**arenaflex Data Scientist Position | $24/Hour | Full-Time | Austin, TX**
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## About arenaflex
At arenaflex, we believe in the transformative power of innovation to improve people's lives. Everything we create is designed to empower individuals—from the devices in your hands to the platforms that connect you with the world. Our advertising ecosystem is no exception. We deliver advertising experiences that benefit both consumers and advertisers, helping people discover content, supporting creators, and protecting everyone's privacy with the unwavering dedication you expect from a technology leader.
Our advertising technology makes meaningful connections possible across the App Store, Apple News, Stocks, and Apple TV. We help developers and marketers of all sizes drive app discovery and engagement. Our performance advertisements on Apple News and Stocks let brands promote their products alongside trusted content in a brand-safe environment while supporting publishers and writers. Sponsorship integrations and experiences in live sports on Apple TV help advertisers connect with captivated audiences. Everything we do is with the steadfast commitment to privacy that defines arenaflex. Because when advertising is done well, it benefits everyone.
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## About the Role
The Advertising Platforms Data Insights team at arenaflex is seeking a talented and passionate Machine Learning Data Scientist to join our Product and Client Analysis Group. This is an exciting opportunity to be part of a team that is passionate about fostering the next generation of analytical solutions working collaboratively across Sales, Marketing, Finance, Product, and Engineering departments.
In this role, you will function as a critical member of a data-driven team to drive the analysis, experimentation, improvement, implementation, and measurement of analytical solutions that are meaningful to business success. You will be responsible for turning the massive amounts of data generated by client searches, app content, and App Store context into business insights that improve the customer experience for the end-user while also driving discovery and profitability for app developers.
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## Key Responsibilities
As a Senior Data Scientist at arenaflex, you will:
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Lead Complex Data Analysis: Conduct sophisticated quantitative analyses including regression, clustering, and time-series analyses to uncover patterns and trends in user behavior and advertising performance.
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Transform Data into Business Insights: Turn the enormous volumes of data generated by client searches, application content, and platform context into actionable business insights that improve user experience and drive profitability.
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Collaborate Cross-Functionally: Work closely with Product, Engineering, Sales, Marketing, and Finance teams to understand business requirements and deliver data-driven solutions that influence overall product strategy.
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Build Predictive Models: Apply advanced techniques including predictive modeling, classification, and product feature influence estimation to solve complex business problems.
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Design and Execute Experiments: Design, implement, and analyze A/B tests and experiments on large datasets to measure the impact of new features and advertising products.
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Develop Reporting Dashboards: Build and maintain reporting dashboards that provide real-time visibility into key performance metrics and business trends.
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Partner with Engineering: Work optimally with engineering partners to meet data needs, translating business requirements into analytical specifications and data pipelines.
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Communicate Findings: Present the results of analyses in a clear and impactful manner to product and service teams to influence overall product strategy and roadmap.
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## Required Qualifications
To succeed in this role, you should have:
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Educational Background: Bachelor's degree in Computer Science, Mathematics, Statistics, Economics, or a related quantitative field. Advanced degrees (Master's or PhD) in these fields are a strong plus.
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Professional Experience: Minimum of 6 years of professional experience in a data science role, preferably in the digital advertising industry or product analytics with hands-on experience working with clickstream data and/or A/B experimentation.
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Technical Proficiency: Strong programming skills in Python and SQL, with experience working in cloud-based data environments such as AWS, Snowflake, Flash, and Tableau.
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Analytical Skills: Deep experience with complex quantitative analysis including regression, clustering, and time-series analyses. Experience with applied techniques such as predictive modeling, classification, and product feature influence estimation.
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Communication Abilities: Excellent ability to communicate the results of analyses in a clear and actionable way with product and service teams to influence overall product strategy.
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Collaboration Skills: Strong ability to work effectively in a fast-paced, highly cross-functional, constantly evolving environment while maintaining attention to detail and quality.
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Data Infrastructure Knowledge: Familiarity with modern data technologies. Knowledge of database modeling and data warehousing principles.
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Experimental Design: Practical experience conducting experiments on large datasets to measure product feature impact and business outcomes.
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## Preferred Qualifications
While not required, the following qualifications would strengthen your application:
- Advanced degree (Master's or PhD) in Computer Science, Mathematics, Statistics, or a related quantitative field
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Knowledge of advertising technology ecosystems and real-time bidding platforms
- Experience with big data processing tools like Spark or Hadoop
- Understanding of privacy-preserving analytical techniques
- Background in mobile app analytics and user acquisition
- Experience working with data visualization tools beyond Tableau
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## Skills and Competencies
We are looking for candidates who demonstrate:
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Analytical Thinking: Ability to approach complex problems systematically and derive meaningful insights from large datasets
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Business Acumen: Understanding of how data insights translate into business value and product decisions
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Problem-Solving Creativity: Ability to develop innovative solutions when standard methods don't fit
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Technical Curiosity: Passion for learning new technologies and staying current with industry trends
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Collaboration Mindset: Enthusiasm for working with diverse teams and sharing knowledge
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Communication Excellence: Ability to translate technical findings into accessible insights for non-technical stakeholders
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Adaptability: Comfort working in a fast-paced, rapidly changing environment
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## Career Growth and Learning Opportunities
At arenaflex, we invest in your professional development and career growth. As a Senior Data Scientist on our team, you will have:
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Leadership Development: Opportunities to mentor junior data scientists and lead cross-functional projects
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Technical Advancement: Access to cutting-edge tools, technologies, and methodologies in data science and machine learning
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Career Pathways: Clear progression paths toward Principal Data Scientist, Data Science Manager, or specialized technical tracks
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Continuous Learning: Support for attending conferences, obtaining certifications, and pursuing advanced education
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Industry Exposure: Experience working with one of the most innovative companies in the technology industry
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Impact at Scale: The opportunity to work on products and features that impact billions of users worldwide
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## Work Environment and Culture
Life at arenaflex means working alongside some of the brightest minds in the technology industry. Our culture is built on:
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Innovation First: We encourage bold thinking and experimentation, knowing that great ideas can come from anywhere
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Collaboration Over Hierarchy: We value diverse perspectives and believe the best solutions emerge from working together
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Privacy Commitment: We are dedicated to protecting user privacy while delivering meaningful advertising experiences
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Work-Life Balance: We support flexible work arrangements and prioritize employee well-being
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Inclusive Environment: We celebrate diversity and create an inclusive workplace where everyone belongs
Successful data science teams at arenaflex consist of data scientists and data engineers working side by side to build educational and professional solutions. As part of our team, you will be a central player in a multi-functional team that delivers insights with direct and measurable impact.
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## Compensation and Benefits
We offer competitive compensation and comprehensive benefits:
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Hourly Rate: $24/hour (commensurate with experience)
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Health & Wellness: Comprehensive health, dental, and vision insurance
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Financial Security: 401(k) retirement plan with company matching
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Professional Development: Generous learning and development budget
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Time Off: Paid time off and holidays
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Remote Flexibility: Flexible work arrangements including remote options
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Perks: Access to exclusive arenaflex products and services
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## How to Apply
We are looking for a curious, collaborative, and hardworking individual to join this exciting team. If you are passionate about data science, thrive in fast-paced environments, and want to make a meaningful impact on products used by millions of people worldwide, we encourage you to apply.
Ready to take the next step in your career? Click the link below to submit your application and join the arenaflex team today!
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arenaflex is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.