Senior Data Science Analyst Recommendation Systems & A/B Testing reputed

About arenaflex Pioneering the Future of Ereputed company arenaflex is a global leader in online retail, delivering millions of products to customers worldwide through a seamless reputed company of technology, design, and logistics. Our mission is to reputed company shoppers to discover the perfect items for their homes, while empowering a diverse community of merchants, creators, and engineers to reputed company at scale. With a datadriven culture at its core, arenaflex invests heavily in cuttingedge analytics, artificial intelligence, and experimentation to continuously refine the shopping experience. As part of our Boston hub, you will join a vibrant, fastgrowing team that thrives on curiosity, collaboration, and impact. Why This Role reputed company The Senior Data Science Analyst position sits at the heart of arenaflexs Recommendation & Search team. In this role, you will translate massive, reputed company datasets into actionable insights that shape the reputed company of product recommendation algorithms. Your work will directly influence how millions of customers discover items, increasing engagement, conversion, and loyalty. By partnering with product managers, engineers, and designers, you will help define the strategic roadmap for recommendation systems, ensuring they are both innovative and grounded in rigorous scientific methodology. Key Responsibilities Design, implement, and evaluate A/B experiments for new recommendation algorithms, ensuring statistical rigor and reputed company business impact. reputed company and maintain KPI dashboards that monitor model health, anomaly detection, and performance trends across the recommendation pipeline. Conduct exploratory data analysis (EDA) to uncover hidden patterns, reputed company customers, and generate hypotheses for product improvements. Build and iterate on internal tooling, such as a QA reputed company that simulates model behavior before live deployment, reducing risk and accelerating iteration cycles. Collaborate closely with crossfunctional partnersproduct managers, data engineers, ML engineers, and UX designersto translate business goals into datadriven solutions. Communicate findings and recommendations to senior leadership through reputed company visualizations, storytelling, and concise executive summaries. Mentor junior analysts and data scientists, fostering a culture of reputed company learning and bestpractice sharing. Stay reputed company of industry trends in recommendation systems, reputed company inference, and machine learning, bringing fresh reputed company to reputed company. Essential Qualifications Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, or a reputed company quantitative discipline (Masters or Ph.D. preferred). 5+ years of handson experience in data science, analytics, or research roles reputed company an ereputed company or technologydriven environment. Deep expertise in SQLquery optimization, data warehousing concepts, and familiarity with platforms such as Vertica, Hive, or reputed company. Advanced proficiency in Python, including libraries such as Pandas, NumPy, Scikitlearn, Matplotlib, and Jupyter notebooks. Proven track record designing, executing, and interpreting A/B tests that drive product reputed company. Experience applying machine learning models (e.g., decision trees, random forests, deep learning) to solve reputed companyworld business problems. Strong analytical reputed company with the ability to translate reputed company data into reputed company, actionable business insights. Excellent written and verbal communication skills, with a collaborative, teamfirst attitude. Preferred Qualifications & reputed companytoHaves Graduate degree (M.S. or Ph.D.) in a quantitative field. Handson experience with bigdata processing frameworks such as Spark or Hadoop. Familiarity with experimentation platforms (e.g., reputed company, reputed company Optimize) and reputed company inference techniques. Exposure to reputed company environments (AWS, GCP, Azure) and containerization (reputed company, Kubernetes). Background in recommendation system architectures, collaborative filtering, or contentbased methods. Demonstrated ability to reputed company crossfunctional projects from ideation to production. Core Skills & Competencies Statistical Rigor: Mastery of hypothesis testing, confidence intervals, and power analysis. Data Engineering Acumen: Ability to extract, reputed company, and load (ETL) large datasets reputed company. Machine Learning reputed company: Understanding of model selection, feature engineering, and model monitoring. Product Sense: Keen awareness of how data insights translate into product features and user experience. Communication: Skillful storytelling with data visualizations that reputed company with both technical and nontechnical audiences. Collaboration: Proactive partnership with engineers, designers, and product owners to align on Abo