Machine Learning Data Scientist – Advertising & App Store Analytics Specialist (Remote/Hybrid)

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Join arenaflex as a Machine Learning Data Scientist

Are you passionate about transforming raw data into actionable business insights? Do you thrive in fast-paced, innovative environments where your analytical skills can make a measurable impact on millions of users worldwide? At arenaflex, we are looking for a talented Machine Learning Data Scientist to join our Advertising Platforms Data Experiences team and help shape the future of digital advertising across our ecosystem.

At arenaflex, we believe that technology should empower people to live better, more connected lives. Everything we build—from our advertising platforms to our consumer products—is designed with this mission in mind. Our advertising technology connects brands with audiences in meaningful ways, helping users discover content they love, supporting creators and publishers, and protecting user privacy. We deliver innovations that benefit both consumers and advertisers, creating a sustainable advertising ecosystem that respects user experience while driving business results.

Our Advertising Platforms team makes it possible for users to discover relevant ads on the App Store, Apple News, Stocks, and Apple TV+. We help developers and advertisers of all sizes drive app discovery through our sophisticated advertising solutions. Our sponsored search ads on the App Store connect users with apps that match their needs, while our display advertising on Apple News and Stocks allows marketers to promote their products alongside trusted, premium content in a brand-safe environment. We are committed to privacy-first advertising that benefits everyone—because when advertising is done right, it serves everyone.

About the Team

The Advertising Platforms Data Experiences group is seeking an ML Data Scientist to join the Product and Consumer Analytics Team. This team is passionate about driving the next generation of intelligent solutions across Product, Advertising, Finance, and Planning. In this role, you will serve as a critical member of a data-driven team responsible for the research, evaluation, enhancement, implementation, and assessment of statistical models that are essential to maintaining and growing our advertising business.

You will turn the massive volumes of data generated by user searches, app content, and the App Store ecosystem into business insights that improve the consumer experience while driving discovery and effectiveness for app developers. Your work will directly influence product strategy and help shape the future of digital advertising.

Key Responsibilities

• Data Analysis & Insights: Analyze large-scale datasets from user searches, application content, and App Store interactions to derive meaningful business insights that inform product strategy and advertising solutions.


• Statistical Modeling: Develop and implement advanced statistical models, including regression, classification, clustering, and time-series analyses, to solve complex business problems and predict user behavior.


• A/B Experimentation: Design, execute, and evaluate A/B tests and controlled experiments to measure the impact of new features, algorithms, and advertising products.


• Cross-Functional Collaboration: Work closely with product managers, engineers, marketing teams, and business leaders to translate business requirements into data-driven solutions and analytical frameworks.


• Dashboard Development: Create and maintain insightful dashboards and reporting tools that communicate key metrics and trends to stakeholders across the organization.


• Data Pipeline Optimization: Collaborate with data engineers to ensure data quality, accessibility, and efficiency for analytics and machine learning initiatives.


• ML Model Deployment: Support the deployment and monitoring of machine learning models in production environments, ensuring model performance and accuracy over time.


• Business Impact: Translate analytical findings into clear, compelling narratives that influence product roadmaps and drive strategic decision-making.

Essential Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field (Master's degree preferred).


• Minimum of 3 years of professional experience in data science, preferably in digital advertising, e-commerce, or product analytics.


• Hands-on experience working with clickstream data and user behavior analytics.


• Strong proficiency in Python and SQL, with the ability to write efficient, production-quality code.


• Experience with cloud platforms (preferably AWS) and big data technologies such as Snowflake, Spark, or similar distributed computing frameworks.


• Experience with data visualization tools such as Tableau, Looker, or equivalent.


• Strong background in experimental design and A/B testing methodologies.


• Excellent communication skills with the ability to present complex technical findings to non-technical stakeholders.


• Ability to thrive in a fast-paced, cross-functional environment with shifting priorities.

Preferred Qualifications

• Advanced degree (Master's or PhD) in Statistics, Computer Science, Applied Mathematics, or related field.


• Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.


• Knowledge of advertising technology ecosystem, including programmatic advertising, real-time bidding, or demand-side platforms.


• Familiarity with data warehousing concepts and modern data architecture patterns.


• Experience working with large-scale distributed systems and handling petabyte-level datasets.


• Understanding of privacy-preserving techniques and data governance best practices.

Skills & Competencies

• Analytical Thinking: Strong problem-solving abilities with a data-driven approach to tackling complex business challenges.


• Technical Depth: Deep knowledge of statistical modeling, machine learning algorithms, and data mining techniques.


• Business Acumen: Ability to understand business context and translate analytical findings into actionable recommendations.


• Collaboration: Effective working relationships with cross-functional teams and ability to influence stakeholders at all levels.


• Communication: Exceptional written and verbal communication skills, with the ability to tell compelling stories with data.


• Adaptability: Comfortable working in a dynamic, rapidly evolving environment with ambiguous requirements.


• Initiative: Self-motivated with a passion for continuous learning and staying current with industry trends.

Career Growth & Learning Opportunities

At arenaflex, we invest in your professional development and provide numerous opportunities for growth. As part of our team, you will have access to:

• Cutting-Edge Technology: Work with the latest tools and platforms in big data, machine learning, and cloud computing.


• Learning & Development: Comprehensive training programs, conferences, and certifications to enhance your technical and leadership skills.


• Career Advancement: Clear career pathways for growth into senior data scientist, lead analyst, or management roles.


• Mentorship: Access to experienced mentors who will guide your career development.


• Cross-Functional Exposure: Opportunities to work with teams across product, engineering, marketing, and finance.


• Industry Leadership: Be part of a team that is shaping the future of privacy-first advertising and digital media.

Work Environment & Culture

arenaflex is committed to creating an inclusive, innovative workplace where diverse perspectives are celebrated. We believe the best ideas come from collaborative environments where everyone feels empowered to share their thoughts. Our culture emphasizes:

• Innovation: We encourage experimentation and creative problem-solving to push boundaries.


• Work-Life Balance: Flexible work arrangements including remote and hybrid options to support your well-being.


• Inclusivity: A diverse team that values different backgrounds, experiences, and viewpoints.


• Integrity: A commitment to ethical practices, user privacy, and transparency in everything we do.


• Excellence: High standards for quality and continuous improvement.

You'll join a team of passionate data scientists, engineers, and business analysts who are dedicated to creating advertising experiences that respect user privacy while delivering value to advertisers and users alike.

Compensation & Benefits

arenaflex offers competitive compensation packages that reflect the value we place on top talent. In addition to a competitive salary, we provide a comprehensive benefits package including:

• Health, dental, and vision insurance coverage.


• Retirement savings plans with company matching.


• Generous paid time off and holidays.


• Employee stock purchase plans.


• Wellness programs and resources.


• Professional development reimbursement.


• Relocation assistance for eligible candidates.

Location

This position offers flexible work arrangements, including remote and hybrid options. Our primary office locations include Austin, TX, and we welcome candidates from across the United States to apply.

Apply Today

If you are excited about the opportunity to work with massive datasets, build innovative machine learning solutions, and make a real impact on the future of digital advertising, we want to hear from you! At arenaflex, you will be part of a team that is transforming how brands connect with consumers in meaningful, privacy-conscious ways.

Join us and be part of something extraordinary. Apply now to become a Machine Learning Data Scientist at arenaflex and help us build the future of advertising technology.

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