Data Scientist (Japanese Speaking) Job in Sydney Apply Today

Job Description

The Opportunity:

Job Title: Data Scientist – Machine Learning Engineer (Pharma | APAC Remote | Japanese Required)
Location: Remote (APAC region)
Industry: Pharmaceutical / Healthcare
Type: Quarterly Fixed Term Contract - Ongoing
Language Requirements: Native Japanese & Professional English



About the Role:

We’re seeking a skilled Data Scientist with a strong Machine Learning Engineering focus to join an innovative lead generation project within the pharmaceutical sector. You’ll be responsible for designing, developing, and deploying predictive and forecasting ML models that power intelligent sales and marketing strategies.

You’ll collaborate with cross-functional teams across APAC and Japan, using your expertise in data science, engineering, and domain understanding to unlock new business opportunities.


Key Responsibilities:

- Build and deploy robust ML models for lead scoring, customer segmentation, and sales forecasting
- Conduct end-to-end model development – from feature engineering to deployment and monitoring
- Collaborate with business stakeholders to understand requirements and translate them into data-driven solutions
- Optimise large-scale data pipelines using Apache Spark
- Write clean, efficient, and production-ready code using Python (Pandas, NumPy, Scikit-learn, etc.)
- Communicate findings and model insights clearly in both Japanese and English
- Ensure data quality, governance, and compliance standards are met, especially in a regulated industry like pharma



Required Skills & Experience:

- Fluency in Japanese (Native) and Professional English – both verbal and written
- Proven experience as a Data Scientist / ML Engineer, ideally in pharma or life sciences
- Expertise in building models for predictive analytics, forecasting, classification, and regression
- Strong hands-on experience with Python and core data libraries (e.g., Pandas, NumPy, Scikit-learn, XGBoost)
- Solid understanding of Spark for processing large-scale datasets
- Familiarity with MLOps practices and tools is a plus (e.g., MLflow, Airflow, Docker)
- Experience working in cross-cultural, remote teams across the APAC region



Nice to Have:

- Knowledge of CRM systems or marketing automation tools
- Experience with cloud platforms (AWS/GCP/Azure)
- Prior exposure to pharmaceutical commercial data sets



What's On Offer:

- Remote flexibility across the APAC region
- Opportunity to work on a high-impact, high-visibility project in the pharmaceutical industry
- Cross-functional collaboration with global teams
- A supportive and innovative environment where your ideas are valued
- Competitive, Pro Rata Package between $15-25k USD per quarter - Australian equivalent of up to $130,000 package per annum


If you meet the above requirements, please apply today and Siena will be in touch to discuss!