Senior Data Scientist

Location: Perth WA

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Date: 01-Jun-2021

Location: Perth, AU

Company: Woodside Energy Ltd

About Woodside

At Woodside we aspire to have digitisation embedded in everything we do. When you join Digital at Woodside you will work with teams pioneering new technologies and the application of cloud, data science, artificial intelligence and cognitive computing.

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 to 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.
Our global headquarters are based in Perth and our state-of-the-art campus reflects the quality of life Perth is known for - with a six Green Star rating, advanced wellness features and flexibility in how you work.
About the Role:

As Woodside embarks on a significant operational transformation, we are growing our Digital function to support, drive and shape our technologies and ways of working. We are shifting our data culture and looking to delve deeper and promote curiosity within Data Science. We are looking for a Senior Data Scientist with an inquisitive nature, that will question results and seek to understand the ‘why’.

Outcomes of this role will have significant impact on operations and help determine reliability of our tools and equipment. As senior Data Scientist, you will grow data analysis and data management capabilities and integrity competencies across the Digital function and the wider organisation.

With an opportunity to transform and enable a data culture, we are looking for a Senior Data Science with deep experience in data platforms and leadership experience in data architecture across IT, Corporate and OT data and application source systems to lead the transition to a data centric organisation. This role will also see you contribute to business & technical focus forums as a senior member of the team and to Woodside data science body of knowledge in addition to providing technical development, coaching & mentorship to junior team members & graduates.
Duties & Responsibilities:

  • Partner with the business to identify opportunities to apply data science techniques to deliver value.
  • 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.
  • 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.
  • Develop and improve data science processes and best practices within Data Science team to solve business problems.
  • Foster a data driven problem-solving culture within Woodside.

Skills & Experience:

  • Qualifications in Mathematics, Physics or related quantitative discipline.
  • Good communication and interpersonal skills with the ability and enthusiasm to work with business partners, product owners & software engineers.
  • Extensive practical work experience in data science with an aptitude for coding.
  • A strong mathematical background with a curious and inquisitive mindset
  • Commercial experience with a focus on business problem understanding, hypothesis formation, feature engineering & predictive modelling
  • Demonstrated experience in programming languages for data analysis (e.g. Python, R, Bash, SQL)
  • Experience within Deep Learning, Data Structures and Algorithms, and confidence in mentoring & guiding teams.

Recognition & Reward:

We know great results come from our people feeling valued, getting the support they need to reach their full potential as well as bring their whole self to work. We also recognise that enduring, meaningful relationships with communities are fundamental to maintaining our licence to operate.

As a Woodsider, you will enjoy:
  • The opportunity to work on world-class operating assets renowned for their safety, reliability and efficiency
  • A commitment to your ongoing development, including on-the-job opportunities, formal programs and assistance with further education
  • Values in action
  • Industry-leading 16 weeks’ paid parental leave for primary carer; plus secondary carer leave
  • Active employee community groups for gender equality, reconciliation between Indigenous and non-Indigenous Australians, and LGBTI+ staff and allies
  • Community volunteering opportunities
  • A competitive remuneration package, featuring performance-based incentives, above-industry superannuation contributions and a generous health insurance allowance.

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 carer 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. We encourage applications from Aboriginal and Torres Strait Islander people and those seeking a more flexible working environment, including part-time opportunities

Applications close at 11:59pm AWST on 15/06/2021

*** Mention DataYoshi when applying ***

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