Product Data Scientist

About us: 

Luno is the crypto investment app you can rely on, enabling you to buy, store and explore crypto securely. We’re committed to putting the power of cryptocurrency in everyone's hands sensibly and responsibly.

Since 2013, we’ve helped millions of people around the world invest safely in crypto. We do this by cutting through the hype and supporting customers at every step of the way. All products and cryptocurrencies on our platform must first meet stringent legal, risk and technical security standards. We don’t do memecoins.

Transparency is key for us. Luno stores all crypto on a 1:1 basis and we have rigorous processes in place so you can be confident your investment is secure. We’re available in more than 40 countries around the world and we work closely with respective regulators in all of these markets to be fully compliant, as we believe this is the best way to help everyone, everywhere, invest safely.

About the team: 

The Data community at Luno, comprising Data Engineers, Scientists, and Analysts, uncovers valuable insights from the vast amounts of data we gather from our customers and platform. These insights are crucial for guiding our product development and business strategy.

As a Product Data Scientist joining Luno, you would be part of the Product Analytics team providing high quality insights into our product through experimentation and advanced analytics.

Our current technology stack includes Databricks, Looker, Amplitude and mParticle.

The role in a nutshell:

As we accelerate on our mission to put crypto in everyone’s hands, your role is to use data and insights to drive better product decisions and influence the Luno product strategy. This will involve collaborating with cross-functional teams to find, size, prioritise, evaluate and iterate on problems and opportunities to enhance our product.

Your mission will be:

• Partner with cross-functional product teams including Product Managers, Designers and Engineers to provide product analytics for data-informed decisions.
• Empower product teams with the data, tools and skills required to prioritise initiatives and shape the product roadmap.
• Design and implement event tracking data to unlock actionable insights.
• Define, understand, and test opportunities and levers to improve the product through insights and recommendations.
• Support product teams in the design, implementation and evaluation of A/B tests to facilitate a culture of continuous learning and experimentation.
• Apply analytical techniques such as segmentation, funnel and cohort analysis to deeply understand customer behaviours and journeys.
• Use data and analytics to inform, influence and execute the product strategy.

A little about you:

• You are passionate about data analytics and related disciplines.
• You can leverage data analytics to innovate and create out-of-the-box solutions.  
• You can gather and synthesise facts, theories, trends, patterns, inferences, and key issues in complex and variable situations.
• You are intellectually curious and have the persistence to find answers to difficult questions. 
• You have strong interpersonal and communication skills.
• You communicate technical concepts to non-experts in simple and helpful terms.
• You are a team player.
• You can handle uncertain and ambiguous scenarios.
• You keep abreast of developments and emerging trends in data.

The ideal Lunaut will have:

• 3+ years of experience in the data field.
• Bachelor's degree or higher in the natural sciences or technical fields such as Mathematics, Statistics, Computer Science, Information Technology, Engineering or Economics.
• Experience working with cross-functional product teams using data to influence strategy, roadmaps and drive data-informed decisions.
• Demonstrable experience in designing and analysing experiments (A/B tests).
• Hands-on experience analysing events data.
• Proficiency in SQL and experience with relational databases.
• Experience with data visualisation tools such as Looker, Tableau or similar.
• Proficiency in statistical programming languages such as Python.
• Ability to explain data and statistical concepts to non-experts in a clear, and structured manner.
• Ability to work independently, as well as within and across multi-disciplinary teams.
• Adaptable and capable of working in fast-paced environments.
• Great analytical, critical thinking and problem-solving abilities.
• Strong interpersonal and communication skills.
• Enthusiasm to work in the crypto industry.

What will really get you noticed:

• Experience working with product analytics tools such as mParticle and Amplitude.
• Experience designing and implementing event tracking plans.
• Exposure to customer behaviour analytics to drive strategic decisions regarding acquisition, churn, retention, and lifetime value.

Even if you don't think you check off every bullet point on this list, we still encourage you to apply! We value both current experience and future potential.

Life at Luno:

• Forward-thinking and ambitious team that values diversity, hard work, and the continuous quest for excellence.
• Remote but reachable work policy gives you the freedom to choose between working from home or the office.
• Improve body and mind, with excellent private medical insurance.
• Access to Learnably and our additional learning platforms for your personal and professional development.
• Generous maternity / paternity and even paw-ternity for your furry friend.
• Annual Inspiration Day in addition to your annual leave which increases based on your length of service! Plus the option to buy and sell leave. 
• A collaborative, friendly work community, with regular social events and virtual cooking, dancing, drawing and house planting classes hosted by our Lunauts.
• Free lunch and snacks.
• 0 fees with Luno from the day you start.*

*Offer only available on Luno Instant Buy, not Luno Exchange

We are an equal opportunity employer and value diversity at our company. We do not negatively discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.