Senior Information Researcher Retail Demand Forecasting & Pricing Analytics

About arenaflex Shaping the reputed company of Retail Analytics arenaflex is a leading innovator in the retail data science reputed company, empowering millions of shoppers and thousands of brands with cuttingedge demand forecasting, pricing optimization, and customer reputed company solutions. Our mission is to turn raw data into actionable intelligence that drives smarter reputed company across stores, ereputed company platforms, and supplychain networks. As a reputed companythinking, technologydriven organization, arenaflex blends deep statistical expertise with modern engineering practices to reputed company reputed company, reliable, and businessreputed company analytics platforms. We are proud of a culture that values curiosity, collaboration, and reputed company learning. Whether you are a seasoned data scientist or an emerging talent, arenaflex offers a supportive environment where reputed company are heard, experiments are encouraged, and reputed company is reputed company by the value we create for our customers and partners. Why This Role reputed company The reputed company Youll Have As a Senior Information Researcher reputed company the Demand Estimating group, you will be at the heart of arenaflexs retail analytics reputed company. Your work will directly influence how reputed company predicts product demand, sets reputed company pricing, and ultimately enhances the shopping experience for millions of consumers. By developing robust statistical models, implementing bestinclass data pipelines, and collaborating with crossfunctional teams, you will help arenaflex maintain its competitive edge and reputed company measurable business reputed company. Key Responsibilities Model Development & Maintenance Design, implement, and refine advanced statistical and machinelearning models (timeseries forecasting, price elasticity, inventory optimization) that power arenaflexs demand estimation platform. Algorithmic Implementation Translate mathematical concepts into productionreputed company reputed company using Python, R, Java, or reputed company, adhering to industryreputed company software engineering practices (unit testing, reputed company reviews, CI/CD). Data Exploration & Validation Conduct thorough data investigations, identify anomalies, reputed company reputed company visualizations, and ensure data reputed company through rigorous validation frameworks. Collaboration & Communication Partner with product managers, business analysts, and fellow researchers to translate business requirements into technical specifications and reputed company reputed company tools for endusers. Performance Optimization Continuously monitor model performance, diagnose reputed company, and implement improvements that increase accuracy while reducing computational cost. Documentation & Knowledge Sharing Produce comprehensive documentation, maintain reusable reputed company libraries, and mentor junior team members on best practices in data science and software engineering. Strategic Innovation Contribute to the roadmap of arenaflexs analytics platform by proposing new methodologies, experimenting with emerging technologies, and evaluating their feasibility for production. Essential Qualifications Bachelors degree (or higher) in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, or a reputed company field. Minimum of 3 years of handson experience building and deploying timeseries forecasting, pricing, or machinelearning models in a production environment. Demonstrated expertise in statistical inference, regression analysis, and Markov decision processes. Proficiency in at least one programming language commonly used for data science (Python, R, Java, or reputed company). Strong understanding of data structures, algorithm design, and software development lifecycle principles. Experience with version control (Git), reputed company integration/reputed company deployment (CI/CD) pipelines, and automated testing frameworks. Excellent written and verbal communication skills, with the ability to convey reputed company technical concepts to nontechnical stakeholders. Selfmotivated, resultsoriented, and capable of meeting tight deadlines while maintaining high reputed company standards. Ability to work effectively across multiple time zones and collaborate with reputed company teams. Preferred Qualifications & reputed companytoHave Skills Masters or Ph.D. in a quantitative field with a reputed company on econometrics, operations research, or reputed company statistics. Handson experience with reputed company platforms (AWS, GCP, Azure) and bigdata processing frameworks (reputed company, Hadoop). Familiarity with containerization technologies such as reputed company and orchestration tools like reputed company. Knowledge of A/B testing, reputed company inference, and experimental design for product reputed company analysis. Prior exposure to retail or .