Requirements :

Fluent in English with strong written and verbal communication skills
Proven experience in data science, machine learning, or advanced analytics
Strong proficiency in Python or R for data analysis and modeling
Experience with data manipulation libraries (e.g., pandas, NumPy)
Solid understanding of statistics, probability, and hypothesis testing
Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
Experience with SQL and working with large datasets
Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI)
Understanding of feature engineering, model evaluation, and validation techniques
Experience with cloud data platforms is a plus (AWS, Azure, or Google Cloud)
Strong problem-solving and analytical thinking skills
Ability to translate business problems into data-driven solutions
Good storytelling skills with data and visualizations
Experience working in Agile or cross-functional teams preferred
Reliable internet connection and remote work readiness

Responsibilities :

Analyze large and complex datasets to extract actionable insights
Design, build, and deploy machine learning models
Perform data cleaning, preprocessing, and feature engineering
Develop experiments and statistical analyses to support decision-making
Create dashboards and visualizations for stakeholders
Collaborate with product, engineering, and business teams
Communicate findings clearly to technical and non-technical audiences
Monitor model performance and retrain when necessary
Document methodologies, assumptions, and results
Support data pipeline improvements and automation initiatives
Identify new opportunities for data-driven optimization
Ensure data quality, integrity, and best practices
Meet project deadlines and deliver measurable business impact

Salary : N/A

Company : Intch AU

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