At Go1, we're on a mission to help organizations deliver learning and development in more relevant, timely, and effective ways. From a small startup to now a global brand – we've grown by solving hard problems, embracing ambiguity, and never standing still. If you thrive on change, get energy from big, complex challenges, and are excited to grow fast alongside smart, ambitious people, then Go1 might be exactly what you're looking for.
We offer autonomy with accountability, space to experiment, and the opportunity to shape solutions that impact millions of learners worldwide. We don't have all the answers — and that's the point. We figure it out together. Every line of code, every conversation, every bold idea helps move us closer to our mission: to enable individuals, organizations, and society to progress. There's still so much to build — and even more to discover.
Go there with us...
We are seeking an experienced Senior Data Scientist to lead the design and development of advanced statistical and machine learning systems, leveraging large language models and experimentation to elevate product experiences and drive product and commercial decision science across our ecosystem.
Data Science Product Lifecycle
* Assess the feasibility of initiatives and experiment with new methodologies to validate concepts and improve algorithms
* Influence business goals, supporting the Data Intelligence Leader in the shaping of our DS Roadmap, services and priorities
* You will analyze large and vast amounts of data and design and build (Python, SQL) reliable, fit for purpose data solutions
* Structure experiments, analyzing the outputs and using them to improve performance, as well as recommending ways to improve our experiment infrastructure and approach, to make them faster and more robust
* Partner with Engineering to evaluate and optimize LLM and agentic capabilities through robust measurement frameworks and experimentation
Data Analysis and Insights
* Perform critical analyses to inform our strategy, product direction and commercial priorities. Retrieving, synthesizing and presenting insights in a format that is immediately useful to answering specific questions, or improving performance
* Develop and evaluate models that improve personalization and recommendation systems, enhancing user engagement
* Develop and apply lifecycle, retention, and propensity analyses to identify growth opportunities and reduce churn risk
* Design and refine attribution frameworks to better understand acquisition effectiveness and revenue drivers
* Conduct exploratory analysis to uncover trends, patterns, risks and opportunities across engagement, monetisation, and performance
Communication, Collaboration and Leadership
* Collaborate cross functionally with Product, Engineering, Content, Customer, Marketing and Sales, Finance
* Mentoring of other Data Scientists as they join our team
Skills And Experience Required
* Proficient with data querying languages (SQL), scripting languages (Python)
* 5+ years of data science experience
* 2+ years of A/B testing and data visualisation experience
* Experience of successful deployment of AI solutions into Production environments with appropriate governance controls
* Strong communication skills, with the ability to convey complex concepts to non-technical stakeholders
* Required experience with statistical models (regression) and ML models (retrieval, ranking, reinforcement)
* Required experience designing evaluation approaches for AI solutions, ML and LLMs (agents desirable)
* Desired understanding of personalization algorithms
* Desired experience in large scale distribution systems (Spark, Elasticsearch) and managing DS pipelines
* Desired Master or PhD in Data Science, Computer Science, Statistics or related field
* Ability to thrive in a fast-paced, ambiguous environment
Benefits
* In addition to your base salary: Annual bonus or commission plan.
* Employee Stock Option Plan: Opportunity to share directly in our success through stock options.
* Public Holiday Swap: Swap a public holiday for another preferred day.
* Flexible Working: We are a fully remote organisation with team events and travel throughout the year.
* Wellbeing & Learning Days: An additional five days of paid leave per year.
* Learning Budget: $500 USD per financial year, plus access to additional Career Growth Budget.
* WFH/Transport Budget: Monthly allowance for internet/phone expenses or public transport.
* Home Office Setup Budget: One-off allowance for desk, chair and/or monitor.
* Parental Leave: Minimum of 18 weeks paid parental leave for primary carers + 6 weeks paid parental leave for secondary carers.
* Wellbeing Support: Access to counselling and wellbeing app via Nilo Health.
Check out Life at Go1: LET'S GO!
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