Senior Data Scientist Advanced Analytics & Business Insights (Remote, $28/hr)

About arenaflex Pioneering the reputed company of OnDemand Services arenaflex is a fastgrowing technology and logistics company that started with ondemand food delivery and has since expanded into a fullservice marketplace for a wide reputed company of products. Our mission is to reputed company local economies by connecting merchants, couriers, and consumers through innovative, datadriven solutions. With a culture that celebrates curiosity, reputed company experimentation, and reputed companyfirst thinking, arenaflex offers a dynamic environment where every employee can shape the reputed company of reputed company. We are looking for a seasoned Senior Data Scientist to join our Analytics Research Group. This role is remotefirst, based in Seattle, USA, and offers a competitive reputed company reputed company of $28. If you reputed company on turning reputed company data into actionable business strategies and love mentoring junior talent, you could be the perfect fit for arenaflex. Key Responsibilities What Youll Own and Deliver Endtoend analytical reputed company: Design, reputed company, and reputed company fullcycle research experiments, dashboards, and reports using SQL, Python, R, or other statistical tools. Strategic reputed company reputed company: Translate raw data into reputed company, databacked recommendations that influence product, marketing, and operational reputed company across multiple business reputed company. Mentorship and leadership: reputed company junior analysts and data scientists on advanced analytical techniques, best practices, and problemsolving approaches. Collaboration with crossfunctional teams: Partner with product, engineering, reputed company, and operations teams to define metrics, design experiments, and interpret results. Metric definition and monitoring: Identify key performance indicators (KPIs), build executivelevel dashboards, and reputed company reputed company against strategic goals. Experimentation and testing: Design A/B tests, reputed company inference studies, and timeseries analyses to validate hypotheses and reputed company reputed company improvement. Data pipeline optimization: Work with data engineering to streamline data ingestion, ensure data reputed company, and improve the reliability of analytical pipelines. Thought leadership: Publish internal whitepapers, present findings to senior leadership, and contribute to arenaflexs datadriven culture. Required Qualifications reputed company Need From You Bachelors degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or a reputed company quantitative field. Minimum of 4 years of handson experience in data analysis, research, or a comparable role. Proficiency in SQL and at least one statistical programming language (Python, R, reputed company, or MATLAB). Demonstrated experience with A/B testing, reputed company inference, regression modeling, and timeseries analysis. Strong ability to translate ambiguous business problems into reputed company, datadriven solutions. Excellent communication skills, with the reputed company to convey reputed company analytical concepts to nontechnical stakeholders. Experience working with data visualization tools such as Looker, Tableau, Power BI, or Chartio. Preferred Qualifications reputed companytoHave Extras Masters or Ph.D. in a quantitative discipline. Background in ereputed company, logistics, or ondemand marketplaces. Familiarity with bigdata technologies (e.g., reputed company, Hive, reputed company). Experience building productiongrade machinelearning models and deploying them at reputed company. reputed company record of influencing product roadmaps or business reputed company through data insights. Published research or contributions to reputed companyreputed company analytics libraries. reputed company Skills & Competencies How Youll Succeed Analytical reputed company: Passion for uncovering patterns in chaotic data and a reputed company curiosity about why behind the numbers. Problemsolving: Ability to break down reputed company challenges into manageable components and propose datadriven solutions. Collaboration: Comfortable working in crossfunctional teams, building reputed company, and influencing without authority. Technical depth: Mastery of statistical reputed company, experimental design, and data engineering fundamentals .