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Principal Data Scientist - REMOTE

Jobgether
Department:Data Engineer
Type:REMOTE
Region:Australia
Location:Australia
Experience:Mid-Senior level
Estimated Salary:A$180,000 - A$250,000
Skills:
MACHINE LEARNINGPREDICTIVE MODELINGCUSTOMER BEHAVIOR ANALYTICSCAUSAL INFERENCEEXPERIMENTATIONSQLPYTHONDATA SCIENCEADVANCED ANALYTICSML MODELSSTATISTICAL MODELS
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Job Description

Posted on: March 3, 2026

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Data Scientist. In this role, you will be pivotal in leading the design and deployment of machine learning models focused on customer behavior. You'll drive insights that influence product decisions, ensuring that data-driven strategies are at the forefront of our client’s business initiatives. Collaboration with engineering and machine learning teams will be key to operationalizing your models and ensuring their success. Your work will directly impact retention, churn reduction, and lifetime value enhancements, all while mentoring other data scientists to foster a culture of data excellence. Accountabilities

  • Lead the design, development, and deployment of ML models predicting customer behaviors such as churn and lifetime value.
  • Build behavioral segmentation frameworks and uplift models for product and marketing strategies.
  • Drive product insights using causal inference and experimentation techniques.
  • Own analytics for key initiatives, defining success metrics and guiding experimentation.
  • Establish statistical models that elucidate the impact of marketing strategies.
  • Collaborate with cross-functional teams to ensure data model scalability and operational workflows.
  • Provide technical mentorship and elevate best practices within the analytics team.

Requirements

  • 9+ years of experience in data science or advanced analytics, preferably in SaaS or AdTech environments.
  • Proven knowledge of predictive modeling and customer behavior analytics.
  • Experience with causal inference techniques and experimentation frameworks.
  • Strong SQL and Python skills with hands-on experience in production-grade ML models.
  • Ability to define metrics and shape product strategy in partnership with product teams.
  • Excellent data storytelling skills, able to communicate complex ideas clearly.
  • Experience navigating ambiguous problem spaces to drive long-term strategies.

Benefits

  • Competitive salary and equity packages.
  • Comprehensive medical, dental, and vision plans with significant employer contributions.
  • Access to mortgage concierge services for personalized homebuying assistance.
  • Short and long-term disability benefits at no cost.
  • 401K Plan options including Pre-tax and Roth.
  • 4 weeks paid time off to promote work/life balance.
  • Generous paid family leave policies.
  • Opportunities to participate in community volunteer efforts.

Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Originally posted on LinkedIn

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