- Understanding business problems and designing end-to-end analytics use cases.
- Developing complex models and algorithms that drive innovation throughout the organization. This may include improving on-time performance, network planning, etc.,
- Conducting advanced statistical analysis to provide actionable insights, identify trends, and measure performance.
- Collaborating with model developers to implement and deploy scalable solutions
- Collaborating with product software teams to ensure model functionality using cloud solutions and monitoring the quality and effectiveness of the models in operations.
- Providing thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders
- Experience in driving digital maturity of Data Science engines built in cloud native environment (AWS preferred) where they have been able to drive MLOps and software engineering practice for the engine’s code to work with native built applications.
- Deep knowledge of machine learning, predictive, statistics, optimization or related field as evident through a tertiary higher education degree (masters or PHD) and\or 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.
- Experience Proficiency in R, Python, C#, Dockers, Spark, Git concepts.
- 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 formulating communities to drive success and capability uplifts.
- Ability to communicate technical contents to non-technical audience.
- Flexible work, regular work from home, choose your hours. Family friendly.
- Work engagement can be designed to suit your lifestyle, study or family needs. Want to work 4 days a week or take all school holidays off? Talk to us!
- We will consider relocation for interstate candidates – Come enjoy the clean beaches, endless sunshine, less traffic and more open space.
- Work with a team who values and follows agile and devops principles and practices.
- Short release cycles and just in time planning – our goal is to deploy to production every sprint.
- Build cloud native engines and applications in AWS.
Company
Location
Sidney - Australia
Job type
Full-Time
Python Job Details
About BHP
At BHP 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.
Come and be a part of this success.
About the Role
As a Principal Data Scientist, you will be part of technical leadership team 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) to unlock BMA’s digital potentials by embracing agile principles and team agility
At Principal level, we are looking for an experienced data scientist can drive a maturity vision on productionising delivery of cloud based data science work aligned to software engineering best practices. This role would be critical in bringing together a cohort of Data Scientists in the Digital Factory for driving maturity as well as capability uplift.
The key differentiator between a Specialist and Principal is the degree to which the individual is self-governed, prior experience in the role, ability to drive maturity in MLOps and software engineering best practices related to data science work, along with mentoring and coaching abilities.
A Data Scientist’s responsibility is to 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. The Data Scientist is accountable for the quality of the models and their overall outputs as part of the broader digital solution development team.
When working on an initiative a Data Scientist will be able to:
About You
What we offer
Lifestyle
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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.
To ensure the safety and wellbeing of our people, BHP requires employees in Australia to be fully vaccinated against Covid-19 in line with BHP’s Covid Policy and any relevant State health directives. If you are applying for a role at BHP please consider this requirement when submitting your application. BHP will also adhere to any relevant health directives that may be made that affects our workforce.
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 a 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.
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