Senior Business Data Scientist – Remote Impact Measurement & Data Entry Specialist at arenaflex – $30/hr (Full‑Time)

About arenaflex

arenaflex is a global technology leader that connects billions of people through innovative digital experiences. From video streaming and music services to cutting‑edge cloud solutions, arenaflex empowers creators, brands, and audiences to share ideas, discover new content, and build thriving communities. Our mission is to make information universally accessible and to foster an ecosystem where creativity and data‑driven insight intersect. As a remote‑first organization, arenaflex offers a flexible work environment that encourages collaboration across time zones, while maintaining a strong focus on employee well‑being, professional growth, and inclusive culture.

Why This Role Matters

In the Impact Measurement team of arenaflex’s Video Platform division, we translate complex data into actionable business strategies that shape the future of our products and services. As a Business Data Scientist, you will partner with senior leaders, product managers, and cross‑functional stakeholders to design rigorous experiments, develop causal inference models, and communicate insights that drive revenue growth, user engagement, and strategic decision‑making. This role is a unique blend of data engineering, statistical research, and business storytelling, all performed remotely from anywhere in the United States.

Key Responsibilities

• Design, implement, and lead end‑to‑end research projects that answer high‑impact business questions, ranging from product adoption to advertising effectiveness.
• Develop and maintain robust causal inference pipelines using Bayesian hierarchical models, BART, Bayesian Causal Forest, Gaussian Processes, and Synthetic Control methods.
• Collaborate with engineering teams to extract, clean, and transform large‑scale datasets using SQL, Python, and statistical tools such as R, SAS, Stata, or MATLAB.
• Translate ambiguous business problems into clear analytical frameworks, define appropriate metrics, and construct experimental designs (including randomized controlled trials).
• Present findings to non‑technical audiences, crafting compelling narratives that highlight key insights, uncertainties, and actionable recommendations.
• Serve as a peer reviewer for causal research conducted by other teams, ensuring methodological rigor and consistency across the organization.
• Stay current with the latest advancements in causal inference, machine learning, and statistical methodology, and proactively introduce innovative techniques to the team.
• Mentor junior analysts and data scientists, fostering a culture of continuous learning and knowledge sharing.

Minimum 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 from relational databases using SQL; proficiency with statistical programming languages (R, Python, SAS, Stata, MATLAB) for data analysis.
• Research Experience: Demonstrated ability to formulate business questions, design experiments, and conduct data‑driven evaluations, preferably through internships or professional projects.
• Communication Skills: Strong written and verbal communication abilities, with a track record of presenting complex analytical results to senior stakeholders in a clear, concise manner.

Preferred Qualifications

• Hands‑on experience with Bayesian hierarchical models, Bayesian Additive Regression Trees (BART), Bayesian Causal Forest (BCF), Gaussian Processes, and Synthetic Control techniques.
• Background in designing and analyzing randomized controlled trials and observational causal studies.
• Deep familiarity with linear models, multivariate analysis, stochastic modeling, and advanced sampling techniques.
• Experience working on large‑scale data platforms (e.g., BigQuery, Snowflake) and building production‑grade analytics pipelines.
• Publications or contributions to the causal inference literature, conference presentations, or open‑source projects.

Core Skills & Competencies

• Analytical Rigor: Ability to think critically, question assumptions, and apply rigorous statistical methods to solve ambiguous problems.
• Programming Proficiency: Advanced coding skills in Python or R, with experience in version control (Git) and reproducible research practices.
• Business Acumen: Understanding of digital media economics, advertising ecosystems, and product lifecycle dynamics.
• Collaboration: Comfortable working in cross‑functional, remote teams, building strong relationships with product, engineering, and leadership.
• Storytelling: Ability to craft data‑driven narratives that influence strategy, inspire action, and convey uncertainty transparently.
• Adaptability: Thrive in a fast‑moving environment, quickly pivoting between projects while maintaining high quality standards.

Compensation & Benefits

arenaflex offers a competitive compensation package that reflects the expertise and impact of our data science professionals. While the advertised base rate is $30 per hour, total remuneration includes performance‑based bonuses, equity grants, and a comprehensive benefits suite. Typical total compensation for comparable roles ranges from $124,000 to $182,000 annually, plus additional incentives.

Our benefits program includes:

• Health, dental, and vision coverage with generous employer contributions.
• Flexible retirement plans (401(k) with matching).
• Paid parental leave, unlimited vacation, and sick days.
• Professional development stipend for conferences, certifications, and online courses.
• Home office allowance, high‑speed internet reimbursement, and ergonomic equipment support.
• Wellness programs, mental‑health resources, and employee assistance services.
• Access to arenaflex’s global learning platform, mentorship networks, and internal mobility opportunities.

Work Environment & Culture

As a remote‑first employer, arenaflex prioritizes flexibility without sacrificing connection. Our employees enjoy:

• Global Collaboration: Work alongside talented professionals from diverse backgrounds, spanning multiple continents and time zones.
• Inclusive Culture: A commitment to diversity, equity, and inclusion that ensures every voice is heard and valued.
• Autonomy & Trust: Freedom to structure your day, choose your workspace, and deliver results on your own terms.
• Technology Enablement: Access to state‑of‑the‑art collaboration tools, cloud resources, and secure data environments.
• Continuous Learning: Regular knowledge‑sharing sessions, internal hackathons, and a culture that encourages curiosity.
• Purpose‑Driven Impact: Your work directly influences the experiences of millions of users worldwide, shaping how they discover, learn, and entertain themselves.

Career Growth & Development

arenaflex invests heavily in the professional trajectory of its data scientists. Within the first year, you can expect:

• Mentorship from senior leaders in the Impact Measurement group.
• Opportunities to lead high‑visibility projects that influence product roadmaps.
• Pathways to senior or principal data scientist roles, as well as cross‑functional moves into product management, analytics engineering, or research.
• Access to internal training programs on advanced causal inference, machine learning, and data engineering.
• Participation in global conferences and publication opportunities, reinforcing your thought‑leadership profile.

Application Process

If you are passionate about turning data into strategic advantage, thrive in a remote setting, and want to be part of a world‑class technology organization, we encourage you to apply. Submit your resume, a brief cover letter outlining your most relevant experience, and any portfolio or research links that demonstrate your expertise in causal inference and data analysis.

Join arenaflex Today

At arenaflex, your analytical talent will be celebrated, your ideas will shape products used by billions, and your career will flourish in a supportive, forward‑thinking environment. Take the next step toward a rewarding future—apply now and become a catalyst for data‑driven impact.

Apply Job!