Live opening · Posted 6 days ago
At a glance
The key details from the original listing.
Your early-applicant advantage
Live timing from JobBeeper.
About the role
Description supplied by the original job listing.
We are looking for a Data Scientist to design and develop data-driven solutions that address complex business challenges and support informed decision-making. The role combines statistical analysis, machine learning, programming and business understanding to transform data into meaningful insights and scalable analytical solutions.
Key Responsibilities
Analyze complex datasets to identify patterns, trends and actionable insights
Design, develop and evaluate statistical and machine learning models.
Perform data exploration, cleaning, wrangling, normalization and feature engineering
Develop predictive and analytical solutions that address business requirements
Work with Python and SQL/PostgreSQL to manipulate, analyze and model data. These technologies also appear in the recent internal Data Scientist profile
Create reports, visualizations and dashboards to communicate analytical findings effectively
Collaborate with business stakeholders, data engineers and other technical teams to translate business challenges into data science solutions
Present findings and recommendations clearly to both technical and non-technical stakeholders
Contribute to the automation and improvement of analytics processes and solutions
Ensure appropriate quality, reliability and documentation of analytical work
Required Skills & Experience
Hands-on experience in data science, advanced analytics or statistical modeling
Strong programming skills in Python
Strong knowledge of SQL/PostgreSQL and experience working with structured datasets
Good understanding of statistics, probability and machine learning techniques
Experience with data analysis, data wrangling, data modeling and data visualization
Experience developing and evaluating predictive or machine learning models
Familiarity with common Python data science and machine learning libraries
Experience with visualization tools such as Power BI, Tableau or Qlik is valuable and is also reflected in the internal profile
Strong analytical and problem-solving abilities
Ability to communicate complex technical concepts clearly and translate analytical findings into business recommendations. This combination of technical capability and business communication is also consistently reflected in current external Data Scientist role profiles
Good English communication skills
Nice to Have
Experience working with cloud-based data platforms.
Experience with large-scale datasets and data processing technologies.
Knowledge of Generative AI, LLMs or NLP, depending on the project scope.
Experience taking analytical or machine learning solutions beyond experimentation into production environments.
Familiarity with Git and collaborative development practices.
Join us for a fulfilling career and a balanced lifestyle that celebrates diversity and promotes inclusivity.
The position is available exclusively for collaboration under an individual working contract (CIM).
Work arrangement
Yes
More openings worth a look
Recently tracked roles with full details and direct application links.