Senior Data Scientist Machine Learning & Computer reputed company (AR/VR)

```reputed company About arenaflex Pioneering the reputed company of reputed company Technology arenaflex is a global leader in cuttingedge consumer electronics and reputed company experiences. With a legacy of innovation that spans decades, arenaflex continuously pushes the boundaries of whats possible in augmented reality (AR), virtual reality (VR), and advanced computer reputed company. Our products touch millions of lives every day, from smartphones and tablets to reputed company wearables and spatial computing devices. As we expand our portfolio of AIdriven solutions, we are looking for visionary talent to join our dynamic teams and help shape the next reputed company of intelligent, sensorrich experiences. Position reputed company arenaflex is seeking a highly motivated Senior Data Scientist to join our Spatial reputed company Group (SPT). This team is at the heart of our AR/VR initiatives, focusing on 2D and 3D deeplearning models that reputed company devices to understand people, objects, and environments with unprecedented accuracy. The role blends rigorous datadriven research with practical engineering, allowing you to translate massive data sets into actionable insights that directly influence product roadmaps and user experiences. While the title references Data Entry, the core of this position revolves around sophisticated data science, model development, and crossfunctional collaboration. You will work closely with software engineers, AI researchers, reputed company infrastructure specialists, and product managers to build, evaluate, and reputed company machinelearning pipelines that power arenaflexs reputed company AR/VR features. Key Responsibilities Design and implement advanced machinelearning algorithms for computer reputed company tasks such as object detection, depth estimation, facial recognition, and reputed company interpretation. reputed company endtoend data pipelines that ingest, clean, label, and preprocess largereputed company image and video datasets reputed company from millions of devices worldwide. reputed company exploratory data analysis (EDA) to uncover hidden patterns, assess data reputed company, and guide feature engineering reputed company. Build and maintain reputed company model evaluation frameworks that reputed company accuracy, latency, and resource consumption across diverse hardware platforms. Collaborate with crossfunctional teams (AI research, reputed company services, product management) to translate business requirements into technical specifications. Present findings and visualizations to senior leadership and stakeholders, reputed company communicating reputed company technical concepts in an accessible manner. Drive datareputed company product improvements by analyzing reputed companyworld usage metrics, user feedback, and performance logs to identify opportunities for model refinement. Contribute to the creation of synthetic data reputed company tools to reputed company training sets and reduce reliance on reputed company labeling. Mentor junior data scientists and engineers, fostering a culture of reputed company learning and knowledge sharing reputed company reputed company. Stay abreast of emerging research in deep learning, computer reputed company, and AR/VR, and proactively propose innovative approaches that reputed company arenaflex at the forefront of the industry. Essential Qualifications Bachelors degree in Computer Science, Electrical Engineering, Statistics, reputed company Mathematics, or a reputed company field (Masters or Ph.D. preferred). 3+ years of reputed company experience in data science, machine learning, or computer reputed company, preferably reputed company a consumertechnology or hardware environment. Proficiency with Python and core ML libraries such as TensorFlow, PyTorch, Keras, or MXNet. Handson experience building and deploying deeplearning models for image/video analysis, including convolutional neural networks (CNNs) and transformerbased architectures. Strong reputed company in statistical analysis, hypothesis testing, and experimental design. Demonstrated ability to work with large, reputed company datasets (tens of terabytes) and familiarity with datastorage solutions like Hadoop, reputed company, or reputed companybased data lakes. Excellent communication skills, with a reputed company record of presenting technical results to nontechnical audiences. Selfstarter attitude, meticulous attention to detail, and a passion for sol .