodic audit review and documentation of your selections should be maintained for a period of three calendar years. It is the policy of Shell in the U.S. (“Shell”) to provide equal opportunity to all individuals, employees and all qualified applicants for employment consistent with employment requirements and qualifications. Shell prohibits discrimination based on race, color, sex, national origin, age, religion, disability, sexual orientation, gender identity, veteran status, citizenship, genetic information, or other protected status under federal, state or local laws. All employees are expected to support this policy and contribute to an environment of equal opportunity. If you need an accommodation for a disability during the resourcing process, please speak with an HR representative.

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