Experienced Senior Data Scientist, Analytics – Quantitative Analysis & Business Intelligence

Join arenaflex as a Senior Data Scientist, Analytics

Are you ready to transform raw data into actionable insights that shape the future of a dynamic technology company? At arenaflex, we're searching for a talented Senior Data Scientist, Analytics to join our growing Analytics team and drive data-informed decision-making across the organization. This is an exceptional opportunity to leverage your quantitative expertise, mentor junior professionals, and make a meaningful impact on millions of users worldwide.

At arenaflex, we believe that data is the backbone of every strategic decision we make. As a Senior Data Scientist, you'll work at the intersection of analytics, technology, and business strategy—uncovering patterns in complex datasets and translating your findings into recommendations that directly influence our product roadmap, marketing initiatives, operational efficiency, and customer experience. If you're passionate about using data to tell compelling stories and drive measurable business outcomes, we want to hear from you.

What You'll Do at arenaflex

As a Senior Data Scientist on our Analytics team, you'll be embedded within cross-functional teams, collaborating closely with product managers, engineers, business leaders, and other stakeholders. Your work will span the full analytics lifecycle—from identifying business questions and designing analysis approaches to building dashboards, presenting findings, and influencing strategic decisions.

Key Responsibilities

• Quantitative Analysis & Insight Generation: Apply advanced statistical techniques and quantitative analysis to uncover trends, patterns, and correlations in large datasets. Go beyond the numbers to understand the "why" behind the data and translate findings into clear, actionable business recommendations.
• Full-Cycle Analytics Projects: Design and execute end-to-end analytics initiatives, including defining metrics, building experiments, developing reports, and creating executive-facing dashboards that track progress against strategic goals.
• Statistical Modeling & Experimentation: Lead A/B testing and hypothesis validation efforts using statistical methods such as regression analysis, time series analysis, cohort analysis, and hypothesis testing. Ensure rigorous experimental design and statistically valid conclusions.
• Data Infrastructure Collaboration: Partner with engineering teams to implement, validate, and monitor data logging, pipeline optimization, and data quality assurance. Ensure our data infrastructure supports scalable, reliable analytics.
• Mentorship & Team Development: Coach and mentor junior data scientists and analysts on advanced analytical methods, problem-solving frameworks, and best practices. Foster a culture of continuous learning and technical excellence.
• Business Partnership: Provide actionable insights to product and business leaders that help them understand marketplace dynamics, customer behavior, competitive landscape, and long-term growth trends.
• Proactive Opportunity Identification: Anticipate challenges and identify emerging opportunities by monitoring key performance indicators, forecasting trends, and recommending data-driven solutions to move critical metrics.
• Cross-Functional Collaboration: Work across multiple teams including Product, Engineering, Marketing, Operations, and Finance to drive alignment and ensure analytics insights are integrated into decision-making processes.

What We're Looking For

We're seeking a candidate who thrives in a fast-paced, ambiguous environment and is excited about tackling complex business challenges with data. The ideal candidate will have a strong quantitative foundation, proven experience applying analytics to drive business impact, and the ability to communicate complex findings to both technical and non-technical audiences.

Essential Qualifications

• Educational Background: Bachelor's degree or higher in Mathematics, Statistics, Economics, Computer Science, Physics, or a related quantitative field. Advanced degrees are a plus but not required.
• Professional Experience: Minimum of 4+ years of experience in data analysis, data science, business analytics, consulting, or a related role. Experience in a technology, marketplace, or e-commerce environment is highly desirable.
• Technical Proficiency: Strong proficiency in SQL for complex querying and data extraction, along with experience using statistical programming languages such as Python, R, or similar. Familiarity with ETL processes and data pipeline optimization is essential.
• Statistical Expertise: Deep experience with statistical analysis methods including A/B testing, hypothesis testing, regression models, time series analysis, cohort analysis, and experiment design. Comfortable working with statistical packages and libraries.
• Data Visualization: Experience with business intelligence and visualization tools such as Looker, Tableau, Chartio, or similar platforms. Ability to create clear, compelling visualizations that drive action.
• Analytical Problem-Solving: Demonstrated ability to take ambiguous business problems and structure them into analytical frameworks. You should be comfortable working with incomplete information and iteratively refining your approach.
• Communication Skills: Excellent written and verbal communication skills, with the ability to translate complex technical concepts into clear, business-oriented language for diverse audiences.

Preferred Qualifications

• Advanced degree (Master's or PhD) in a quantitative discipline


• Experience with marketplace dynamics, two-sided platforms, or logistics/supply chain analytics


• Knowledge of machine learning techniques and predictive modeling


• Familiarity with big data technologies such as Spark, Hadoop, or cloud data warehouses


• Experience in fast-paced startup or high-growth technology environments


• Background in customer acquisition, retention, or lifecycle analytics


• Experience with fraud detection, risk analytics, or trust and safety

Why arenaflex?

At arenaflex, we're more than just a technology company—we're a team of builders, dreamers, and problem-solvers committed to transforming how people access goods and services. Our mission to empower local economies drives everything we do, and we believe that our people are our greatest asset. When you join arenaflex, you're joining a community that values innovation, collaboration, and making a real impact.

Our Culture

We foster a culture of continuous learning and rapid iteration. Our teams are encouraged to experiment, fail fast, and learn from both successes and setbacks. We believe that diverse perspectives make us stronger, and we're committed to creating an inclusive environment where everyone can bring their authentic selves to work. Our flat organizational structure empowers individuals to take ownership of their work, propose new ideas, and see their contributions make a direct impact on the company's trajectory.

Growth & Development

arenaflex is growing rapidly, which means unprecedented opportunities for career advancement and professional development. As a Senior Data Scientist, you'll have access to mentorship programs, technical training, and the chance to rotate across different teams and business areas. Whether you're looking to deepen your expertise in a specific domain or expand your skill set into new areas, we'll support your career journey. You'll work alongside talented colleagues from top companies and universities, learning from their experiences while contributing your unique perspective to our collective success.

Work-Life Balance

We understand that exceptional work requires balance. arenaflex offers flexible work arrangements, including remote work options and flexible hours, so you can perform at your best while maintaining your personal well-being. Our headquarters in Seattle provides a modern, collaborative workspace, but we also embrace distributed work models that allow our team members to thrive regardless of location.

Compensation & Benefits

arenaflex is committed to recognizing your skills and contributions with competitive compensation. This role offers an hourly rate of $28 per hour, with the opportunity for additional performance-based incentives and equity participation. We provide comprehensive benefits that support your physical, mental, and financial well-being:

• Health & Wellness: Premium healthcare coverage including medical, dental, and vision insurance for you and your family


• Financial Security: 401(k) retirement plan with company matching, stock options, and competitive base salary


• Paid Time Off: Generous paid vacation, sick leave, and holidays to recharge and reconnect


• Parental Support: Paid parental leave for new parents, including adoption assistance


• Wellness Benefits: Reimbursement programs for fitness memberships, mental health resources, and wellness activities


• Professional Development: Learning stipends, conference attendance support, and internal training programs


• Relocation Assistance: Support for eligible candidates relocating to Seattle

Join Our Team

If you're ready to apply your analytical skills to meaningful business challenges, mentor the next generation of data talent, and help shape the future of a growing technology company, we encourage you to apply for this exciting opportunity. At arenaflex, you'll find a supportive environment where your contributions matter, your voice is heard, and your career can flourish.

We're excited to review your application and learn how your background, skills, and aspirations align with this role. Take the next step in your career and join the arenaflex team today!