Senior Data Scientist – Conversion Intelligence & Advertising Data Systems | arenaflex
Posted 2026-05-06- --
About arenaflex
Welcome to arenaflex, where millions of people around the world come to discover new ideas, dream about possibilities, and plan for the things that matter most to them. Our mission is to help people find inspiration and create a life they love. At arenaflex, we believe in the power of ideas to transform lives, and we're committed to building a platform that empowers both our users and the talented individuals who help us innovate.
We're looking for a Senior Data Scientist to join our Conversion Intelligence team and help shape the future of advertising data systems. In this role, you'll be challenged to tackle meaningful work that upholds our mission and pushes arenaflex forward. You'll develop as a professional and leader in your field while supporting our community of Pinners to make their lives better in the vast corner of the internet we collectively create.
At arenaflex, we embrace a modern work model called "Flex," a term that's uniquely arenaflex to describe our flexible approach to living and working. We believe in empowering our team members to work where they're most productive and creative, whether that's in one of our offices or remotely.
Creating a life you love means finding a career that celebrates the unique perspectives and experiences you bring. As you read through the expectations of this role, consider how your skills and experiences may complement the responsibilities outlined below. We encourage you to think through your relevant and transferable skills from previous work.
The Role: Senior Data Scientist – Conversion Intelligence
Conversion data is the foundation for advertising reporting and advertising machine learning modeling at arenaflex. Ensuring that our conversion data delivers a high signal-to-noise ratio of users' commercial intent is crucial for arenaflex to deliver business value to our advertisers. We are seeking an experienced data scientist to help us shape the approach to conversion data quality and develop solutions for enhancing the data foundation for arenaflex's advertising system.
In this role, you will work on many exciting data science challenges in this new frontier, including how to define and analyze data quality, how to establish causal signals from observational data, and how to unlock the potential of ML model performance through the lens of data-centric AI. This is a unique opportunity to work at the intersection of data science, advertising technology, and product development.
What You'll Do
As a Senior Data Scientist on our Conversion Intelligence team, you will play a pivotal role in advancing arenaflex's advertising capabilities. Your responsibilities will include:
- Deep-Dive Analysis: Conduct comprehensive analysis to discover patterns in real-world user conversion data, identify various data quality issues, and quantify their impact on our advertising system. You'll leverage advanced statistical techniques to uncover hidden patterns and trends that drive business value.
- Causal Inference: Analyze causal connections between users' online behaviors and their conversions, discover causal signals in data, and develop metrics to measure the effectiveness of advertising campaigns. You'll apply both online experimentation and observational study methods to establish cause-and-effect relationships.
- Automated Solutions Design: Design and prototype automated solutions that detect quality issues in our conversion data, develop high-signal training labels and features to improve advertising ML model performance, and collaborate with engineers to integrate them into our advertising system.
- Cross-Functional Collaboration: Work closely with Product and Engineering teams as a thought partner, provide data-informed recommendations that shape the future roadmap and drive the long-term strategy for building a high-quality conversion data foundation.
- Data Quality Leadership: Lead initiatives to establish data quality standards, implement anomaly detection systems, and create robust data governance frameworks that ensure reliability across the organization.
- ML Model Enhancement: Develop and implement machine learning models designed to work with biased, incomplete, or noisy training data, focusing on feature engineering and model evaluation to improve overall system performance.
What We're Looking For
We're seeking a talented data scientist who thrives in a fast-paced, innovative environment and is passionate about solving complex problems at scale. The ideal candidate will have:
Essential Qualifications
- Professional Experience: 3+ years of hands-on experience as a data scientist, applied scientist, or machine learning engineer in a technology company or equivalent research environment.
- Technical Proficiency: Proven ability to apply scientific methods to solve real-world problems on web-scale data. Strong proficiency in SQL/Hive and expertise in at least one scripting language (preferably Python or R).
- Analytical Skills: Strong business and product sense with the ability to shape vague questions into well-defined analyses and success metrics that drive business decisions.
- Communication Skills: Excellent verbal and written communication skills, with the ability to present findings clearly to management and product teams. You should be comfortable translating complex technical concepts into actionable business insights.
- Causal Inference Expertise: Experience in causal inference and measurement, including familiarity with measuring causal impact through both online experimentation and observational studies.
- Data Quality Experience: Experience in data quality-related work, including quality assessment, anomaly detection, data cleaning, and data governance. You should have a strong understanding of how to identify and mitigate data quality issues.
- Machine Learning Skills: Proven ability to design and implement machine learning models, preferably with biased, incomplete, or noisy training data. Deep knowledge of feature design and model assessment is strongly preferred.
- Independent Problem Solving: Proven ability to independently explore an ambiguous domain and shape the product roadmap and strategy through analytical efforts.
Preferred Qualifications
- Advanced degree in Statistics, Computer Science, Mathematics, Economics, or a related quantitative field
- Experience with advertising technology or digital marketing analytics
- Knowledge of privacy-preserving analytical methods
- Familiarity with distributed computing frameworks such as Spark or Hadoop
- Experience working with large-scale advertising data systems
Education Requirements
Bachelor degree in a quantitative field such as Statistics, Computer Science, Mathematics, Economics, or related discipline. Advanced degrees are a plus but not required; equivalent professional experience will be considered.
Compensation & Benefits
At arenaflex, we believe in rewarding our team members for their contributions to our mission. We offer competitive compensation that reflects your skills, experience, and the value you bring to our organization.
- Hourly Rate: $35–$45 USD per hour (commensurate with experience and qualifications)
- Equity: This role is eligible for equity participation, giving you a stake in arenaflex's success
- Flexible Time Off: Generous and flexible vacation and holiday policies that allow you to recharge and stay fresh
- Year-End Closure: Global year-end paid company holiday closure
- Health & Wellness: Comprehensive health benefits for you and your family, including medical, dental, and vision coverage
- Retirement Plans: Retirement plans that allow for tax savings (subject to country of employment)
- Mental Health: Mental health and well-being benefits to support your overall wellness
- Professional Development: Personal and professional development resources to help you grow in your career
- Family Support: Adoption assistance, paid parental leave, egg freezing (in the US), and other family-building benefits
- Perks & Discounts: Various discounts and perks for popular products and services
- Office Amenities: Meals and snacks available in the office (for in-office work days)
Final compensation is based on a range of factors including location, travel, relevant prior experience, or specific skills and expertise. In an attempt to provide more transparency, we're sharing the base salary range for this role.
Work Environment & Culture
At arenaflex, we believe the workplace should be equitable, inclusive, and inspiring for every employee. Our culture is built on mutual respect, collaboration, and a shared commitment to excellence. We embrace diverse perspectives and believe that different backgrounds and experiences make us stronger as an organization.
Our flexible work model, Flex, allows you to work in the way that best supports your productivity and well-being. Whether you prefer working from home, in our offices, or a combination of both, we trust you to find the balance that works for you.
You'll have the opportunity to work with talented colleagues across the globe, tackle meaningful challenges that impact millions of users, and grow professionally in an environment that values innovation and creativity.
Location
This position is based in Arkansas, USA. We are currently accepting applications from candidates located within the United States.
Our Commitment to Diversity
arenaflex is an equal opportunity company and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, covered veteran status, or any other characteristic protected by federal, state, or local law.
We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Join Our Team
If you're passionate about data science, driven by complex challenges, and want to make a meaningful impact at a company that's transforming how people discover ideas, we want to hear from you. Apply today and become part of the team that's helping people create lives they love—one idea at a time.
At arenaflex, your work will challenge you, your colleagues will inspire you, and your contributions will make a real difference. We can't wait to see what you'll bring to our team.