Senior Data Scientist: Lead Data-Driven Solutions

Digiscale; City of Melbourne; On-site; AUD 120,000 - 170,000; Full time

Job summary

Digiscale in Melbourne is seeking a Senior Data Scientist to apply advanced analytics, ML, and statistical modeling to inform product decisions. You will design predictive models, analyze large datasets, and translate findings into actionable insights for stakeholders.

You will mentor junior data scientists, collaborate with product managers and engineers, and stay ahead of new techniques to optimize data-driven strategies across projects.

Qualifications

• Proven experience as a Data Scientist with a strong portfolio.
• Proficient in Python or R and data manipulation libraries.
• Strong knowledge of ML algorithms and frameworks.
• Experience with data visualization tools.
• Familiarity with big data technologies is a plus.
• Excellent problem solving and communication skills.
• Degree in a quantitative field; advanced degrees preferred.

Responsibilities

• Develop and implement predictive models and algorithms to solve complex business problems.
• Analyze large datasets to identify trends, patterns, and optimization opportunities.
• Collaborate with product managers, engineers, and other stakeholders to define data requirements and deliver insights.
• Conduct exploratory data analysis and communicate findings to non-technical audiences.
• Mentor and guide junior data scientists and analysts, fostering learning and innovation.
• Stay updated with the latest data science/machine learning techniques and apply them to enhance processes.
• Design experiments and A/B tests to validate hypotheses and improve features.
• Ensure data quality and integrity through best practices in data management.

Skills

Data science

Python/R

ML algorithms

Data visualization

Big data

Communication

Education

Quantitative degree

Tools

Pandas

NumPy

TensorFlow

Scikit-learn

Tableau

Power BI

Hadoop

Spark

Job description

Digiscale in Melbourne is seeking a Senior Data Scientist to apply advanced analytics, ML, and statistical modeling to inform product decisions. You will design predictive models, analyze large datasets, and translate findings into actionable insights for stakeholders.

You will mentor junior data scientists, collaborate with product managers and engineers, and stay ahead of new techniques to optimize data-driven strategies across projects.