Senior Data Scientist

About Woodside Energy

We know great results come from our people feeling valued, getting the support they need to reach their full potential as well as bringing their whole self to work. We also recognize that enduring, meaningful relationships with communities are fundamental to maintaining our license to operate. Technology and innovation are essential to our long-term sustainability. We are growing our carbon and new energy businesses using technology to reduce emissions and the carbon footprint of our products. We are working towards improving energy efficiency, offset emissions, reduce emissions intensity and explore options for lower-carbon energy. Woodside led the development of the LNG industry in Australia and is applying this same pioneering spirit to solving future energy challenges.

About the Role

Located in our Houston office, the successful applicant for this role will be a Technical leader of small to medium projects (up to $500k budget, $10M in value) requiring substantial data science expertise, collaborating with business stakeholders, business and technical SMEs. You will be responsible for fit-for-purpose data science methodology of owned projects and able to review projects delivered by other teams or third-party partners. You will also operate as an independent data science technical SME, overseeing technical integrity and quality of deliverables by junior team members. 

Key responsibilities include: 

• Partner with the business to identify opportunities to apply data science techniques to deliver value across the value chain

• Collaborate with domain experts to review datasets, similar problems, and technical material to understand and define problem

• Develop problem in data science terms, appreciating and investigating assumptions underlying analysis, and assessing requirements and technical feasibility of project

• Handle, clean and interpret data sets, assessing data relevance and integrity and conforming to ethical and security standards

• Evaluate and apply data science concepts and techniques (e.g. predictive modelling, statistical inference) to problems in oil and gas exploration and production domains

• Collaborate with SMEs on analysis and modelling processes to solve challenging and high-impact problems in oil and gas exploration and production domains

• Determine and communicate the limitations of analysis and modelling methods and their effects on the conclusions

• Communicate findings of statistical or technical analysis through reports, presentations and translate results back into business language

• Communicate arguments/issues to others clearly and accurately, in appropriate written and verbal form, to address specific questions and deliver value

• Manage successful implementation of solutions, ensuring training and knowledge transfer to stakeholders

• Manage data-driven project from end-to-end (i.e. problem identification to delivery)

• Develop and improve data science processes and best practices within Data Science team to solve business problems

Skills & Experience

To be successful in this role, you will be an enthusiastic data science practitioner, passionate about building and improving internet-scale products informed by data. You will possess:

• Degree having a strong mathematical core body of knowledge and Demonstrated expert experience in programming languages for data analysis (e.g. Python, R, Bash, SQL) 

• 5+ years extensive practical work experience in data science

• Experience across the full end-to-end process of data science delivery

• Experience with interacting with business stakeholders

• Experience with software engineering best practices (e.g. CI/CD, code repository, reproducible research, etc.)

• Experience in oil and gas industry and/or the resources sector

• Strong interpersonal and influencing skills

• Professional, organised approach clearly demonstrated in use of planning and documentation

• Ability to collaborate with subject matter experts across the oil and gas value chain

• Ability to rapidly learn and evaluate technical information to synthesise meaningful conclusions and recommendations

Recognition & Reward

• Commitment to your ongoing development, including on-the-job opportunities, formal programs and assistance with further education.

• Values in action culture

• Active employee community groups

• A competitive remuneration package.

Woodside is committed to fostering an inclusive and diverse workforce culture, which is supported by our Compass values. Our aim is to attract, develop and retain a truly diverse and high-performing workforce. 

We encourage diversity of age, nationality, ethnicity, religious beliefs, sexual orientation, gender identity or expression, physical ability, cultural background, thinking styles, experience, family background, including career commitments and education. Inclusion centres on all employees creating a climate of trust and belonging, where people feel comfortable to bring their whole self to work. We offer supportive pathways for all employees to grow and develop leadership skills.

Applications close Friday, 31st May 2024