Experienced Senior Data Scientist – Data-Driven Insights & Analytics Professional (Part Time)

About arenaflex

Welcome to arenaflex – a leading force in digital financial technology and information services. At arenaflex, we empower millions of users worldwide with cutting-edge financial data, innovative tools, and actionable insights that help them make smarter decisions about their money. As part of our continued commitment to transforming the financial technology landscape, we are seeking a talented Senior Data Scientist to join our dynamic analytics team on a part-time basis.

Our platform serves over 100 million unique users monthly, making arenaflex one of the most influential financial information hubs in the digital ecosystem. We believe in the power of data to drive meaningful change, and we're looking for a passionate data scientist who shares our vision of leveraging analytics to create exceptional user experiences and business growth.

Position Overview

Are you a data enthusiast who thrives on turning complex datasets into compelling business stories? Do you have a knack for uncovering hidden patterns that drive customer engagement and revenue growth? If so, we have an exciting opportunity for you to join arenaflex as a Senior Data Scientist on a part-time basis.

In this role, you will collaborate closely with our Business Intelligence and Product teams to accelerate customer growth through sophisticated experimentation design and in-depth analysis. You will be responsible for building predictive models, developing actionable insights, and creating comprehensive dashboards that inform strategic decision-making across the organization.

Key Responsibilities

As a Senior Data Scientist at arenaflex, you will play a pivotal role in shaping our data strategy and driving business outcomes. Your core responsibilities will include:

• Customer Insight Analysis: Conduct thorough analysis of customer needs and behaviors to identify pain points, satisfaction drivers, and opportunities for growth through clicks, conversions, channel performance, and engagement metrics.


• Predictive Modeling: Build advanced statistical and machine learning models to derive insights on factors driving performance, including user reach, customer retention, referral patterns, and revenue growth.


• Dashboard Development: Create dynamic dashboards and comprehensive reports that provide meaningful analysis and discussion, explaining product, marketing, and business trends for executive-level reporting.


• Stakeholder Communication: Inform and update leadership and stakeholders on product performance, strategic initiatives, and progress toward key metrics through clear, data-backed presentations.


• Testing Strategy: Define data testing plans and develop methodologies that enable teams to iterate quickly and release new features for experimentation, with successful tests rolled out globally.


• Product Roadmap Alignment: Focus the product roadmap on achieving meaningful metrics and making decisive judgments about feature prioritization and resource allocation.


• Consumer Research: Develop deep dives into consumer insights and competitive intelligence to drive product innovation and process improvement across teams.


• Insight Integration: Help teams understand and integrate consumer insights, preferences, and behaviors into the product and testing roadmap to fuel sustainable growth.


• Cross-Functional Collaboration: Build strong partnerships with Product, Design, Engineering, and Marketing teams to enable successful launch of new growth initiatives through testing and iteration.


• Impact Assessment: Provide feedback to Product and Engineering teams on the impact of product launches, including target launch metrics, A/B testing results, and post-launch performance analysis.


• Statistical Analysis: Distil complex metrics into statistically significant deviations that impact reach, retention, referral, and revenue metrics.


• Data Quality Management: Research data sources and monitor data quality while working closely with Data Engineering teams to establish actionable requirements.


• Business Translation: Translate business problems into answerable questions through data analysis and convert business needs into technical requirements.


• Strategic Projects: Plan and lead time-sensitive strategic analysis projects, including methodology development, analysis, key recommendations, and presentation of findings to Senior Management.

Essential Qualifications

To succeed in this role, you must possess the following qualifications and skills:

• Technical Expertise: Strong proficiency in Python and SQL is required. You should be comfortable working with large-scale datasets and have experience with big data technologies including Hive, Hadoop, MapReduce, and Spark.


• Educational Background: A Bachelor's or Master's degree in a highly quantitative field such as Computer Science, Statistics, Mathematics, Analytics, or Data Science is essential.


• Industry Experience: Previous experience working in the financial sector or fintech industry is highly preferred.


• Data Analysis Skills: Proven track record of analyzing data and generating actionable insights for consumer-centered organizations.


• Data Engineering Knowledge: Familiarity with query development and data ETL (Extract, Transform, Load) processes.


• Machine Learning Expertise: Strong machine learning skills, including clustering analysis, neural networks, and predictive modeling techniques.


• Statistical Proficiency: Extensive experience with statistical methods including correlation analysis, design of experiments, linear and nonlinear regressions, logistic regression, sampling and resampling methods, time series analysis, and longitudinal analysis.


• Digital Product Experience: Significant experience with and passion for mobile and web products, with a strong understanding of the digital ecosystem from applications to marketing and analytics.


• Project Management: A history of proactively establishing and fulfilling commitments with minimal supervision.


• Analytical Thinking: A combination of consumer insights, competitive intelligence, and technical knowledge to drive data-informed decisions.


• Decision-Making: Demonstrated use of analytics, statistics, and benchmarking to drive strategic business decisions.


• Communication Skills: Excellent interpersonal, organizational, and communication skills with the ability to present complex data findings to non-technical stakeholders.


• Problem-Solving Mindset: A proactive problem solver who constantly thinks about ways to improve processes and outcomes.


• Self-Motivation: Self-motivated, results-driven, and team-oriented with a strong work ethic.

Preferred Qualifications

While not mandatory, the following qualifications will give you an edge in this role:

• Advanced degree (Ph.D.) in a quantitative field


• Experience with cloud-based analytics platforms and tools


• Knowledge of modern data visualization tools such as Tableau, Looker, or Power BI


• Familiarity with product analytics platforms and customer data platforms


• Experience in A/B testing methodologies and statistical significance testing


• Understanding of digital marketing metrics and attribution models


• Previous experience in a high-growth startup or tech environment

Skills and Competencies

Beyond technical qualifications, we are looking for a candidate who embodies the following competencies:

• Data Intuition: You have an innate ability to sense stories within data and can quickly identify anomalies, trends, and opportunities that others might miss.


• Communication Prowess: You excel at translating complex technical findings into clear, actionable recommendations that resonate with marketing, communications, product, and executive teams.


• Collaborative Spirit: You effectively communicate and collaborate with cross-functional teams across all levels of the organization, influencing without authority and building trusted relationships.


• Consumer Empathy: You possess genuine curiosity about consumer behavior and are passionate about understanding user needs, preferences, and pain points.


• Integrity and Creativity: You demonstrate strong core values including honesty, integrity, and creativity in your approach to problem-solving.


• Growth Mindset: You are energized by challenges and view failures as learning opportunities that drive continuous improvement.

Career Growth and Learning Opportunities

At arenaflex, we are committed to the professional development of our team members. As a Senior Data Scientist, you will have access to:

• Advanced Training: Opportunities to attend industry conferences, workshops, and certification programs in data science, machine learning, and analytics.


• Mentorship: Direct mentorship from senior leaders in the data science and product organizations.


• Cross-Functional Exposure: Exposure to different aspects of the business, including product development, marketing strategy, and engineering.


• Career Pathing: Clear progression pathways to lead data scientist roles, analytics manager positions, or specialized technical tracks.


• Innovation Time: Dedicated time to explore new analytical approaches, tools, and methodologies that could benefit the organization.

Work Environment and Culture

arenaflex offers a flexible, remote-friendly work environment that values work-life balance. As a part-time employee, you will enjoy:

• Flexible Scheduling: The ability to structure your 8-hour workday to fit your personal schedule.


• Remote Work: Work from the comfort of your home office in Tampa or anywhere in the USA.


• Collaborative Culture: A supportive, inclusive culture that encourages knowledge sharing and teamwork.


• Modern Tools: Access to cutting-edge analytics tools, platforms, and technologies.


• Innovation Focus: An environment that rewards creative thinking and data-driven innovation.

Compensation and Benefits

We offer a competitive hourly rate of $25 per hour for this part-time position, along with additional perks including:

• Flexible work arrangements


• Professional development opportunities


• Access to exclusive learning resources and training materials


• Networking opportunities with industry leaders


• Potential for future full-time opportunities based on performance

Join Our Team

At arenaflex, we believe that great products are built by diverse teams with unique perspectives. We are committed to fostering an inclusive environment where everyone can thrive. If you are passionate about data, driven by curiosity, and excited about the opportunity to impact millions of users worldwide, we want to hear from you.

This is a fantastic opportunity to join a dynamic team at the forefront of financial technology innovation. You'll work alongside talented professionals, tackle challenging problems, and make a real difference in how people manage their financial lives.

Don't miss this chance to grow your career with arenaflex – where data meets destiny and analytics powers the future of finance. Apply today and take the first step toward an exciting journey with our team!