Senior Business Data Scientist – Remote Impact Measurement & Causal Analytics for arenaflex’s Video Platform

About arenaflex – Shaping the Future of Global Video Sharing

arenaflex is a world‑leading technology company that powers one of the most vibrant online video ecosystems on the planet. Our video platform connects billions of viewers, creators, and media partners, delivering entertainment, education, and community across every corner of the globe. As a pioneer in data‑driven decision making, arenaflex invests heavily in cutting‑edge research, advanced analytics, and a culture that empowers every employee to turn curiosity into impact.

Why This Role Matters

As a Senior Business Data Scientist – Impact Measurement, you will be at the heart of arenaflex’s strategic engine. You will translate ambiguous business challenges into rigorous analytical projects, design causal experiments, and surface insights that guide product, partnership, and revenue strategies. Your work will directly influence how millions of users discover, engage with, and share video content worldwide.

Key Responsibilities

• Partner with product managers, engineers, and senior leaders to define high‑impact business questions and translate them into data‑centric research plans.
• Design, implement, and lead causal inference studies—including Bayesian hierarchical models, BART, Bayesian Causal Forest, Gaussian Processes, and Synthetic Control—to evaluate the effectiveness of new features, marketing campaigns, and partnership initiatives.
• Develop and maintain robust data pipelines using SQL, Python, and statistical tools (R, SAS, Stata, MATLAB) to extract, clean, and prepare large‑scale datasets for analysis.
• Communicate findings through clear visualizations, dashboards, and storytelling presentations that make complex statistical concepts accessible to non‑technical stakeholders.
• Act as a peer reviewer for causal research across the organization, ensuring methodological rigor and consistency.
• Stay abreast of the latest developments in causal inference, machine learning, and experimental design, and proactively introduce innovative techniques to the team.
• Mentor junior analysts and data scientists, fostering a collaborative learning environment.

Essential Qualifications

• Education: Master’s degree in Computer Science, Mathematics, Applied Data Science, Machine Learning, Statistics, or a closely related field; or equivalent practical experience.
• Technical Expertise: Proven experience extracting and manipulating data with SQL; strong command of statistical programming languages such as R, Python, SAS, Stata, or MATLAB.
• Causal Inference Experience: Hands‑on work with Bayesian hierarchical models, BART, Bayesian Causal Forest, Gaussian Processes, or Synthetic Control methods.
• Experimental Design: Demonstrated ability to design, execute, and analyze randomized controlled trials and observational causal studies.
• Statistical Modeling: Proficiency in linear models, multivariate analysis, stochastic modeling, and advanced sampling techniques.
• Communication Skills: Ability to translate technical results into actionable business recommendations for senior leadership.

Preferred Qualifications

• Experience in the online media or video streaming industry, particularly with large‑scale user engagement metrics.
• Publications or conference presentations in causal inference, econometrics, or applied statistics.
• Familiarity with cloud‑based data warehouses (e.g., BigQuery, Snowflake) and modern data‑visualization tools (Looker, Tableau, PowerBI).
• Track record of mentoring and building high‑performing analytics teams.

Core Skills & Competencies

• Analytical Rigor: Deep understanding of statistical theory and the ability to apply it to real‑world business problems.
• Problem‑Solving Mindset: Curiosity‑driven approach to uncovering root causes and identifying growth levers.
• Collaboration: Strong partnership skills, comfortable working across product, engineering, marketing, and finance teams.
• Storytelling: Exceptional written and verbal communication, with a knack for turning data into compelling narratives.
• Adaptability: Ability to thrive in a fast‑paced, remote environment while managing multiple priorities.

Career Growth & Learning Opportunities

arenaflex invests heavily in the professional development of its employees. In this role, you will have access to:

• Annual learning stipend for conferences, certifications, or advanced coursework in data science, causal inference, or leadership.
• Mentorship programs that pair you with senior executives and industry thought leaders.
• Opportunities to publish internal research, present at global tech summits, and influence product roadmaps.
• A clear promotion pathway from Senior Data Scientist to Principal Scientist, and eventually to Director‑level strategic roles.

Work Environment & Culture at arenaflex

Our remote‑first philosophy is built on trust, flexibility, and inclusion. As a remote employee, you will enjoy:

• Flexible Hours: Design your own schedule to balance personal commitments and peak productivity periods.
• Global Collaboration: Work with cross‑functional teams spanning multiple continents, gaining exposure to diverse perspectives.
• State‑of‑the‑Art Tools: Access to cutting‑edge collaboration platforms, high‑performance computing resources, and secure data environments.
• Well‑Being Programs: Comprehensive health, mental‑health, and wellness benefits, including virtual fitness classes and counseling services.
• Inclusive Culture: A commitment to diversity, equity, and inclusion that ensures every voice is heard and valued.

Compensation, Perks & Benefits

arenaflex offers a competitive total rewards package that reflects the expertise you bring to the role. While exact figures vary by location and experience, you can expect:

• Base salary ranging from $124,000 to $182,000 USD per year, commensurate with experience.
• Performance‑based bonuses and equity grants that align your success with the company’s growth.
• Comprehensive health, dental, and vision coverage for you and your dependents.
• Generous paid time off, parental leave, and flexible holiday policies.
• Retirement savings plans with company matching contributions.
• Professional development budget, tuition reimbursement, and access to internal learning platforms.
• Home office stipend to equip your remote workspace with ergonomic furniture and high‑speed internet.

How to Apply

If you are passionate about turning data into strategic advantage, love solving complex causal problems, and thrive in a remote, collaborative environment, we want to hear from you. Join arenaflex and help shape the future of global video sharing.

Apply Now