About arenaflex

At arenaflex, we believe in the transformative power of technology to enhance people's lives. Our mission centers on creating meaningful connections between people and the innovations they need. Every product we develop, every platform we build, and every solution we deliver is designed with our users at the core. Our advertising platform serves millions of users daily across multiple touchpoints, and we're committed to delivering experiences that benefit both consumers and advertisers while maintaining the highest standards of privacy and security.

When advertising works well, it benefits everyone—connecting people with content they need, supporting creators and publishers, and enabling businesses to grow in a brand-safe environment. Our team works tirelessly to ensure that every interaction on our platform adds genuine value to the user experience while helping advertisers achieve their goals through innovative solutions.

Join Our Team

The Advertising Platforms Data Insights team at arenaflex is searching for a talented Machine Learning Data Scientist to join our Product and Client Analytics group. This team is passionate about fostering the next generation of analytical solutions that drive decisions across Product, Marketing, Finance, and Planning. As a key member of this dynamic group, you will play a critical role in transforming raw data into actionable business insights that shape the future of our advertising ecosystem.

What You'll Do

In this position, you will work as an essential contributor to a data-driven team dedicated to research, evaluation, development, implementation, and assessment of analytical strategies crucial to business success. Your work will involve turning the massive amounts of data generated by user searches, application content, and platform context into business insights that enhance the end-user experience while driving discovery and efficiency for application developers.

Key Responsibilities:

Data Analysis & Insights: Analyze complex datasets derived from user behavior, application content, and platform interactions to uncover patterns and trends that inform business strategy
Machine Learning Model Development: Build and deploy machine learning models to solve business problems, including user segmentation, recommendation systems, and predictive analytics
Business Intelligence: Transform analytical findings into clear, compelling narratives that influence product roadmaps and drive strategic decisions across the organization
Cross-functional Collaboration: Work closely with product managers, engineers, marketing teams, and finance to understand business needs and translate them into data requirements
Experimentation Design: Design, implement, and analyze A/B tests and other experiments to measure the impact of new features and improvements
Dashboard & Reporting: Create and maintain analytical dashboards and reports that provide ongoing visibility into key metrics and performance indicators
Data Pipeline Optimization: Collaborate with data engineers to ensure data quality and accessibility for analytical purposes
Quantitative Analysis: Apply advanced statistical methods including regression analysis, clustering, time-series analysis, and other predictive modeling techniques

What We're Looking For

We are seeking a candidate who thrives in a fast-paced, collaborative environment and is passionate about using data to drive real business impact. The ideal candidate will have a strong foundation in quantitative methods and the creativity to develop innovative solutions to complex problems.

Essential Qualifications:

Educational Background: Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field
Professional Experience: Minimum of 2 years of professional experience in data science, preferably in digital advertising, product analytics, or a similar data-intensive environment
Technical Proficiency: Strong programming skills in Python and SQL, with experience working with large-scale datasets
Cloud & Tool Experience: Familiarity with cloud platforms (AWS preferred), data warehousing solutions (Snowflake), and visualization tools (Tableau or similar)
Statistical Knowledge: Solid foundation in quantitative analysis methods including regression, classification, clustering, and time-series analysis
Communication Skills: Ability to present complex analytical findings in clear, compelling ways to both technical and non-technical audiences
Collaboration: Experience working effectively with cross-functional teams and translating business requirements into analytical solutions

Preferred Qualifications:

Advanced degree (Master's or PhD) in Computer Science, Statistics, Mathematics, or a related quantitative field
Hands-on experience with clickstream data and digital advertising metrics
Experience with A/B testing and experimental design at scale
Knowledge of data modeling and data warehousing principles
Familiarity with big data technologies and distributed computing frameworks
Experience in the mobile app or digital advertising industry
Background in applied machine learning, recommendation systems, or natural language processing

Skills & Competencies

Success in this role requires a unique blend of technical expertise, business acumen, and interpersonal skills. We value candidates who bring:

Analytical Thinking: The ability to approach complex problems systematically, identify patterns in data, and derive actionable insights

Technical Curiosity: A passion for learning new technologies and staying current with industry trends in data science and machine learning

Problem-Solving Agility: The creativity to design and implement solutions when standard approaches don't apply

Communication Excellence: Strong written and verbal skills to convey technical concepts to diverse audiences

Business Orientation: Understanding of how data insights translate into business value

Adaptability: Comfortable working in a rapidly evolving environment with changing priorities

Initiative: Self-motivated with the ability to drive projects forward with minimal supervision

Career Growth & Learning Opportunities

At arenaflex, we are committed to the professional development of our team members. This role offers exceptional opportunities for career growth and skill development in several ways:

Technical Advancement: You'll work with cutting-edge technologies and massive datasets, gaining hands-on experience with industry-leading tools and platforms. Our team encourages continuous learning and provides access to training resources, conferences, and certification programs.

Leadership Development: As you demonstrate your capabilities, you'll have opportunities to take on additional responsibilities, lead projects, and mentor junior team members. We support career progression into senior technical roles or management positions based on your interests and strengths.

Cross-functional Exposure: Working with teams across Product, Engineering, Marketing, and Finance will give you a broad understanding of how a technology company operates and how data drives decision-making at every level.

Industry Expertise: You'll gain deep knowledge of the digital advertising ecosystem, including app store dynamics, mobile marketing, and platform analytics—skills that are highly valuable in today's tech landscape.

Work Environment & Culture

arenaflex offers a collaborative, innovation-driven work environment where your contributions truly matter. We believe that diverse perspectives drive better outcomes, and we welcome team members from all backgrounds who bring unique viewpoints and experiences.

Our Culture Values:

Innovation: We encourage creative thinking and experimentation, understanding that breakthrough ideas often come from trying new approaches

Integrity: We are committed to ethical data practices and user privacy, maintaining the trust that our users place in us

Collaboration: We work together across teams and disciplines, knowing that the best solutions emerge from diverse perspectives

Impact: We focus on work that creates meaningful outcomes for our users, advertisers, and the broader ecosystem

Growth Mindset: We embrace challenges as opportunities to learn and improve, both individually and as a team

We support work-life balance and offer flexible arrangements to help our team members thrive both professionally and personally.

Compensation & Benefits

arenaflex offers competitive compensation and comprehensive benefits designed to support your wellbeing and professional growth:

Competitive Salary: The pay range for this position is $20-30 per hour, commensurate with experience and qualifications

Health & Wellness: Comprehensive health insurance coverage including medical, dental, and vision plans

Retirement Plans: 401(k) retirement savings plan with company matching

Professional Development: Generous budget for training, certifications, and conference attendance

Paid Time Off: Flexible PTO policy to support work-life balance

Remote Work: This position offers remote work flexibility, allowing you to work from anywhere while staying connected with your team

Parental Leave: Comprehensive parental leave for new parents

Employee Assistance Program: Resources to support mental health and wellbeing

Join Us

If you're passionate about data, thrive in collaborative environments, and want to make a real impact with your analytical skills, we'd love to hear from you. At arenaflex, you'll have the opportunity to work on meaningful problems, grow your career, and be part of a team that's shaping the future of digital advertising.

We are looking for curious, motivated individuals who are ready to tackle challenges and contribute to our mission of creating positive connections through technology. If you have the skills and passion we're looking for, we encourage you to apply and become part of our team.

Take the next step in your career and join us in building the future of advertising at arenaflex. We can't wait to see what you'll accomplish!

Data Scientist – Machine Learning & Business Analytics – arenaflex Advertising Platform