Data Scientist at LI.FI

Job Description

Key Responsibilities

• Conduct in-depth analysis of on-chain data to identify business trends and opportunities, using advanced tools and methodologies.
• Perform competitive intelligence assessments and customer analytics by evaluating data sources, user behavior, and transactional metrics.
• Lead the design and implementation of data infrastructure, working closely with backend teams to build scalable data pipelines.
• Develop and maintain interactive marketing/sales dashboards for B2B clients, ensuring real-time data visualization and accessibility.
• Structure and organize complex datasets according to business processes, translating raw data into actionable solutions.
• Present analytical results and strategic recommendations to internal teams and external stakeholders through clear, data-driven communication.
• Oversee end-to-end data workflows across departments, ensuring consistency, accuracy, and alignment with business goals.
• Collaborate with cross-functional teams (Marketing, Product, Development, Sales) to integrate data insights into decision-making processes.
• Continuously refine data strategies to improve operational efficiency and support growth initiatives.
• Ensure data quality and integrity by implementing robust validation processes and monitoring system performance.

Job Requirements

• Proven experience in data analysis, preferably with blockchain or market intelligence domains, demonstrating a track record of delivering impactful insights.
• Strong proficiency in data processing tools and technologies, including SQL, Python, and data visualization platforms like Tableau or Power BI.
• Excellent analytical skills with the ability to interpret complex datasets and derive meaningful conclusions for business applications.
• Collaborative mindset, capable of working with cross-functional teams to align data initiatives with organizational priorities.
• Advanced understanding of data pipeline architecture and cloud-based data storage solutions for scalable data management.
• Ability to communicate technical findings to non-technical stakeholders, ensuring clarity and strategic relevance.
• Experience in developing and maintaining dashboards for B2B clients, with a focus on user-centric design and actionable metrics.
• Strong problem-solving abilities, translating data challenges into innovative solutions that drive business outcomes.
• Knowledge of data governance frameworks and best practices for maintaining data security and compliance.
• Excellent organizational skills to manage multiple data projects simultaneously while maintaining high standards of accuracy and timeliness.
• Ability to influence and guide teams through data-driven decision-making processes, fostering a culture of analytics within the organization.
• Preferred qualifications include a degree in Computer Science, Data Science, or a related field, along with certifications in data analytics or business intelligence tools.
• Experience with cloud platforms (AWS, Google Cloud, Azure) for data storage, processing, and analytics is highly advantageous.
• Strong attention to detail to ensure data accuracy, consistency, and reliability across all deliverables.
• Ability to adapt to evolving data technologies and methodologies, staying current with industry trends and innovations.
• Excellent time management skills to meet project deadlines while maintaining high-quality outputs.
• Collaborative leadership skills to guide teams in achieving data-driven objectives and fostering innovation.
• Experience in developing and implementing data strategies that align with business growth and operational efficiency.
• Ability to work independently and as part of a team, balancing autonomy with collaboration to achieve results.