Experienced Data Scientist – Graph & Social Connections Analytics (Remote/Hybrid)

About arenaflex

Welcome to arenaflex, where we're redefining how billions of people connect, share, and build communities around the world. As one of the most influential technology companies in the digital age, arenaflex operates platforms that have transformed how we communicate, create, and consume content. Our mission is to bring people closer together, and we're looking for talented individuals who share this vision to join our analytics team.

At arenaflex, we believe in the power of data to drive meaningful change. Our platforms process enormous amounts of information every second, creating one of the richest datasets in the world. This presents an unparalleled opportunity for data scientists to apply their technical skills, analytical mindset, and product intuition to solve complex challenges that impact billions of users globally. When you join arenaflex, you become part of a world-class analytics network dedicated to talent development and career growth in analytics and beyond.

Our culture emphasizes innovation, collaboration, and impact. We encourage our team members to think big, experiment boldly, and iterate quickly. As a Data Scientist at arenaflex, you'll have the freedom to explore new analytical approaches, the support of cross-functional partners, and the opportunity to see your insights translate into products that shape how people connect online.

Role Overview

We are seeking an experienced Data Scientist to join our Graph and Social Connections team. In this role, you will play a vital part in shaping meaningful communities where people can connect with each other. You'll leverage your technical expertise and analytical capabilities to work with one of the richest datasets in the world, helping define the experiences we build for billions of people and hundreds of millions of businesses worldwide.

This position offers the chance to transform how people connect and communicate through data-driven insights. You'll collaborate with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, and Finance to identify and solve product development's biggest challenges. Your work will directly influence product strategy and investment decisions, making this an ideal opportunity for someone who wants to see the tangible impact of their analytical work.

Key Responsibilities

As a Data Scientist focusing on Graph and Social Connections, you will be responsible for:

• Data Analysis and Modeling: Work with large and complex datasets to solve a wide range of challenging problems using advanced analytical and statistical techniques. You'll develop models that help understand user behavior, predict trends, and identify opportunities for product improvement.
• Quantitative Analysis: Apply technical knowledge with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for products that serve billions of people and hundreds of millions of organizations. Your work will help inform product decisions across the organization.
• Metrics Development and Tracking: Identify and measure the success of product efforts through objective setting, forecasting, and tracking of key product metrics to understand trends. You'll establish KPIs that align with business goals and provide actionable insights.
• Opportunity Identification: Define, understand, and explore possibilities and levers to improve the product, driving roadmaps through your insights and recommendations. You'll be expected to proactively identify areas for improvement and propose data-driven solutions.
• Cross-Functional Collaboration: Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and funding decisions. You'll serve as a trusted strategic partner, building credibility through structure and clarity.
• Product Leadership: Use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build deliver value to people, businesses, and the platform. You'll help partner teams prioritize what to build, set goals, and understand their product's ecosystem.
• Analytics and Insights: Guide teams using data and insights, focusing on developing hypotheses and employing a diverse toolkit of rigorous analytical approaches, unique methodologies, frameworks, and technical processes to test them.
• Communication and Influence: Present data in compelling narratives that tell data-driven stories. You'll persuade and influence your partners using clear insights and recommendations, becoming a trusted advisor across the organization.

Essential Qualifications

To be successful in this role, you should have:

• Educational Background: Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience. We're looking for candidates with strong quantitative foundations who can apply theoretical knowledge to real-world problems.
• Professional Experience: 3+ years of experience in Product Data Science, with extensive experience in experimentation. You should have a proven track record of applying data science methodologies to product development and have a deep understanding of experimental design and analysis.
• Technical Skills: Experience with data querying languages (such as SQL), scripting languages (such as Python), and/or statistical/mathematical software (such as R). You should be comfortable working with large datasets and have the ability to write efficient, optimized queries.
• Analytical Expertise: Experience with predictive modeling, machine learning, and experimentation/causal inference methods. You should understand how to design experiments, analyze results, and draw meaningful conclusions from data.
• Problem-Solving Abilities: Strong problem-solving skills with the ability to approach complex challenges systematically, breaking them down into manageable components and developing innovative solutions.
• Communication Skills: Excellent communication skills with the ability to translate technical findings into clear, actionable insights for non-technical stakeholders. You should be comfortable presenting to senior leadership and influencing decision-making.

Preferred Qualifications

While not required, the following qualifications would be beneficial:

• Advanced degree (Master's or Ph.D.) in a quantitative field such as Statistics, Mathematics, Computer Science, or Economics. Advanced degrees demonstrate deeper expertise in quantitative methodologies and research capabilities.
• Experience working with social graph data or network analysis. Understanding of graph theory and its applications in social platforms is highly valued.
• Experience with big data technologies and distributed computing frameworks.
• Familiarity with product analytics tools and platforms.
• Knowledge of user experience research methodologies and their integration with quantitative analysis.

Skills and Competencies

We're looking for candidates who demonstrate the following competencies:

• Analytical Thinking: The ability to structure problems, analyze data systematically, and derive meaningful insights that drive product decisions.
• Technical Proficiency: Strong coding skills and the ability to work with large-scale data infrastructure. Comfort with ambiguity and the ability to navigate incomplete information.
• Product Sense: An understanding of how products work and how data can inform product decisions. The ability to think from the user's perspective while considering business objectives.
• Collaboration: Experience working effectively with cross-functional teams. You should be able to build relationships with partners across different disciplines and influence without authority.
• Impact Orientation: A focus on delivering measurable results and continuously improving outcomes. You should be motivated by seeing the tangible impact of your work.
• Learning Agility: The willingness and ability to learn new technologies, methodologies, and domain knowledge quickly. Data science is a rapidly evolving field, and we value candidates who stay current with industry trends.

Career Growth and Development

At arenaflex, we're committed to helping our employees grow and develop throughout their careers. As a Data Scientist here, you'll have access to:

• Professional Development: Comprehensive training programs, workshops, and conferences that help you stay at the forefront of data science methodologies and technologies.
• Career Pathways: Clear progression paths that allow you to deepen your technical expertise or move into leadership roles, depending on your interests and strengths.
• Mentorship: Access to experienced mentors who can guide your career development and help you navigate challenges.
• Cross-Functional Exposure: Opportunities to work with teams across the organization, gaining broad experience and understanding of how different functions contribute to product development.
• Cutting-Edge Tools: Access to state-of-the-art data infrastructure, analytics platforms, and research tools that enable you to do your best work.

Work Environment and Culture

We believe in creating an environment where our employees can do their best work while maintaining healthy work-life balance. Our culture is built on:

• Flexibility: Flexible working hours and the option for remote or hybrid work arrangements. We trust our employees to manage their time effectively and focus on outcomes rather than presence.
• Inclusivity: A commitment to diversity, equity, and inclusion. We believe that diverse teams make better products and that everyone deserves to feel valued and respected.
• Collaboration: An open, collaborative environment where ideas are welcomed and teamwork is celebrated. We believe the best solutions come from diverse perspectives working together.
• Innovation: Encouragement to think creatively, experiment with new ideas, and challenge the status quo. We value employees who bring fresh perspectives and are not afraid to take calculated risks.
• Well-Being: Support for employee well-being through comprehensive health benefits, mental health resources, and wellness programs.

Compensation and Benefits

We offer competitive compensation and comprehensive benefits designed to support our employees' financial security, health, and well-being:

• Competitive Salary: The hourly rate for this position is $35-45 per hour, commensurate with experience and qualifications. We conduct regular market reviews to ensure our compensation remains competitive.
• Health Insurance: Comprehensive healthcare coverage including medical, dental, and vision plans. We cover a significant portion of premiums for employees and their families.
• Retirement Benefits: 401(k) matching program to help you save for retirement. We match a percentage of your contributions, helping you build financial security for the future.
• Remote Work Support: Financial assistance to help people in remote roles set up and maintain an effective home workspace. We want to ensure you have the tools you need to succeed.
• Paid Time Off: Generous vacation days each year, plus sick leave and personal days. We encourage employees to take time to recharge and maintain work-life balance.
• Family-Oriented Policies: Family-friendly work policies including parental leave, adoption assistance, and support for caregivers. We understand that family responsibilities are important.
• Professional Development: Budget for professional development activities, including conferences, training courses, and certifications.
• Employee Assistance Program: Confidential support services for employees and their families, including counseling, legal assistance, and financial planning resources.

Location

This position is based in Pennsylvania, USA. We offer flexible work arrangements, including remote and hybrid options, to accommodate different lifestyles and preferences. Our presence extends across multiple locations, and we provide the infrastructure and support needed for effective remote collaboration.

Join Our Team

arenaflex is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political affairs or activity, or other relevant legally protected characteristics.

We believe in the power of connection and the importance of building communities. If you're passionate about using data to shape how people connect and want to work with a team of talented individuals who share your commitment to innovation, we'd love to hear from you. Join us in our mission to bring people closer together and make a meaningful impact on how billions of people experience the digital world.

Apply today to become part of a team that's transforming the way the world connects. Your analytical skills and creative thinking could help shape the future of social connectivity.