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Experienced Senior Data Scientist – Financial Services Analytics & Business Intelligence

Remote, USA Full-time Posted 2026-06-10
Job Description:

About arenaflex

Arenaflex is a leading financial technology platform dedicated to empowering individuals and businesses with comprehensive financial data, tools, and insights. As part of an exciting new initiative, we are committed to building and renewing this essential, trusted resource for investors and savers worldwide. With millions of unique users engaging with our platform every month, arenaflex presents extraordinary opportunities for data professionals to make a meaningful impact and help shape the future of financial technology.

About This Role

We are seeking a talented and motivated Senior Data Scientist to join our Business Intelligence and Product team. In this role, you will collaborate closely with business knowledge and product leads to drive customer growth by delivering actionable business and audience insights through experimental design and comprehensive analyses. This is a unique opportunity to leverage your analytical expertise in a fast-paced, innovation-driven environment where your work will directly impact millions of users.

Key Responsibilities

  • Investigate Customer Needs: Analyze customer needs and identify/prioritize pain points, trouble spots, and delight factors through statistical analysis, behavioral data, click streams, conversion funnels, and other quantitative indicators.
  • Build Predictive Models: Construct advanced models to uncover insights on what drives performance across reach, retention, referrals, and revenue growth. Apply machine learning techniques to forecast trends and identify opportunities.
  • Create Dashboards and Reports: Develop dashboards and reports that provide meaningful analysis and discourse, explaining product, marketing, and business trends for Executive leadership reporting.
  • Communicate Insights: Inform and update leaders and stakeholders on product performance, initiatives, and progress towards key metrics through clear, data-driven presentations.
  • Design Testing Frameworks: Define data testing plans and create strategies that help teams execute rapid experimentation and release new features for testing, with successful experiments rolled out globally.
  • Focus on Key Metrics: Center the product roadmap around achieving the metrics that matter and making ruthless decisions about what to prioritize and what to deprioritize.
  • Conduct Competitive Research: Develop and dive deep on consumer insights and competitive intelligence to help teams drive product innovation and process improvement.
  • Translate Customer Insights: Assist teams in understanding and assimilating consumer insights, decisions, and preferences—and how these impact the product roadmap to drive growth.
  • Cross-Functional Collaboration: Build strong partnerships with product, design, engineering, and marketing teams to enable them to launch new growth initiatives for testing and iteration.
  • Evaluate Product Launches: Provide feedback to product and engineering teams on impact of product launches, including target launch metrics, A/B testing results, and post-launch performance.
  • Analyze Metric Deviations: Distil all findings from statistically significant deviations that will impact reach, retention, referrals, and ultimately revenue metrics.
  • Data Quality Assurance: Research data quality and partner closely with Data Engineering teams to provide actionable requirements and improvements.
  • Problem Formulation: Frame business problems into questions that can be answered through data analysis and translate business needs into technical requirements.
  • Lead Strategic Projects: Plan and lead time-sensitive strategic analysis projects including methodology development, research, key recommendations, and presentation of findings to Senior Management.

Essential Qualifications

  • Educational Background: Bachelor's or Master's degree in a highly quantitative field such as Computer Science, Statistics, Mathematics, Analytics, or Data Science.
  • Technical Expertise: Strong proficiency in Python and SQL for data manipulation, analysis, and database querying.
  • Industry Experience: Prior experience working in the financial services or fintech sector is highly preferred.
  • Data Analysis Skills: Proven experience in data analysis and generating actionable insights for consumer-centered organizations.
  • Query Development: Strong knowledge of query development and data ETL (Extract, Transform, Load) processes.
  • Big Data Technologies: Experience with big data technologies including Hive, Hadoop, MapReduce, Spark, and similar frameworks.
  • Machine Learning Skills: Solid machine learning skills, including clustering algorithms, neural networks, predictive modeling, and classification techniques.
  • Statistical Methods: Extensive experience with statistical methodologies including correlation analysis, design of experiments, linear and nonlinear regressions, logistic regression, sampling and resampling techniques, time series analysis, and longitudinal analysis.
  • Product Experience: Significant experience, capability in, and passion for Mobile or Web products is essential.

Preferred Qualifications

  • Proactive Leadership: History of proactively establishing and completing responsibilities with minimal supervision.
  • Multi-Disciplinary Knowledge: A unique blend of consumer insights, competitive intelligence, and technical expertise.
  • Data-Driven Decision Making: Demonstrated use of analysis, metrics, and benchmarking to drive strategic business decisions.
  • Communication Skills: Excellent interpersonal, organizational, creative, and communication skills to present complex findings to non-technical stakeholders.
  • Collaborative Mindset: A collaborative team player committed to driving innovation results combined with a positive, can-do attitude.
  • Strong Work Ethic: Strong work ethic and guiding principles including integrity, honesty, and creativity in problem-solving.
  • Problem Solving: Natural problem solver who constantly thinks about ways to improve processes and outcomes.
  • Self-Motivation: Self-motivated, results-driven, and team-oriented leader who thrives in ambiguous environments.
  • Consumer Empathy: Strong consumer instincts and data sensibilities to understand user behavior and preferences.
  • Proven Track Record: Demonstrated success in past roles with measurable business impact.

Career Growth Opportunities

At arenaflex, we invest in your professional development. This role offers exceptional opportunities for career advancement, including exposure to cutting-edge data science technologies, leadership responsibilities, and the ability to influence product strategy at a global scale. You will work alongside industry experts, participate in cross-functional initiatives, and develop expertise in financial services analytics—a highly valued and in-demand skill set in today's job market.

Work Environment & Culture

arenaflex fosters a dynamic, inclusive, and innovative work environment where diverse perspectives are celebrated. We value collaboration, continuous learning, and data-driven decision making. Our team culture emphasizes mentorship, knowledge sharing, and supporting one another to achieve shared goals. We offer flexible work arrangements and the tools you need to succeed in a remote-friendly or hybrid setting.

Compensation & Benefits

We offer competitive compensation commensurate with experience, including a base salary and performance-based incentives. Our comprehensive benefits package includes health, dental, and vision insurance, retirement plans, professional development opportunities, and generous paid time off. Employees at arenaflex enjoy access to cutting-edge tools and resources, wellness programs, and a supportive work-life balance.

Conclusion

If you are passionate about data, thrive in a fast-paced technology environment, and want to make a meaningful impact on millions of users worldwide, arenaflex is the place for you. Join our team and help us transform the financial technology landscape while advancing your career in data science and analytics.

We encourage qualified candidates to apply and become part of our mission to deliver trusted financial insights and tools to users around the globe. Take the next step in your career—apply today and join the arenaflex team!

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