Job Description
- *Join arenaflex, a multinational e-commerce organization, in its quest for innovation and excellence. As a seasoned data scientist, you will play a pivotal role in shaping the future of arenaflex's business intelligence and analytics capabilities.** **About arenaflex** arenaflex is a multinational e-commerce organization based in Seattle, Washington, USA. Founded by Jeff Bezos in 1994, arenaflex has grown to become one of the world's largest online retailers and a leader in various industries, including cloud computing, virtual streaming, artificial intelligence, and more. arenaflex is known for its commitment to innovation, customer satisfaction, and employee well-being. **Job Summary** We are seeking an experienced full stack data scientist to join our Information Researcher, Investigation team at arenaflex. As a data scientist, you will be responsible for providing data analysis and support to various teams, including stage, administration, and functional design groups. You will work closely with cross-functional teams to drive business decisions, develop strategic plans, and execute research projects. Your expertise will help us scale our business and make data-driven decisions. **Key Responsibilities** * Collaborate with stage and administration teams to provide data-driven insights and recommendations for business decisions * Develop and maintain data instrumentation, dashboards, and reports to support business intelligence and analytics * Design and implement data surveys, metrics, and KPIs to measure business performance * Work with cross-functional teams to develop strategic plans and execute research projects * Provide data analysis and support to various teams, including functional design groups * Develop and maintain relationships with stakeholders to ensure data-driven decision-making * Identify and address ambiguous issues and develop solutions to complex problems * Recognize trade-offs between speed and quality of various methodologies * Develop logical structures to measure group performance and track data to identify areas for improvement * Operationalize data cycles to provide real-time analysis, automated dashboards, and self-service reporting tools **Essential Qualifications** * 3+ years of experience in a data science or analytics role, preferably in a consumer web business or high-growth product or team * Master's degree in Computer Science, Mathematics, Statistics, or related field * Strong SQL skills and proficiency in Python/R * Experience using data to drive business results and inform strategic decisions * Familiarity with data analysis and communication, including time series analysis, experimentation, data visualization, and defining KPIs for business success * Excellent collaboration and communication skills, with the ability to build and maintain relationships with stakeholders * Four-year college education **Preferred Qualifications** * Passion for online communities, games, and arenaflex * Experience in functional excellence, defining metrics, and analysis reporting * Experience working with software development and functional event data * Experience with AI techniques, such as regression, decision trees, and neural networks **Benefits and Perks** * Competitive salary of $27/hour * Comprehensive medical, dental, and vision insurance * 401(k) plan with company match * Flexible PTO and holidays * Employee discounts on arenaflex products and services * Monthly stipend for health-related activities and projects * Free meals and snacks * Opportunities for career growth and professional development * Collaborative and dynamic work environment **Why Join arenaflex?** * arenaflex is a leader in the e-commerce industry, with a strong commitment to innovation and customer satisfaction * We offer a competitive salary and comprehensive benefits package * Our team is passionate about data science and analytics, and we are committed to providing opportunities for growth and development * arenaflex is a dynamic and collaborative work environment, with a focus on teamwork and open communication **How to Apply** If you are a motivated and experienced data scientist looking for a new challenge, please submit your application through our website. We look forward to hearing from you! Apply Now! Apply for this job