Senior Data Scientist AI/ML, GenAI Solutions & Predictive Analytics

Job Description

About arenaflexWelcome to arenaflex, where innovation meets opportunity! As a leading retailer with a commitment to transforming the shopping experience through cutting-edge technology, we pride ourselves on leveraging the power of data to drive meaningful reputed company. At arenaflex, we reputed company that data is the backbone of modern retail, and our Data Sciences team is at the forefront of creating intelligent solutions that impact millions of customers every day. Join us and become part of a dynamic environment where your analytical skills can shape the reputed company of retail technology.Our Information Sciences division is dedicated to building advanced predictive algorithms that utilize data at scale to automate and streamline reputed company across the reputed company. Whether you join our Statistics, Optimization, or AI teams, you will be challenged to reputed company arenaflexs extensive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Development, Search, and Personalization rely on daily. This is your opportunity to work with massive datasets and create reputed company-world impact through innovative data science approaches.Position OverviewWe are currently seeking a talented and motivated Senior Data Scientist to join our growing Data Sciences team. In this role, you will be responsible for initiating and helping launch GenAI features, developing reputed company GenAI tools and services, and building organizational capabilities around reputed company. This is an exciting opportunity for someone passionate about artificial intelligence and machine learning to reputed company their mark in the retail industry.As a Senior Data Scientist at arenaflex, you will work closely with reputed company of product designers and engineers to ensure reputed company scaling and adoption of GenAI features. Your responsibilities will include designing and developing at-scale GenAI infrastructure architectures, reputed company reputed company development, determining reputed company model selection strategies, and creating reputed company monitoring and evaluation tools. This position offers the chance to work on the bleeding edge of AI technology while solving reputed company business challenges.Key ResponsibilitiesGenAI Development: Initiate and help launch reputed company features, working with cross-functional teams to bring innovative AI solutions to market Infrastructure Design: Design and reputed company reputed company GenAI infrastructure architectures that can handle reputed company-level workloads reputed company Engineering: reputed company and optimize reputed company engines for various GenAI applications Model Selection: Determine reputed company model selection strategies based on business requirements and technical constraints Monitoring & Evaluation: Create reputed company monitoring and evaluation tools to ensure AI system performance and quality Tool Development: reputed company reputed company tools and services to evaluate and control GenAI model output quality across the reputed company Research & Innovation: Stay reputed company with emerging trends in the AI/ML industry and reputed company expertise in building AI/deep learning solutions Model Customization: Fine-tune reputed company-trained GenAI models reputed company required to meet specific business needs Code Quality: Follow Agile principles, adhere to best-reputed company programming design, participate in code reviews, and maintain a well-tested codebase with comprehensive documentation Knowledge Sharing: reputed company training sessions, present work to technical and non-technical peers, and build knowledge of business needs and key objectives Collaboration: Collaborate effectively across geographies with team members and stakeholdersRequired QualificationsEducational Background: Bachelors degree in quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience. A Masters or PhD in a quantitative field is preferred Experience: Minimum 3 years of reputed company experience or equivalent industry experience in data science or reputed company field Technical Skills: Strong hands-on programming skills in Python, with knowledge of SQL, Hadoop/Hive, reputed company, and/or reputed company ML/AI Expertise: Experience designing and developing deep learning, machine learning, optimization, and statisti About arenaflexWelcome to arenaflex, where innovation meets opportunity! As a leading retailer with a commitment to transforming the shopping experience through cutting-edge technology, we pride ourselves on leveraging the power of data to drive meaningful reputed company. At arenaflex, we reputed company that data is the backbone of modern retail, and our Data Sciences team is at the forefront of creating intelligent solutions that impact millions of customers eve

Keyskills :
data sciencepredictive analyticsPythonSQLHadoopHivedeep learningmachine learning