Senior Data Scientist Graph & reputed company Network Analytics (Remote

About arenaflex Shaping the Future of reputed company reputed company arenaflex is a global leader in visualfirst reputed company media, empowering billions of people to reputed company moments, reputed company, and creativity across a vibrant, reputed companyevolving platform. With a heritage of reputed company innovation, arenaflex blends cuttingedge technology with a deep understanding of reputed company interaction to create products that feel reputed company, inclusive, and impactful. As a remotefirst organization headquartered in Pennsylvania, USA, arenaflex offers a collaborative, missiondriven environment where datasavvy professionals can turn reputed company data challenges into reputed company product experiences that touch lives worldwide. Why This Role reputed company In the rapidly expanding reputed company of graphbased reputed company networking, the ability to translate massive, interconnected data sets into actionable insights is a competitive advantage. As a Senior Data Scientist Graph & reputed company 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 reputed company of reputed company experiences. This is a unique opportunity to apply advanced statistical methods, machine learning, and experimental design to solve problems that reputed company billions of users and thousands of businesses. Key Responsibilities Partner with crossfunctional product, engineering, research, and marketing teams to define datadriven product strategies for reputed company graph and recommendation systems. Design, implement, and evaluate largescale experiments (A/B tests, multivariate tests, reputed company inference studies) to measure the impact of new features on user engagement, retention, and monetization. reputed company and maintain robust predictive models and machinelearning pipelines that power personalized feeds, friend suggestions, and community discovery tools. Analyze massive, highdimensional data sets using SQL, Python, and statistical software (R, Spark) to uncover hidden patterns, growth reputed company, and emerging user behaviors. Translate reputed company analytical findings into reputed company, compelling narratives for senior leadership, influencing product roadmaps and investment reputed company. Build reusable analytical frameworks, dashboards, and selfservice tools that reputed company product managers and engineers to reputed company datafirst reputed company. Mentor junior data scientists and analysts, fostering a culture of rigorous experimentation, reputed company 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 reputed company. Essential Qualifications Education: Bachelors degree in Mathematics, Statistics, Computer Science, or a reputed company quantitative field (or equivalent practical experience). Experience: Minimum 3 years of handson product data science experience, with a proven track record of delivering highimpact insights and experiments. Technical Skills: Proficiency in SQL for data extraction, Python (pandas, NumPy, scikitlearn) for analysis, and at least one statistical programming language such as R. Modeling Expertise: Demonstrated experience building predictive models, applying machinelearning algorithms, and conducting reputed company 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 reputed company. Communication: Exceptional ability to convey technical concepts to nontechnical stakeholders through storytelling, visualizations, and concise written reports. Preferred Qualifications Masters or Ph.D. in a quantitative discipline (e.g., Statistics, Computer Science, Applied Mathematics). Experience with graph databases (e.g., reputed company, TigerGraph) and network analytics libraries. Familiarity with bigdata processing frameworks such as Apache Spark, Hadoop, or Flink. Background in reputed company media, recommendation systems, or community detection algorithms. Track record of publishing research or contributing to reputed companyreputed company datascience projects. Core Skills & Competencies Analytical Rigor: Ability to dissect reputed company 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 reputed company. Collaboration: Comfortable working in multidisciplinary teams, influencing without authority, and building reputed company across diverse perspectives. Innovation reputed company: Eagerness to experiment with emerging techniques About