Experienced Business Data Scientist – Causal Inference, Impact Measurement & Strategic Analytics | YouTube Business Strategy Operations

Join arenaflex as a Business Data Scientist – Shape the Future of Global Video

Are you passionate about transforming complex data into actionable business insights? Do you thrive on solving challenging problems that impact millions of users worldwide? arenaflex is seeking a talented and motivated Business Data Scientist to join our dynamic YouTube Business Strategy and Operations team, where you'll play a pivotal role in driving data-informed decision-making across one of the world's most influential digital platforms.

At arenaflex, we believe that great decisions are powered by great data. As part of our Impact Measurement group, you'll have the unique opportunity to work at the intersection of analytics, strategy, and product development, helping to shape the future of how billions of people connect, learn, and share through video. This isn't just another data job – it's a chance to make a tangible impact on global digital culture while working with world-class tools, talented colleagues, and cutting-edge methodologies.

About arenaflex and YouTube

YouTube has grown into a global network where people from every corner of the world access information, share their stories, and shape culture. The YouTube community enables budding creators to build successful careers, helps artists and media companies reach their audiences, creates beloved products like YouTube Kids, YouTube Music, and YouTube TV, and engages communities around shared passions and global conversations. Together, we empower the world to create, broadcast, and share.

The YouTube Business Strategy and Operations group is responsible for driving all go-to-market capabilities for the YouTube Business Organization, including strategy and business operations, analytics and data science, partnership enablement, and product activation. Our team is responsible for shaping go-to-market priorities to accelerate growth and support the business accordingly, improving capabilities and competencies to support execution of business priorities, driving performance across business operations, and building great go-to-market infrastructure including data, reports, and dashboards. This group combines deep strategic, operational, and problem-solving capabilities with practical experience of how to get things done and drive change across a global organization.

About the Role

As a Business Data Scientist at the Impact Measurement group, you will be tasked with supporting YouTube to make better decisions. Specifically, your job will be to speak on data's behalf and assist decision-makers in becoming more data-driven. You will translate vague questions into concrete business questions, design research to answer those questions, and communicate findings to non-technical audiences while being transparent about uncertainty and the assumptions used in your analysis.

This role offers the exciting opportunity to work on some of the most challenging and impactful problems in the technology industry today. You'll collaborate with cross-functional partners across product, engineering, marketing, and executive leadership to drive strategic initiatives that affect how YouTube serves its global community.

Key Responsibilities

• Design and Lead Research: Design and lead informal research with the clear goal of answering complex business questions. You'll develop research frameworks, define methodologies, and ensure analytical rigor in all your work.


• Present Actionable Insights: Present and communicate actionable insights and recommendations to executives, business leaders, and cross-functional partners. Translate complex statistical findings into clear, compelling narratives that drive decision-making.


• Peer Review and Collaboration: Serve as a peer-reviewer and representative for causal research designed by other teams. Foster a culture of analytical excellence and knowledge sharing across the organization.


• Stay Current with Industry Advances: Stay updated with advances in the causal inference literature and data science community. Develop and implement new techniques when appropriate to improve our analytical capabilities.


• Cross-Functional Partnership: Work closely with product managers, engineers, and business stakeholders to understand their needs and provide data-driven solutions that align with business objectives.


• Methodology Development: Contribute to building reusable analytical frameworks, templates, and best practices that can be applied across different business contexts.

Minimum Qualifications

• Master's degree or higher in Computer Science, Mathematics, Applied Data Science, Statistics, Machine Learning, or equivalent practical experience.


• Experience with articulating business and product questions, and pulling data from datasets using SQL and statistical tools such as R, SAS, Stata, MATLAB, or Python.


• Internship or professional experience with data analysis, including the ability to clean, transform, and analyze large datasets.


• Strong communication skills with the ability to present technical findings to non-technical audiences.


• Demonstrated ability to work independently and as part of a collaborative team.


• Experience with statistical modeling and hypothesis testing.

Preferred Qualifications

• Experience with Bayesian hierarchical models, Bayesian Additive Regression Trees (BART), Bayesian Causal Forest (BCF), Gaussian Processes, and Synthetic Control techniques.


• Experience designing and analyzing randomized controlled trials (A/B tests) in industry or research settings.


• Experience designing and analyzing causal research using observational data, including difference-in-differences, regression discontinuity, and instrumental variable approaches.


• Experience with advanced statistical data analysis including linear models, multivariate analysis, stochastic models, and sampling techniques.


• Knowledge of machine learning algorithms and their application to business problems.


• Experience with cloud computing platforms and big data technologies.


• Published research or contributions to open-source projects in statistics, causal inference, or machine learning.

Skills and Competencies Required for Success

• Analytical Thinking: Strong ability to break down complex problems, identify root causes, and develop data-driven solutions.


• Statistical Expertise: Deep knowledge of statistical methods, experimental design, and causal inference techniques.


• Technical Proficiency: Advanced SQL skills and proficiency in at least one statistical programming language (R, Python, or similar).


• Communication Skills: Exceptional ability to translate technical concepts into business language and present findings effectively.


• Business Acumen: Understanding of business strategy, product development, and go-to-market dynamics.


• Collaboration: Proven track record of working effectively with cross-functional teams and influencing stakeholders.


• Intellectual Curiosity: Passion for learning new methods, staying current with industry research, and applying innovative approaches.

Career Growth Opportunities and Learning Benefits

At arenaflex, we invest heavily in the growth and development of our employees. As a Business Data Scientist, you'll have access to:

• Professional Development: Comprehensive training programs, workshops, and conferences to enhance your technical and leadership skills.


• Career Advancement: Clear career pathways toward senior data scientist roles, technical leadership positions, or management tracks.


• Mentorship: Access to experienced mentors both within and outside your immediate team who can guide your career progression.


• Cutting-Edge Projects: Opportunity to work on high-impact projects that push the boundaries of what's possible in data science and causal inference.


• Learning Culture: Regular tech talks, paper reading groups, and knowledge sharing sessions to stay at the forefront of the field.


• Internal Mobility: Possibility to explore different roles across arenaflex's various business units and product areas.

Work Environment and Company Culture

arenaflex is committed to fostering a dynamic, inclusive, and innovative work environment. We believe that diverse perspectives drive better outcomes, and we're proud to maintain a culture where everyone feels valued and empowered to contribute.

Our culture is built on several core principles:

• Innovation First: We encourage experimentation, calculated risk-taking, and learning from both successes and failures.


• Collaboration Over Competition: We believe the best solutions emerge when talented people work together across boundaries.


• User-Centric Focus: Everything we do is guided by what's best for our users and the broader community.


• Integrity and Transparency: We hold ourselves to the highest ethical standards and communicate openly with each other and our stakeholders.


• Work-Life Balance: We support flexible work arrangements that help our employees thrive both professionally and personally.

As a remote-friendly organization, arenaflex provides the flexibility to work from various locations while maintaining strong connections with your team through advanced collaboration tools and regular virtual interactions. We believe in hiring the best talent regardless of location and equipping our employees with everything they need to succeed.

Compensation, Perks, and Benefits

arenaflex offers competitive compensation packages that reflect the value we place on top talent. The US base salary range for this full-time role is $124,000-$182,000 plus bonus, equity, and comprehensive benefits. Our salary ranges are determined by position, level, and location, and we ensure fair and transparent compensation practices.

Our comprehensive benefits package includes:

• Health and Wellness: Comprehensive health insurance (medical, dental, vision), mental health support, and wellness programs.


• Financial Security: Competitive 401(k) matching, life insurance, and disability coverage.


• Time Off: Generous paid time off, parental leave, and holidays to recharge and maintain work-life balance.


• Professional Growth: Learning and development stipends, tuition reimbursement, and access to online learning platforms.


• Equity: Equity participation programs that allow you to share in arenaflex's success.


• Perks: Monthly wellness allowances, commuter benefits, and access to exclusive perks and discounts.

Why Join arenaflex?

Joining arenaflex means becoming part of a company that's transforming how the world connects and shares information. You'll work alongside some of the brightest minds in the industry, tackle challenges that have real impact, and help build products that billions of people use every day. Whether you're passionate about data science, product development, or business strategy, arenaflex offers a place where you can grow, learn, and make a difference.

We especially welcome candidates who are excited about working on complex analytical problems, thrive in collaborative environments, and are passionate about using data to drive meaningful business outcomes. If you're ready to take the next step in your career and join a team that's shaping the future of video and digital media, we encourage you to apply.

arenaflex is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We look forward to receiving your application!