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Senior Data Scientist (Rewards Optimisation)
You’ll Be Empowered To 🎮:
- Optimise and measure rewards to achieve business objectives through data-driven strategies
- Conduct quantitative research, analyse market data and user interactions, and identify trends to inform strategic reward decisions and enhance the growth of the Immutable platform
- Focus on hypothesis generation, optimisation, experimentation, and evaluation to drive continuous improvement
- Develop and implement predictive models to forecast user behaviour, inform reward decisions, and support targeted growth initiatives
- Create visualisations and generate reports that effectively communicate experimental results, insights, and findings to stakeholders, aiding in decision-making across the organisation
- Collaborate closely with teams such as Product, Engineering, Tokenomics and Design to ensure that data analysis and recommendations align with overall business strategies and objectives
- Stay current with industry trends and advancements in data science and related technologies to maintain a competitive and innovative approach to data-driven decision-making
We'd Love You To Bring 🤝:
- Advanced SQL expertise for data manipulation, analysis, and reporting
- Extensive experience applying probability theory and statistical methods to solve business problems
- A proven track record in data science or a closely related field, with at least 3 years of experience working on data-driven projects
- Proficiency in data analysis, modelling, and visualisation, with the ability to interpret complex data sets and create clear and compelling visualisations to communicate insights effectively
- Strong stakeholder management skills, enabling effective communication and relationship management across various stakeholders, ensuring alignment and collaboration on data-driven projects and initiatives
- Experience in designing and implementing scientific experiments to evaluate the impact of different features, designs, or strategies on user behaviour and business outcomes
- A genuine passion for and knowledge of emerging technologies such as crypto, NFTs, games, or product-led growth
Bonus Points For ✅ :
- Expertise in the optimisation of reward programs, particularly beyond standard loyalty programs
- Experience with quantitative finance, which would be highly valuable
- Proficiency with Looker for data visualisation and business intelligence, enabling the creation of custom reports and dashboards for stakeholders
- Knowledge of behavioural psychology principles to better understand user behaviour and motivations, leading to more effective data-driven insights and recommendations
- Experience with machine learning techniques and algorithms to develop predictive models and gain insights from complex data sets
What does a data scientist in web3 do?
A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem
This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems
In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems
Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.