About Us

Flipside orchestrates blockchain growth through a powerful mix of data, science, and community. We drive measurable market cap growth for blockchain ecosystems, empower analysts with industry-leading data, and empower anyone to earn tokens by shaping the onchain economy.

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At the heart of our approach is a proprietary wallet scoring methodology that transforms raw onchain data into actionable growth strategies. This highly quantitative framework drives meaningful ecosystem awareness, acquisition, and activation—and has catalyzed billions in value creation for Flipside partners like Solana, Avalanche, NEAR, Aptos, and more.

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Founded in 2017 and backed by leading investors like Republic, Galaxy, and True Ventures, Flipside is a remote-first company with a global team of nearly 100. With an energetic community of 180,000 analysts, and dozens of top-tier blockchain partners, growth knows no bounds at Flipside.

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The Role

At Flipside Crypto, we are committed to empowering blockchain success through data. As a Data Scientist, you will leverage advanced data analytics to influence business decisions, collaborate with teams across the organization, and shape the future of blockchain protocols.

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This role integrates data science with a strategic, consultative approach, where you will apply data-driven insights across multiple teams, particularly Growth Services, to inform business decisions, optimize growth strategies, and contribute to the development of impactful products.

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Responsibilities

• Growth Strategy & Client Analysis: Collaborate with the Growth Services team to analyze client needs using data-driven insights, assess the success of growth programs, and refine strategies based on data findings.
• Product Strategy: Leverage data insights to inform the development of new products and features, ensuring they align with client needs, market demands, and emerging trends in the blockchain space.
• Develop Proprietary Growth Science Tools: Contribute to the creation of innovative, data-driven methodologies and intellectual property that help us understand blockchain success factors and activate on them via our Blockchain Growth * offerings: Everything from improving existing IP to developing prototypes of new ideas to working with Product on new recommendation algorithms or contributions to our AI Agent infrastructure.
• Reporting & Analytics: Work closely with the analytics team to ensure that reporting is grounded in data-driven methodologies, providing clear, actionable insights that support growth services.
• Industry Awareness: Stay up to date with trends and developments in the crypto space, ensuring that your work remains informed by the latest data and industry advancements.
• Leadership & Growth: Lead data-driven projects, with the potential to take on team leadership roles as the company scales. Over time, you will be expected to mentor junior data scientists and manage larger, cross-functional projects, guiding the strategic direction of data science initiatives.

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Experience & Skills

• Experience: 5-7+ years in data science, with a background in business or product data science. You should have proven experience turning complex data into actionable insights that drive business growth and success.

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• Technical Skills
  • Advanced SQL proficiency, you will use Snowflake extensively to access data
  • Advanced modelling in R or Python. Expertise in R is preferred, but strong Python knowledge is also acceptable, with the willingness to learn R as needed. Both languages may be used depending on the task.
  • AI Augmentation mindset: you have “gotten over the hump” on AI. You use multiple AI tools regularly for both coding and thinking. Even better: you have developed a multi-agent workflow in R or Python that brings together machine learning or statistical modeling and AI in one environment
  • Excellent data visualization skills to effectively present insights to both technical and non-technical stakeholders.

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• Work Style: This is a fast-paced, results-oriented role where high turnaround times are expected. You will deliver actionable, data-backed insights quickly, iterate on strategies, and contribute directly to product and growth services.
• Leadership and Mentorship: As we scale, this role has the potential to transition into a managerial position, where you would lead a growing team of data scientists. You will be expected to mentor junior team members, help them develop their skills, and lead larger, cross-functional initiatives. You will also help shape the strategic direction of data science within the company.

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