Data Scientist
Data Science is expanding into all areas at Lumi, and we are looking for a junior-to-mid level Data Scientist to help foster its growth. This role is uniquely suited to a practitioner who views data through a mathematical and statistical lens. This role will be the primary steward of Lumi’s current models - ensuring they remain theoretically sound and accurate - while supporting the development of new models and conducting deep-dive statistical analyses to derive actionable insights across the business.
The Role
- Model Stewardship: perform ongoing maintenance, updates, and performance monitoring of live models to detect performance degradation and statistical anomalies to ensure our models remain fit for purpose as market conditions evolve.
- Model Development: assist the Lead Data Scientist in the end-to-end development of new models, from feature engineering to data validation.
- Inference & Statistics: conduct robust statistical analyses (hypothesis testing, significance testing) to provide clarity in areas of business uncertainty.
- Data Integrity & Retrieval: design and execute data queries to retrieve and cleanse data, ensuring the underlying distributions are understood and verified before use in modeling.
- Cross-Team Collaboration: work with disparate teams to understand their goals and translate their business constraints into mathematical frameworks.
- Communication: provide clear written and verbal communication, with a specific focus on translating complex statistical concepts into intuitive narratives for non-technical stakeholders.
Qualifications
This Person Is Someone With
- Demonstrated experience in a Data Science role.
- Bachelor’s degree with Honours (Masters or PhD highly preferred) in statistics, mathematics, econometrics, or a related quantitative field, or equivalent relevant experience.
- Proven experience in statistical modeling (e.g., GLMs, clustering, regression, classification) and a deep understanding of experimental design.
- Strong experience in Python (required). Experience in other statistical tooling like R is advantageous.
- Solid SQL skills.
- Experience in data visualisation, using tools/libraries like Tableau, Seaborn, Matplotlib, GGplot, Plotly to communicate findings.
- Experience with cloud computing (especially Databricks, but could also include AWS, GCP, etc.) - highly desired.
- Familiarity with version control (Git/Bitbucket) and a commitment to writing reproducible, well-documented code.
- Strong ability to communicate and collaborate with both technical and non-technical stakeholders.
- Ability to apply AI and agentic methods to streamline business processes highly regarded.
Additional Information
Perks & Benefits
Wellbeing: Free counselling, seasonal activities, Wellbeing Allowance, wellness room, flu shots
Work Life: Home Workspace Allowance, Purchased Leave, Parental Leave, Parental Flex Leave, Lumi Life Leave for challenging events, breastfeeding/expressing space
Social & Food: Monthly lunches, regular celebrations, stocked kitchen, beer & kombucha on tap, board games, rooftop BBQs
Rewards & Recognition: Competitive pay, referral bonuses, shout-out recognitions
Community Support: Paid volunteer leave, diversity celebrations, company volunteer days
Career & Growth: Rapid advancement opportunities, higher education sponsorship, hackathons