Are you passionate about transforming complex data into actionable business insights? Do you thrive in environments where your analytical expertise directly influences strategic decisions at a global scale? arenaflex is seeking a talented Business Data Scientist to join our Impact Measurement team and help drive data-informed decision-making across our video streaming platform.
About arenaflex
At arenaflex, we believe in the power of connection, creativity, and community. Our video streaming platform has evolved into a global network where people from every corner of the world access information, share their stories, and shape culture. We empower budding creators to build careers, help artists and media companies reach audiences, and engage communities around shared passions and global conversations. Together, we are transforming how the world creates, broadcasts, and shares content.
The Business Strategy and Operations team at arenaflex is responsible for driving all go-to-market capabilities for our video streaming business organization. This includes strategy and business operations, analytics and data science, partnership enablement, and product activation. We are dedicated to shaping go-to-market priorities that accelerate growth, improving capabilities and competencies to support execution of business priorities, driving performance across business operations, and building great go-to-market infrastructure. Our team combines deep strategic, operational, and problem-solving capabilities with practical experience of how to get things done and drive change across a global organization.
The Role
As a Business Data Scientist on our Impact Measurement team, you will play a critical role in supporting arenaflex to make better, more informed decisions. This is an opportunity to be the voice of data and help decision-makers become truly data-driven. You will translate vague business questions into concrete, answerable research questions, design studies to address those questions, and communicate your findings to non-technical audiences while being transparent about uncertainty and the assumptions underlying your analysis.
This position offers the unique opportunity to work with massive datasets and influence decisions that affect millions of users globally. You will collaborate with cross-functional partners including product managers, engineers, marketing teams, and senior executives to provide actionable insights that shape the future of our platform.
Key Responsibilities
- Research Design and Leadership: Design and lead rigorous research studies with the clear goal of answering complex business questions. Develop research methodologies that balance statistical rigor with practical applicability.
- Insight Communication: Present and communicate actionable insights and recommendations to executives, business leaders, and cross-functional partners. Translate technical findings into business-impacting narratives that drive strategic 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 across the organization.
- Continuous Learning: Stay updated with advances in the causal inference literature and data science community. Develop and implement new techniques and methodologies as appropriate to enhance our analytical capabilities.
- Cross-Functional Partnership: Work closely with product, engineering, and business teams to identify opportunities for data-driven improvements and measure the impact of implemented solutions.
- Methodology Development: Contribute to building out our analytical toolkit, including developing best practices for experimental design, causal inference, and statistical modeling.
Minimum Qualifications
- Master's degree in Computer Science, Mathematics, Applied Statistics, Data Science, Machine Learning, or equivalent practical experience.
- Demonstrated 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 foundation in statistical inference, hypothesis testing, and experimental design.
- Excellent communication skills with the ability to present complex findings to both technical and non-technical audiences.
- Experience working in fast-paced, ambiguous environments where you have had to prioritize and make trade-offs.
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 settings.
- Experience designing and conducting causal research using observational data, including difference-in-differences, regression discontinuity, and instrumental variable approaches.
- Advanced experience with statistical data analysis including linear models, multivariate analysis, stochastic models, and sampling techniques.
- Published research or thought leadership in fields related to causal inference, econometrics, or applied statistics.
- Experience with large-scale data processing frameworks and cloud computing platforms.
Skills and Competencies
To succeed in this role, you will need a combination of technical excellence and business acumen:
- Statistical Expertise: Deep understanding of causal inference methodologies, experimental design, and advanced statistical modeling techniques.
- Programming Proficiency: Strong coding skills in at least one statistical language (R, Python, or similar) and proficiency in SQL for data extraction and manipulation.
- Business Acumen: Ability to understand business context, identify key questions, and translate analytical findings into actionable recommendations.
- Communication Skills: Exceptional ability to communicate complex concepts to diverse audiences, both verbally and in writing.
- Intellectual Curiosity: A passion for learning new methods and staying current with academic and industry developments in data science.
- Collaboration: Experience working effectively with cross-functional teams and building relationships across the organization.
Career Growth and Development
At arenaflex, we are committed to helping our employees grow and develop in their careers. As a Business Data Scientist, you will have access to numerous opportunities for professional advancement:
- Technical Leadership Paths: Grow into senior data scientist roles or specialize as a principal researcher in causal inference and measurement.
- Management Trajectory: Develop people management skills and eventually lead teams of analysts and data scientists.
- Cross-Functional Exposure: Gain experience working with product, engineering, marketing, and strategy teams, broadening your business expertise.
- Learning and Development: Access to comprehensive training programs, conferences, and educational reimbursement to enhance your skills.
- Innovation Opportunities: Lead initiatives to develop new analytical methodologies and contribute to arenaflex's thought leadership in the industry.
Work Environment and Culture
arenaflex offers a dynamic, inclusive work environment that values innovation, collaboration, and diversity. We believe that the best ideas can come from anywhere, and we foster a culture where everyone feels empowered to contribute. Our remote-first approach provides flexibility while maintaining strong connections through collaboration tools and virtual team activities.
We are committed to creating a workplace where all employees can thrive, regardless of their background or identity. Our inclusive culture celebrates diversity and ensures equal opportunities for growth and advancement. We encourage applicants from all walks of life to join our team and help us build products that serve a global audience.
Compensation and Benefits
We recognize that our employees are our most valuable asset, and we are committed to providing competitive compensation and comprehensive benefits:
- Competitive Salary: The US base salary range for this full-time position is $124,000-$182,000, depending on experience, location, and qualifications.
- Annual Bonus: Performance-based annual bonuses to reward your contributions to arenaflex's success.
- Equity Compensation: Stock options or equity awards that allow you to share in arenaflex's long-term growth.
- Health and Wellness: Comprehensive health insurance coverage including medical, dental, and vision plans.
- Retirement Benefits: 401(k) retirement plan with company matching contributions.
- Flexible Work Arrangements: Remote work flexibility with the option to work from anywhere with a strong internet connection.
- Paid Time Off: Generous vacation policy, sick leave, and paid holidays.
- Parental Leave: Comprehensive paid leave for new parents.
- Professional Development: Learning stipend, conference attendance, and access to online education platforms.
- Wellness Programs: Access to mental health resources, fitness programs, and employee assistance programs.
Why Join arenaflex?
Joining arenaflex means becoming part of a company that is transforming how the world connects and shares. As a Business Data Scientist, you will have the opportunity to:
- Work on problems that impact millions of users globally.
- Apply cutting-edge causal inference techniques to real-world business challenges.
- Collaborate with talented colleagues from diverse backgrounds.
- Build a career at a company known for innovation and technological advancement.
- Enjoy the flexibility of remote work while being part of a supportive team.
- Contribute to products that are shaping the future of digital media and entertainment.
How to Apply
If you are passionate about data-driven decision making and want to make an impact at a global scale, we would love to hear from you. Apply today to join our team and help arenaflex continue to empower creators, connect communities, and shape the future of digital media.
arenaflex is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, disability, or any other basis protected by law.