Senior Data Scientist

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Scientist based in Portugal.

This is an exciting opportunity to join a fast-growing, remote-first environment at the forefront of fraud prevention and financial risk intelligence. In this role, you will leverage advanced analytics, machine learning, and large-scale data to tackle complex fraud challenges with real-world impact. You will work closely with clients and cross-functional teams to design innovative risk solutions, optimize decision-making, and improve product performance. The position combines hands-on technical work with strategic problem-solving and stakeholder collaboration. Ideal for professionals who enjoy turning data into actionable insights, this role offers significant ownership, exposure to cutting-edge technologies, and the opportunity to influence the future of risk management on a global scale.

• Design, build, and deploy machine learning models to identify and prevent fraud across a variety of fintech and risk-related use cases.
• Drive a data-first culture by promoting analytical thinking and data-driven decision-making across internal teams and client engagements.
• Develop, monitor, and optimize performance metrics to measure the effectiveness of risk strategies and product outcomes.
• Conduct advanced analyses to uncover insights that improve fraud prevention, approval rates, and overall customer experience.
• Partner directly with clients to understand their fraud challenges and provide clear, actionable recommendations based on data insights.
• Build automated dashboards and self-service reporting solutions using business intelligence tools.
• Collaborate closely with engineering teams to productionize models, improve scalability, and enhance data infrastructure.
• Work cross-functionally with product, business, and engineering stakeholders to translate business requirements into impactful analytical solutions.
• Support the development of innovative risk mitigation strategies while balancing security, efficiency, and user experience.

Requirements:

• 7+ years of experience in data science, quantitative modeling, analytics, or related data-focused roles, ideally within fraud prevention, financial risk, or fintech environments.
• Strong hands-on expertise in Python and/or R, along with advanced SQL skills for large-scale data analysis.
• Experience with machine learning model development, deployment, and performance monitoring in production environments.
• Proficiency with BI and visualization tools such as Tableau, Sigma, Metabase, or similar platforms.
• Strong analytical skills, including experience with exploratory data analysis, cohort analysis, and extracting insights from complex datasets.
• Ability to communicate technical findings effectively to both technical and non-technical audiences, including external stakeholders and clients.
• Excellent critical thinking, problem-solving, and decision-making capabilities with a proactive and results-oriented mindset.
• Experience collaborating within cross-functional, globally distributed teams.
• Familiarity with big data technologies such as Spark is considered an advantage.
• Strong English communication skills, both written and verbal.

Benefits:

• Competitive compensation package including cash compensation and equity participation.
• Remote-first working environment with the flexibility to work from anywhere.
• Flexible paid time off and additional year-end holiday breaks.
• Home office setup allowance to support your ideal remote workspace.
• Company-provided MacBook Pro and necessary equipment.
• Monthly meal allowance and social activity stipend.
• Annual health and wellness budget.
• Annual learning and professional development stipend.
• Opportunity to work alongside world-class professionals in a high-growth international environment.
• High levels of autonomy, ownership, and flexibility with a strong focus on results rather than hours worked.
• Inclusive and supportive culture that values work-life balance and personal well-being.