Senior Data Scientist

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

We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic team. In this role, you will leverage your expertise in data analysis, machine learning, and statistical modeling to drive data-driven decision-making across various projects. You will be responsible for designing and implementing advanced analytical solutions, collaborating with cross-functional teams to understand business needs, and translating complex data into actionable insights.

Key Responsibilities:

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

Qualifications:

• Proven experience as a Data Scientist, with a strong portfolio of projects showcasing your analytical skills.
• Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy).
• Strong understanding of machine learning algorithms and frameworks (e.g., TensorFlow, Scikit-learn).
• Experience with data visualization tools (e.g., Tableau, Power BI) to present findings effectively.
• Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus.
• Excellent problem solving skills and the ability to work in a fast-paced environment.
• Strong communication skills, with the ability to convey complex technical concepts to diverse audiences.
• A degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline; advanced degrees are preferred.