Job Title: ML Data Scientist – Advertising Platform Insights & Analytics | arenaflex
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Join arenaflex as an ML Data Scientist – Advertising Platform Insights
Are you ready to be part of a team that's transforming how technology connects people with meaningful experiences? At arenaflex, we believe in the extraordinary power of innovation to enrich lives and shape the future of digital interaction. We're not just building products—we're crafting experiences that empower users, support creators, and protect privacy every single day. Our advertising platform stands at the intersection of technology, creativity, and user trust, delivering value to both consumers and advertisers while maintaining the highest standards of privacy and security.
About the Role
The Promotion Platforms Data Experiences team at arenaflex is seeking a talented ML Data Scientist to join our Product and Client Analysis Group. This is an extraordinary opportunity to work at the cutting edge of data science and digital advertising, where you'll play a pivotal role in transforming vast amounts of raw data into actionable business insights that drive meaningful user experiences and advertiser success.
In this position, you will function as a critical member of a data-driven team dedicated to the analysis, experimentation, enhancement, implementation, and measurement of analytical solutions that directly impact our business. You'll be responsible for turning the enormous volumes of data generated by user searches, app content, and platform contexts into powerful business insights that improve the end-user experience while simultaneously driving app discovery and profitability for developers.
Key Responsibilities
Data Analysis & Insight Generation: Analyze massive datasets derived from user behavior, application content, and platform interactions to identify trends, patterns, and opportunities that enhance our advertising ecosystem
Machine Learning Model Development: Build and deploy predictive models, classification algorithms, and recommendation systems that power our advertising technology stack
Business Intelligence: Translate complex quantitative findings into clear, actionable business recommendations that influence product strategy and roadmap decisions
Cross-Functional Collaboration: Partner closely with Sales, Marketing, Finance, Product, and Engineering teams to deliver data-driven solutions that meet evolving business needs
A/B Testing & Experimentation: Design, execute, and analyze large-scale experiments to validate hypotheses and measure the impact of new features and advertising products
Dashboard & Reporting: Develop comprehensive reporting dashboards and automated analytics pipelines that enable stakeholders to monitor key performance indicators and make informed decisions
Data Infrastructure: Collaborate with engineering partners to ensure robust data pipelines and infrastructure that support analytical workloads at scale
Privacy-First Analytics: Apply privacy-preserving techniques and methodologies that align with our unwavering commitment to user privacy and data protection
Essential Qualifications
Educational Background: Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field. Advanced degrees (Master's or PhD) are highly valued but not required
Professional Experience: Minimum of 6 years of professional experience in data science, machine learning, or quantitative analysis roles
Industry Experience: Strong preference for candidates with experience in digital advertising, ad tech, or product analytics, particularly those familiar with clickstream data and A/B testing methodologies
Technical Proficiency:
Advanced programming skills in Python and SQL
Experience with cloud platforms such as AWS, Google Cloud Platform, or Azure
Proficiency with modern data warehousing solutions (Snowflake, BigQuery, Redshift)
Familiarity with visualization tools like Tableau, Looker, or Power BI
Analytical Expertise: Deep experience with complex quantitative analyses including regression modeling, clustering, classification, time-series analysis, and causal inference
Communication Skills: Exceptional ability to communicate complex technical findings to non-technical stakeholders in clear, compelling narratives that drive action
Adaptability: Comfortable working in a fast-paced, highly cross-functional environment with evolving priorities and requirements
Preferred Qualifications
Advanced degree (Master's or PhD) in Computer Science, Mathematics, Statistics, or related field
Experience with large-scale distributed computing frameworks (Spark, Hadoop)
Knowledge of advertising technology ecosystem and programmatic advertising concepts
Experience with recommendation systems and personalization algorithms
Familiarity with privacy-preserving machine learning techniques
Strong background in experimental design and statistical hypothesis testing
Skills & Competencies for Success
Analytical Thinking: Ability to approach complex problems with rigor and creativity, synthesizing insights from diverse data sources
Business Acumen: Understanding of how data science initiatives translate into measurable business value
Collaboration: Natural inclination toward teamwork and cross-functional partnership
Curiosity: Passion for exploring data, asking challenging questions, and pushing the boundaries of what's possible
Communication: Mastery of both technical writing and verbal presentation for varied audiences
Self-Motivation: Ability to take ownership of projects and drive them to completion with minimal supervision
Career Growth & Learning Opportunities
At arenaflex, we invest heavily in the growth and development of our team members. As an ML Data Scientist in our Promotion Platforms organization, you'll have access to:
Technical Leadership Pathways: Clear progression routes to senior data scientist, staff scientist, or principal engineer roles
Cross-Functional Exposure: Opportunities to work with teams across Product, Engineering, Marketing, and Finance
Continuous Learning: Access to internal training programs, conferences, and certifications
Cutting-Edge Technology: Work with the latest tools and platforms in big data, machine learning, and cloud computing
Impactful Work: See your analysis and models directly influence products used by millions of users worldwide
Work Environment & Culture
arenaflex is more than a workplace—it's a community of innovators, dreamers, and doers who are passionate about creating technology that matters. We foster a culture of collaboration, creativity, and intellectual curiosity where every voice matters. Our team values:
Innovation: Encouragement to explore new ideas and challenge the status quo
Inclusivity: A diverse environment where unique perspectives are celebrated
Work-Life Balance: Flexible work arrangements including remote and hybrid options
Transparency: Open communication and access to leadership
Privacy Commitment: An unwavering dedication to protecting user data and privacy
You'll be joining a team that combines the rigor of scientific methodology with the creativity of product development—all while maintaining the steadfast commitment to privacy that users and regulators expect from an industry leader.
Compensation & Benefits
We recognize that exceptional talent deserves exceptional rewards. arenaflex offers a comprehensive compensation package that includes:
Competitive Salary: $24/hour ($49,920 annually) for this entry-level position, with significant growth potential
Stock Options: Equity participation in our company's success
Health & Wellness: Comprehensive medical, dental, and vision insurance
Retirement Benefits: 401(k) plan with company matching
Paid Time Off: Generous vacation, sick leave, and personal days
Professional Development: Tuition reimbursement and career development resources
Remote Work Flexibility: Options to work remotely or from our Austin office
Why arenaflex?
When you join arenaflex, you become part of something bigger. Our advertising platform powers experiences across the App Store, Apple News, Stocks, and Apple TV. We help developers and advertisers of all sizes drive app discovery while maintaining a brand-safe environment that respects user privacy. Our sponsorship integrations and experiences in live sports connect advertisers with engaged audiences—all delivered with the privacy-first approach that defines who we are.
We believe that when advertising is done well, it benefits everyone: users discover content they love, creators find audiences for their work, and advertisers achieve meaningful results. If you're passionate about data science, machine learning, and building products that respect and empower users, arenaflex is the place for you.
How to Apply
If you're ready to join a team that's shaping the future of digital advertising while working with cutting-edge technology, we want to hear from you. Apply today and take the first step toward an exciting career at arenaflex.
arenaflex is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Join arenaflex as an ML Data Scientist – Advertising Platform Insights
Are you ready to be part of a team that's transforming how technology connects people with meaningful experiences? At arenaflex, we believe in the extraordinary power of innovation to enrich lives and shape the future of digital interaction. We're not just building products—we're crafting experiences that empower users, support creators, and protect privacy every single day. Our advertising platform stands at the intersection of technology, creativity, and user trust, delivering value to both consumers and advertisers while maintaining the highest standards of privacy and security.
About the Role
The Promotion Platforms Data Experiences team at arenaflex is seeking a talented ML Data Scientist to join our Product and Client Analysis Group. This is an extraordinary opportunity to work at the cutting edge of data science and digital advertising, where you'll play a pivotal role in transforming vast amounts of raw data into actionable business insights that drive meaningful user experiences and advertiser success.
In this position, you will function as a critical member of a data-driven team dedicated to the analysis, experimentation, enhancement, implementation, and measurement of analytical solutions that directly impact our business. You'll be responsible for turning the enormous volumes of data generated by user searches, app content, and platform contexts into powerful business insights that improve the end-user experience while simultaneously driving app discovery and profitability for developers.
Key Responsibilities
Data Analysis & Insight Generation: Analyze massive datasets derived from user behavior, application content, and platform interactions to identify trends, patterns, and opportunities that enhance our advertising ecosystem
Machine Learning Model Development: Build and deploy predictive models, classification algorithms, and recommendation systems that power our advertising technology stack
Business Intelligence: Translate complex quantitative findings into clear, actionable business recommendations that influence product strategy and roadmap decisions
Cross-Functional Collaboration: Partner closely with Sales, Marketing, Finance, Product, and Engineering teams to deliver data-driven solutions that meet evolving business needs
A/B Testing & Experimentation: Design, execute, and analyze large-scale experiments to validate hypotheses and measure the impact of new features and advertising products
Dashboard & Reporting: Develop comprehensive reporting dashboards and automated analytics pipelines that enable stakeholders to monitor key performance indicators and make informed decisions
Data Infrastructure: Collaborate with engineering partners to ensure robust data pipelines and infrastructure that support analytical workloads at scale
Privacy-First Analytics: Apply privacy-preserving techniques and methodologies that align with our unwavering commitment to user privacy and data protection
Essential Qualifications
Educational Background: Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field. Advanced degrees (Master's or PhD) are highly valued but not required
Professional Experience: Minimum of 6 years of professional experience in data science, machine learning, or quantitative analysis roles
Industry Experience: Strong preference for candidates with experience in digital advertising, ad tech, or product analytics, particularly those familiar with clickstream data and A/B testing methodologies
Technical Proficiency:
Advanced programming skills in Python and SQL
Experience with cloud platforms such as AWS, Google Cloud Platform, or Azure
Proficiency with modern data warehousing solutions (Snowflake, BigQuery, Redshift)
Familiarity with visualization tools like Tableau, Looker, or Power BI
Analytical Expertise: Deep experience with complex quantitative analyses including regression modeling, clustering, classification, time-series analysis, and causal inference
Communication Skills: Exceptional ability to communicate complex technical findings to non-technical stakeholders in clear, compelling narratives that drive action
Adaptability: Comfortable working in a fast-paced, highly cross-functional environment with evolving priorities and requirements
Preferred Qualifications
Advanced degree (Master's or PhD) in Computer Science, Mathematics, Statistics, or related field
Experience with large-scale distributed computing frameworks (Spark, Hadoop)
Knowledge of advertising technology ecosystem and programmatic advertising concepts
Experience with recommendation systems and personalization algorithms
Familiarity with privacy-preserving machine learning techniques
Strong background in experimental design and statistical hypothesis testing
Skills & Competencies for Success
Analytical Thinking: Ability to approach complex problems with rigor and creativity, synthesizing insights from diverse data sources
Business Acumen: Understanding of how data science initiatives translate into measurable business value
Collaboration: Natural inclination toward teamwork and cross-functional partnership
Curiosity: Passion for exploring data, asking challenging questions, and pushing the boundaries of what's possible
Communication: Mastery of both technical writing and verbal presentation for varied audiences
Self-Motivation: Ability to take ownership of projects and drive them to completion with minimal supervision
Career Growth & Learning Opportunities
At arenaflex, we invest heavily in the growth and development of our team members. As an ML Data Scientist in our Promotion Platforms organization, you'll have access to:
Technical Leadership Pathways: Clear progression routes to senior data scientist, staff scientist, or principal engineer roles
Cross-Functional Exposure: Opportunities to work with teams across Product, Engineering, Marketing, and Finance
Continuous Learning: Access to internal training programs, conferences, and certifications
Cutting-Edge Technology: Work with the latest tools and platforms in big data, machine learning, and cloud computing
Impactful Work: See your analysis and models directly influence products used by millions of users worldwide
Work Environment & Culture
arenaflex is more than a workplace—it's a community of innovators, dreamers, and doers who are passionate about creating technology that matters. We foster a culture of collaboration, creativity, and intellectual curiosity where every voice matters. Our team values:
Innovation: Encouragement to explore new ideas and challenge the status quo
Inclusivity: A diverse environment where unique perspectives are celebrated
Work-Life Balance: Flexible work arrangements including remote and hybrid options
Transparency: Open communication and access to leadership
Privacy Commitment: An unwavering dedication to protecting user data and privacy
You'll be joining a team that combines the rigor of scientific methodology with the creativity of product development—all while maintaining the steadfast commitment to privacy that users and regulators expect from an industry leader.
Compensation & Benefits
We recognize that exceptional talent deserves exceptional rewards. arenaflex offers a comprehensive compensation package that includes:
Competitive Salary: $24/hour ($49,920 annually) for this entry-level position, with significant growth potential
Stock Options: Equity participation in our company's success
Health & Wellness: Comprehensive medical, dental, and vision insurance
Retirement Benefits: 401(k) plan with company matching
Paid Time Off: Generous vacation, sick leave, and personal days
Professional Development: Tuition reimbursement and career development resources
Remote Work Flexibility: Options to work remotely or from our Austin office
Why arenaflex?
When you join arenaflex, you become part of something bigger. Our advertising platform powers experiences across the App Store, Apple News, Stocks, and Apple TV. We help developers and advertisers of all sizes drive app discovery while maintaining a brand-safe environment that respects user privacy. Our sponsorship integrations and experiences in live sports connect advertisers with engaged audiences—all delivered with the privacy-first approach that defines who we are.
We believe that when advertising is done well, it benefits everyone: users discover content they love, creators find audiences for their work, and advertisers achieve meaningful results. If you're passionate about data science, machine learning, and building products that respect and empower users, arenaflex is the place for you.
How to Apply
If you're ready to join a team that's shaping the future of digital advertising while working with cutting-edge technology, we want to hear from you. Apply today and take the first step toward an exciting career at arenaflex.
arenaflex is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.