Senior Data Scientist

UpGuard

Not Interested
Bookmark
Report This Job

profile Job Location:

Melbourne - Australia

profile Monthly Salary: Not Disclosed
Posted on: 2 days ago
Vacancies: 1 Vacancy

Job Summary

Who are we
UpGuards mission is to make life easier for security teams. We meticulously create robust solutions that enable our customers to identify assess and remediate cybersecurity risk across their attack surface vendor ecosystem workforce and trust relationships. Our integrated cyber risk posture management platform combines comprehensive security ratings instant risk assessments templated security questionnaires threat intelligence capabilities and agentic AI to give organizations a holistic view of their risk surface.

Our Product team at UpGuard comprises of our Product Management Product Support Engineering Design Data Leaks Detection and Third Party Risk Management Services. Our Product teams vision is to become the leader in the Cyber VRM category by providing a best-in-class SaaS platform for organizations to manage their third-party risk and external attack surface. Our purpose as a Product team is simply to build a product that enables this. We aim to build a product that users love and come to rely on and one that regularly and consistently improves.

Where does this role fit in
Were looking for a Senior Data Scientist to lead the evolution of our scoring algorithms provide data-driven insights to our product squads and help shape how AI is applied across our products. This role bridges analytics data science and applied AI helping turn complex security data into actionable trustworthy intelligence.

What will you do

    • Own the design evolution and validation of UpGuards scoring algorithms across all surfaces - Vendor Attack Surface Breach and User Risk.
    • Develop statistical and ML models that translate raw security data into meaningful calibrated scores.
    • Measure and improve score accuracy stability and interpretability.
    • Work with engineers to deploy and monitor models in production environments.
    • Partner with PMs and designers to define success metrics and measure product outcomes.
    • Conduct in-depth analyses of adoption engagement and retention to guide roadmap priorities.
    • Build reusable datasets dashboards and frameworks for self-serve analytics.
    • Establish best practices for experimentation and data-driven decision making across squads.
    • Collaborate with squads building AI-powered features from automated vendor assessments to breach intelligence and risk summarization.
    • Prototype and evaluate new AI/ML techniques (including LLMs embeddings and anomaly detection).
    • Define standards for safe efficient AI usage including model evaluation and prompt testing.

What will you bring

    • 5 years of experience applying quantitative methods ideally within a high-growth company with practical exposure to risk modelling and uncertainty analysis.
    • Advanced analytics expertise: Proven track record in building complex statistical or actuarial models (e.g. 5 years of experience in data science AI actuarial science or similar).
    • AI/ML proficiency: Hands-on experience implementing machine learning approaches (regression classification ensemble methods NLP deep learning etc.) in real-world applications.
    • Strong statistical foundations: Deep understanding of regression analysis probability theory and inferential statistics to accurately model risk.
    • Engineering background: Comfortable working with Go Python and relational and columnar databases (we use Postgres and BigQuery)
    • Collaborative mindset: Excellent communication and stakeholder management skills to align with product managers engineers and other cross-functional teams.
    • Leadership and ownership: Ability to define a vision set clear objectives and drive results in a fast-paced dynamic environment.

What will give you an edge

    • Familiarity with or enthusiasm for cybersecurity cyber risk management or related fields is highly desirable.
    • Domain experience in actuarial science credit risk and threat intelligence

Whats in it for you

    • Monthly Lifestyle subsidy: Use this for financial physical and mental well-being
    • WFH set-up allowance: To ensure you have the right environment to work in we will help you get set up within your first 3 months at UpGuard
    • $1500 USD annual Learning & Development allowance: To support your career development all team members will be able to expense development opportunities against this allowance
    • Annual leave: PTO plus two additional UpGuardian leave days to give you time to recharge your batteries.
    • 18 weeks paid Parental Leave: Irrespective of parenting role
    • Personal Leave Allowance: This includes sick & carers leave
    • Fully remote working environment: While we have physical offices in Sydney & Hobart we do not mandate compulsory attendance
    • Top-spec hardware: All team members will be provided with top-spec laptops for their role
    • Generative AI subsidy: UpGuard provides paid subscriptions for all team members to access generative AI tools to support their work
#LI-SR1

UpGuard is a Certified Great Place to Work in the US Australia UK and India establishing its position as a leading global technology employer. 99% of team members agree that UpGuard is a great place to work apply now to find out why!

As an Equal Employment Opportunity and Affirmative Action Employer qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender perception or identity national origin age marital status protected veteran status or disability status.

For applications to positions in the United States please note at this time we can only support hiring in the following US states: CA MD MA IL OR WA CO TX FL PA LA MO or DC.

Before starting work with us you will need to undertake a national police history check and reference checks. Also please note that at this time we cannot support candidates requiring visa sponsorship or relocation.
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.

Required Experience:

Senior IC

Who are weUpGuards mission is to make life easier for security teams. We meticulously create robust solutions that enable our customers to identify assess and remediate cybersecurity risk across their attack surface vendor ecosystem workforce and trust relationships. Our integrated cyber risk postur...
View more view more

Key Skills

  • Laboratory Experience
  • Mammalian Cell Culture
  • Biochemistry
  • Assays
  • Protein Purification
  • Research Experience
  • Next Generation Sequencing
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Flow Cytometry

About Company

Company Logo

Third-party risk and attack surface management software. UpGuard is the best platform for securing your organization’s sensitive data. Our security ratings engine monitors millions of companies and billions of data points every day.

View Profile View Profile