Decision Scientist

Roles

Decision Scientist

Advanced Analytics

Job Family

AU$140K

Salary

Average salary in Australia

22%

Job Growth

Open Roles

Job openings on Alooba Jobs

Decision Scientists use advanced analytics to influence business strategies and operations. They focus on statistical analysis, operations research, econometrics, and machine learning to create models that guide decision-making. Their role involves close collaboration with various business units, requiring a blend of technical expertise and business acumen. Decision Scientists are key in transforming data into actionable insights for business growth and efficiency.

What are the responsibilities & duties of a Decision Scientist?

Develop and analyze models to quantify credit loss.
Create predictive models for various business scenarios including financial, operational, and customer engagement.
Apply traditional statistical techniques and mathematical concepts to business problems.
Build large, efficient datasets for Decision Science applications, optimizing for speed and automation.
Perform data mining and trend analysis to develop segmentation strategies.
Partner with marketing and other teams to support data-driven decision making.
Produce data visualizations to communicate findings to internal stakeholders.
Research and develop decision science models, providing consultancy to business units.
Manage complex data processing and system validation tasks.
Build and maintain advanced decision science algorithms and tools.
Act as a peer leader and guide junior colleagues in technical methodologies.
Contribute to analytics innovation and integration within the organization.

What are the required skills & experiences of a Decision Scientist?

2+ years of experience in a quantitative field such as Data Science or Decision Science.
Bachelor's degree in a relevant technical field or equivalent practical experience.
Proficiency in statistical modeling and data analysis (e.g., regression, time series).
Experience using Python or R for statistical modeling.
Strong SQL skills for data querying and manipulation.
Excellent analytical, problem-solving, and communication skills.
Ability to work independently and collaborate with cross-functional teams.
Knowledge in various analytical fields such as Bayesian statistics, optimization, econometrics, and machine learning.
Familiarity with software development and cloud computing tools.
Strong business acumen and ability to translate data insights into actionable business strategies.

Discover how Alooba can help identify the best Decision Scientists for your team

Common Decision Scientist Required Skills

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