Senior Data Scientist
BHP
About BHP
At BHP Technology we support our people to grow, learn, develop their skills and reach their potential.
With a global portfolio of operations, we offer a diverse and inclusive environment with extraordinary career opportunities. Our strategy is to focus on creating a safe work environment where our employees feel strongly connected to our values and objectives, and where the capability of our people is key to our success.
To enable the rapid deployment of digital solutions we have established Digital Factories across our Perth and Brisbane offices. Think of us as a “startup within a company” made up of multi-disciplinary, non-hierarchical teams with one focus: delivering digital solutions that improve the productivity of our mining operations across the global.
We work fast and solve tough problems with agility, and pride ourselves on our culture of open collaboration, safety, diversity of thought and fun.
Lean and Agile ways of working are core to the success of our digital delivery strategy, and we are looking to grow our teams. Come and be a part of this success.
About the Role
As a Data / Machine Learning Scientist, you will play a key role supporting Digital Factory projects that fundamentally change BHP’s performance across safety, productivity and people performance. The Digital Factory is BHP’s approach to rapid design and development of digital products (software-focused, minimal or no hardware) that provide machine learning and model-based solutions to operational challenges that are currently being addressed through manual methods.
At principal level, we are looking for an experienced data scientist, or someone looking to make a step-up from a senior level role. The hiring manager is also considering candidates with less experience, but with an excellent attitude to learn and grow as an engineer.
The work:
The Data Scientist will be critical in the successful development and implementation of machine learning- and model-based digital solutions and products, as model-based decision making is at the heart of the Digital Factory solutions.
The Data Scientist’s primary responsibility is apply strong expertise in machine-learning, data mining, and information retrieval to design, prototype, and build the next-generation analytics engines and services that solve the Asset’s operational challenges.
About You
The successful candidate will have:
- Deep knowledge of machine learning, statistics, optimization or related field as evident through a tertiary higher education degree and several years of industry experience
- Experience working with large data sets, simulation/ optimization and distributed computing tools
- Experience in working with large datasets, relational databases (SQL), and distributed systems (Hadoop, Hive)
- Experience Proficiency in R, Python, C#; additional knowledge of other statistical software (SPSS, RapidMiner, etc.) is helpful
- Advanced knowledge of statistical techniques, data mining, machine learning (regression, decision trees, clustering, random forests, generalized linear models, etc.)
- Excellent scientific computing skills, including creativity in the design and development of efficient algorithms.
- Experience or interest in working in a team environment, with ability to manage competing deadlines.
- Evidence of well-developed written and verbal communications skills. Ability to communicate technical contents to non-technical audience.
- Attitude to thrive in a fun, fast-paced start-up like environment
About our Process
At BHP, we are committed to employing individuals who align with the BHP Charter Values and meet the requirements of the role. As part of the recruitment process, there are a number of checks which may be conducted to demonstrate applicants suitability for a role including police / criminal background checks, medical, drug and alcohol testing, due diligence checks, right to work checks, and/or reference checks.
BHP also requires employees in Australia to be fully vaccinated against Covid-19 to ensure the safety and wellbeing of our people (from the 31st of January 2022 or earlier depending on relevant state health directives). If you are applying for a role at BHP please consider this new requirement when submitting your application. BHP will also adhere to any relevant health directives that may be made that affects our workforce. For further information please see our website (LINK)
Supporting a Diverse Workforce
The size and magnitude of our business not only provides significant opportunity for professional development, but also attractive salary packages with performance-based bonuses and unique BHP employee share program.
At BHP, we recognise that we are strengthened by diversity. We are committed to providing a work environment in which everyone is included, treated fairly and with respect. We are an Equal Opportunity employer and we encourage applications from women and Indigenous people. We know there are many aspects of our employees' lives that are important, and work is only one of these, so we offer benefits to enable your work to fit with your life. These benefits include flexible working options, a generous paid parental leave policy, other extended leave entitlements and parent rooms.
BHP is an Equal Opportunity Employer - Minorities/Females/Veterans/Disability.