Senior Data Scientist – Graph & Social Network Analytics (Remote – Pennsylvania) – Join arenaflex’s Cutting‑Edge Product Innovation Team

About arenaflex – Shaping the Future of Social Connection

arenaflex is a global leader in visual‑first social media, empowering billions of people to share moments, ideas, and creativity across a vibrant, ever‑evolving platform. With a heritage of relentless innovation, arenaflex blends cutting‑edge technology with a deep understanding of human interaction to create products that feel intuitive, inclusive, and impactful. As a remote‑first organization headquartered in Pennsylvania, USA, arenaflex offers a collaborative, mission‑driven environment where data‑savvy professionals can turn complex data challenges into tangible product experiences that touch lives worldwide.

Why This Role Matters

In the rapidly expanding arena of graph‑based social networking, the ability to translate massive, interconnected data sets into actionable insights is a competitive advantage. As a Senior Data Scientist – Graph & Social Network Analytics at arenaflex, you will be at the heart of this transformation. Your work will directly influence product strategy, drive feature development, and help shape the roadmap for the next generation of social experiences. This is a unique opportunity to apply advanced statistical methods, machine learning, and experimental design to solve problems that affect billions of users and thousands of businesses.

Key Responsibilities

• Partner with cross‑functional product, engineering, research, and marketing teams to define data‑driven product strategies for social graph and recommendation systems.
• Design, implement, and evaluate large‑scale experiments (A/B tests, multivariate tests, causal inference studies) to measure the impact of new features on user engagement, retention, and monetization.
• Develop and maintain robust predictive models and machine‑learning pipelines that power personalized feeds, friend suggestions, and community discovery tools.
• Analyze massive, high‑dimensional data sets using SQL, Python, and statistical software (R, Spark) to uncover hidden patterns, growth levers, and emerging user behaviors.
• Translate complex analytical findings into clear, compelling narratives for senior leadership, influencing product roadmaps and investment decisions.
• Build reusable analytical frameworks, dashboards, and self‑service tools that empower product managers and engineers to make data‑first decisions.
• Mentor junior data scientists and analysts, fostering a culture of rigorous experimentation, continuous learning, and ethical data use.
• Stay abreast of the latest research in graph theory, network science, and AI, and proactively introduce innovative techniques to the arenaflex analytics toolbox.

Essential Qualifications

• Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related quantitative field (or equivalent practical experience).
• Experience: Minimum 3 years of hands‑on product data science experience, with a proven track record of delivering high‑impact insights and experiments.
• Technical Skills: Proficiency in SQL for data extraction, Python (pandas, NumPy, scikit‑learn) for analysis, and at least one statistical programming language such as R.
• Modeling Expertise: Demonstrated experience building predictive models, applying machine‑learning algorithms, and conducting causal inference using techniques like propensity scoring or instrumental variables.
• Experimental Design: Deep understanding of experimental methodology, hypothesis testing, and the ability to design robust A/B tests that drive product decisions.
• Communication: Exceptional ability to convey technical concepts to non‑technical stakeholders through storytelling, visualizations, and concise written reports.

Preferred Qualifications

• Master’s or Ph.D. in a quantitative discipline (e.g., Statistics, Computer Science, Applied Mathematics).
• Experience with graph databases (e.g., Neo4j, TigerGraph) and network analytics libraries.
• Familiarity with big‑data processing frameworks such as Apache Spark, Hadoop, or Flink.
• Background in social media, recommendation systems, or community detection algorithms.
• Track record of publishing research or contributing to open‑source data‑science projects.

Core Skills & Competencies

• Analytical Rigor: Ability to dissect complex problems, formulate hypotheses, and apply statistical rigor to validate findings.
• Product Intuition: Strong sense of how data insights translate into product value, user experience, and business outcomes.
• Collaboration: Comfortable working in multidisciplinary teams, influencing without authority, and building consensus across diverse perspectives.
• Innovation Mindset: Eagerness to experiment with emerging techniques, challenge the status quo, and iterate quickly.
• Ethical Stewardship: Commitment to responsible data use, privacy considerations, and fairness in algorithmic decision‑making.

Career Growth & Learning Opportunities

arenaflex invests heavily in the professional development of its people. As a senior data scientist, you will have access to:

• Annual learning stipend for conferences, certifications, or advanced coursework.
• Mentorship programs pairing you with senior leaders in product, engineering, and research.
• Opportunities to lead cross‑functional initiatives, shaping the strategic direction of the platform.
• Internal hackathons and innovation sprints that encourage creative problem‑solving.
• Publication support for research papers and contributions to the broader data‑science community.

Work Environment & Culture at arenaflex

arenaflex embraces a remote‑first philosophy while fostering a vibrant, inclusive community. Our culture is built on:

• Flexibility: Remote work support, including a home‑office allowance, ergonomic equipment, and high‑speed internet subsidies.
• Collaboration: Regular virtual coffee chats, team‑wide retrospectives, and quarterly in‑person meet‑ups to strengthen bonds.
• Diversity & Inclusion: A commitment to equitable hiring, career advancement, and a workplace where every voice is heard.
• Work‑Life Balance: Flexible hours, generous paid time off, and family‑friendly policies that respect personal priorities.
• Wellness: Comprehensive health, dental, and vision plans, mental‑health resources, and wellness stipends.

Compensation, Perks & Benefits

arenaflex offers a competitive hourly rate of $35–$45 per hour, reflecting the expertise required for this role. In addition to base compensation, you will receive:

• Performance‑based bonuses tied to measurable product impact.
• 401(k) retirement plan with company matching.
• Full health, dental, and vision coverage, including vision‑care and preventive services.
• Paid parental leave, adoption assistance, and flexible family‑care options.
• Professional development budget and tuition reimbursement.
• Employee assistance program (EAP) for counseling and legal support.
• Annual company‑wide retreats and virtual team‑building events.

How to Apply

If you are passionate about turning massive social graphs into meaningful experiences, thrive in a data‑driven culture, and want to make a global impact from the comfort of your home office, we want to hear from you. Join arenaflex’s mission to connect people in authentic, creative ways while advancing your own career in a supportive, innovative environment.

Apply Now – Become a Data‑Science Trailblazer at arenaflex!