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Lumi
Data ScientistLumi • Sydney, New South Wales, Australia
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Data Scientist

Data Scientist

Lumi • Sydney, New South Wales, Australia
30+ days ago
Job description
Job Description

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

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Data Scientist • Sydney, New South Wales, Australia

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