Product Data Science Lead

Proven Experience: 4+ years delivering analytics solutions for Product teams within a high-growth SaaS company.

Product Domain Knowledge: Strong working knowledge of product analytics – activation, engagement, feature adoption, and retention – including how KPIs and milestones are defined, instrumented, and measured, and fluency in translating engagement data into a north star metrics framework.

Statistical Rigor: Comfort with core statistical reasoning — significance, confidence, sample size, variance, and the risk of misleading metrics from small or noisy cohorts — applied to keep KPI definitions and dashboards honest.

Sales & CS Fluency: Understanding of how product usage and engagement signals are consumed by Sales and Customer Success – health scores, expansion signals, renewal risk, and adoption plays – and how to package product data for those audiences.

Requirements Translation: A demonstrated ability to take loose, ambiguous, or evolving product requirements from PMs, Operations, Design, and Engineering and translate them into well-structured dbt models, clear metric definitions, and insights stakeholders can act on.

Data Infrastructure Expertise: Strong understanding of modern data infrastructure (e.g., cloud data warehouses like BigQuery; ETL/ELT tools; dbt model development; modern data visualisation tools like ThoughtSpot, Omni, Looker).

Exceptional Business Acumen: Ability to quickly understand complex product and business problems, identify key performance indicators, and translate data into strategic insights that drive tangible business value.

Communication & Influence: Excellent communication (verbal and written) skills, with the ability to articulate complex analytical concepts – including KPI definitions and engagement trade-offs – to both technical and non-technical audiences and influence decision-making.

Strategic & Analytical Thinking: Highly analytical and strategic mindset, with a proven track record of developing and executing data strategies that align with product and business objectives.

Data Development: Directly engage in the creation of fundamental data and Business Intelligence (BI) infrastructure and assets, including hands-on dbt model authorship.

AI Fluency: Fluency leveraging AI/LLM tools to accelerate analysis, code development, and documentation.

Data Science / AI Engineering: Proven experience as a data scientist or AI engineer, ideally within a SaaS company environment, with exposure ing, engagement scoring, causal inference techniques, or building/evaluating the tool-calling and retrieval layers that let LLM agents query structured business data.

Product Tech Stack: Hands-on experience with product analytics and CS tools such as Segment, Mixpanel, Amplitude, HubSpot, and Salesforce, and an understanding of how their data shapes downstream analytics.

SaaS Metrics Fluency: Strong grasp of core B2B SaaS metrics – NRR/GRR, activation and time-to-value, product-qualified leads, expansion and churn drivers – and how to connect product engagement data to these outcomes. What's 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 & carer’s 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 Stock Options: Share in UpGuard's growth and long-term success.

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 & carer’s 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

Stock Options: Share in UpGuard's growth and long-term success.

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.