**Part-Time Data Scientist - Machine Learning, Business Analytics & Data Insights (Remote/Austin, TX)**

Join arenaflex as a Part-Time Data Scientist

Are you passionate about transforming raw data into powerful business insights? Do you thrive in environments where your analytical expertise directly impacts product development and customer experience? Welcome to arenaflex — a company where innovation meets purpose, and every data point tells a story that can reshape how we connect with users worldwide.

At arenaflex, we believe that data is more than numbers — it's the key to understanding human needs, creating meaningful experiences, and building products that empower millions. Our Advertising Platforms team is at the forefront of this mission, delivering groundbreaking innovations that help both consumers and creators thrive in an ever-evolving digital landscape. We're not just building advertising technology; we're crafting experiences that inspire, connect, and protect — all while maintaining the uncompromising commitment to privacy and security that defines the arenaflex brand.

About the Role: ML Data Specialist (Data Scientist)

We are seeking a talented and motivated ML Data Specialist to join our Product and User Analytics team within the Advertising Platforms Data Experiences group. This is a part-time, remote-friendly position based in Austin, TX, offering competitive compensation at $25/hour for up to 8 hours daily.

In this critical role, you'll serve as a vital member of a data-driven team dedicated to driving the analysis, evaluation, development, implementation, and optimization of machine learning solutions that are essential to sustaining and growing our business. You'll have the unique opportunity to turn the massive volumes of data generated by user searches, app content, and the Application Store ecosystem into actionable business insights — insights that not only enhance the end-user experience but also drive discovery and success for app developers worldwide.

The Advertising Platforms team at arenaflex makes discovery possible across the App Store, Apple News, Stocks, and Apple TV+. We empower developers and marketers of all sizes to achieve visibility and growth. Our advertising solutions on Apple News and Stocks allow marketers to promote their products in a brand-safe environment that consumers trust, while supporting publishers and content creators. Our sponsorship deals and live sports experiences on Apple TV+ help brands connect with engaged audiences in meaningful ways. Everything we do is guided by our enduring commitment to privacy and security — because when advertising is done right, everyone benefits.

What You'll Do

As an ML Data Specialist at arenaflex, your contributions will directly shape how millions of users discover content and how businesses grow on our platforms. Here's what you can expect:

• Transform Complex Data into Actionable Insights: You'll analyze vast datasets generated from user behavior, app content, and store interactions to uncover patterns, trends, and opportunities that drive strategic decision-making.


• Build and Optimize Machine Learning Models: Develop, implement, and refine ML models that power recommendation engines, search algorithms, and personalization systems used by millions worldwide.


• Design and Maintain Analytics Dashboards: Create intuitive, data-driven dashboards that provide real-time visibility into key performance metrics, enabling stakeholders to monitor and optimize campaigns effectively.


• Conduct A/B Testing and Experimentation: Design, execute, and analyze controlled experiments to test hypotheses, measure impact, and iterate on product features with a rigorous, scientific approach.


• Collaborate Cross-Functionally: Work seamlessly with Product, Engineering, Marketing, Finance, and Strategy teams to translate business needs into data requirements and deliver insights that influence product roadmap decisions.


• Communicate Findings Effectively: Present complex analytical results in clear, compelling narratives to both technical and non-technical stakeholders, influencing strategic direction across the organization.


• Drive Business Value: Apply advanced quantitative techniques — including regression, classification, clustering, and time-series analysis — to solve real-world business challenges and measure feature impact.

Required Qualifications

We're looking for candidates who bring a combination of technical excellence, business acumen, and creative problem-solving skills. To succeed in this role, you should have:

• Educational Background: A Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field. Advanced degrees (Master's or PhD) are a strong plus.


• Professional Experience: At least 6 years of professional experience in data science, preferably in digital advertising, product analytics, or e-commerce environments.


• Technical Proficiency: Strong programming skills in Python and SQL, with hands-on experience working with large-scale datasets.


• Data Engineering Knowledge: Experience with cloud platforms (preferably AWS), data warehouses (Snowflake, Databricks), and business intelligence tools (Tableau, Looker).


• Analytical Expertise: Solid foundation in statistical analysis, including regression, classification, clustering, and time-series forecasting methods.


• Experience with Clickstream Data: Familiarity with analyzing user behavior data from digital platforms and A/B testing methodologies.


• Communication Skills: Ability to translate complex technical findings into clear, actionable business recommendations for diverse audiences.

Preferred Qualifications

While not required, the following experiences and skills will help you stand out:

• Experience working with modern machine learning frameworks (TensorFlow, PyTorch, scikit-learn)


• Background in advertising technology or mobile app ecosystems


• Familiarity with data modeling and warehousing principles


• Experience leading or mentoring junior data scientists


• Knowledge of privacy-preserving analytics techniques

Skills & Competencies for Success

Beyond technical qualifications, we value individuals who embody our cultural values and can thrive in our dynamic environment:

• Curiosity and Intellectual Hunger: You should be passionate about exploring data, asking tough questions, and uncovering the "why" behind the numbers.


• Adaptability: Our environment is fast-paced and continuously evolving. You must be comfortable navigating ambiguity and embracing change.


• Collaboration: Success at arenaflex requires working effectively across teams, sharing knowledge, and contributing to a positive team dynamic.


• Attention to Detail: In data science, precision matters. You should take pride in delivering accurate, well-documented work.


• Problem-Solving Mindset: You approach challenges with creativity and persistence, always seeking elegant solutions to complex problems.


• Customer Focus: Whether internal stakeholders or end users, you keep the customer at the center of your analysis and recommendations.

Career Growth & Learning Opportunities

At arenaflex, your career trajectory is limited only by your ambition. As part of our Analytics community, you'll have access to:

• Professional Development: Continuous learning through internal training programs, conferences, and access to cutting-edge research in AI/ML.


• Mentorship: Work alongside experienced data scientists and engineers who are committed to helping you grow.


• Career Mobility: Exposure to multiple domains (advertising, content, services) provides a broad foundation for future leadership roles.


• Impact at Scale: The work you do directly influences products used by hundreds of millions of people globally.


• Innovation Culture: Freedom to explore new methodologies, propose experiments, and challenge the status quo.

Work Environment & Culture

arenaflex is more than a workplace — it's a community of innovators, dreamers, and doers. Here's what you can expect:

• Flexible Work Arrangements: Enjoy the flexibility of remote work with optional in-office collaboration days in Austin.


• Inclusive Culture: We celebrate diverse perspectives and foster an environment where everyone belongs and can do their best work.


• Work-Life Balance: We support your well-being with generous time-off policies and respect for boundaries.


• State-of-the-Art Tools: You'll have access to the latest technologies, datasets, and computing resources needed to excel.


• Collaborative Spaces: Modern office environments designed for teamwork, creativity, and focus.

Compensation & Benefits

We recognize that great talent deserves great rewards. As a part-time Data Scientist at arenaflex, you'll receive:

• Competitive Hourly Rate: $25/hour with the potential for performance-based adjustments.


• Flexible Schedule: Up to 8 hours daily with flexibility to balance personal commitments.


• Remote Work Options: Work from home with periodic in-person team gatherings.


• Professional Development: Access to learning resources, certifications, and skill-building programs.


• Wellness Support: Comprehensive wellness programs and employee assistance resources.


• Equipment & Setup: Company-provided equipment to set up your home office for success.

Why arenaflex?

When you join arenaflex, you become part of a legacy of innovation that has transformed how the world interacts with technology. We put confidence in the power of development to propel people's lives. Everything we create is designed to empower individuals — from our advertising platform to our content services. We deliver innovations that help both users and creators — helping people find joy, supporting creators, and delivering experiences that inspire confidence.

Our commitment to privacy isn't just a policy — it's a core value. We believe that when advertising is done right, it benefits everyone: users discover relevant content, advertisers reach engaged audiences, and creators are fairly compensated. This principled approach sets us apart in the industry and makes arenaflex a truly unique place to build your career.

Apply Today

If you're ready to join a team that's passionate about data, innovation, and making a real impact, we want to hear from you. This is your opportunity to work on meaningful problems, grow your skills, and be part of something extraordinary.

Don't miss this chance to be part of the arenaflex story. Apply now and take the first step toward an exciting career where your analytical talents can shine!

We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.