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Machine learning engineer position

Sydney
beBeeDataScientist
Posted: 31 July
Offer description

Job Title: Data Scientist

We are seeking a skilled Data Scientist to join our team. As a Data Scientist, you will be responsible for designing and developing machine learning models that drive business growth.

Key Responsibilities:

* Predictive Modelling and Forecasting: Develop and refine time series models to power accurate forecasting and outcome comparisons.
* Optimisation Frameworks: Build and scale optimisation frameworks that solve complex, constraint-based problems to support customer decision making.
* Backend API & Database Development: Design and maintain scalable backend systems. Build APIs and database layers using frameworks like FastAPI and SQLAlchemy.
* Cloud Infrastructure & Orchestration: Architect event-driven systems using technologies like Cloud Run, Pub/Sub, and BigQuery.

Required Skills and Qualifications:

* Software Engineer: Experience building production systems and taking POCs to production. Skilled in building APIs, CI/CD, testing, and deployment automation.
* Machine Learning & Data-Driven Applications: A solid grasp of the machine learning lifecycle, strong Python skills, and hands-on experience with tools like scikit-learn, pandas, PyTorch, and TensorFlow.
* Pragmatic Craftsmanship: Passionate about building high-quality, reliable, and well-tested software that has meaningful impact on the business.
* Curiosity: Eager to learn, take on new challenges, and interested in expanding technical expertise and impact.
* Product Mindset: Understand and help drive bigger picture—business goals and user needs.
* Proactive Problem-Solver: Identify root causes and improve the system to prevent future issues.

Benefits:

* Direct Customer Impact: Work directly impacts customer experience and marketing decision making.
* Technical Challenges: Work on cutting-edge ML infrastructure problems at scale.
* Autonomy: Lead initiatives from design through implementation with minimal oversight.
* Growth: Opportunity to shape ML engineering practices across the organisation.
* Team: Collaborate with experienced data scientists and engineers who are driven by impact and committed to doing great work.
* ESOP: All staff receive equity.
* Parental Leave: 12 weeks paid leave to primary caregiver and 6 weeks to secondary caregiver after 2 years in business.
* Annual Leave: Receive 20 days base annual leave +5 days after the first year, and +1 for each year after that up to 30 days total.
* Work from Anywhere: Eligible to work 6 weeks anywhere in the world a year.

Why Choose Us?

1. We offer a dynamic and supportive work environment that fosters growth and development.
2. We prioritize work-life balance and provide generous parental leave policies.
3. We invest in our employees' career growth and provide opportunities for professional development.

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