Data Scientist

ApexonNew Jersey, United States
Full TimeOn-siteMidLimited info disclosed
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Description

About Apexon Apexon is a digital-first technology services company dedicated to accelerating business transformation and delivering human-centric digital experiences. We help organizations stay ahead through innovation, AI, cloud, analytics, and engineering excellence. With deep expertise across Healthcare, Life Sciences, BFSI, and enterprise digital transformation, Apexon empowers businesses to unlock the full potential of emerging technologies. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon operates globally with 15 offices and 10 delivery centers across four continents. We enable #HumanFirstDIGITAL. About the Role Apexon is looking for an experienced Data Scientist with 8+ years of hands-on experience in Machine Learning, Artificial Intelligence, and Advanced Analytics. The ideal candidate will have strong expertise in the AWS AI/ML ecosystem and experience building scalable ML solutions that solve complex business problems. This is an exciting opportunity to work with cutting-edge technologies including Amazon SageMaker, Amazon Bedrock, Amazon Q, Apache Iceberg, and enterprise AI platforms while collaborating with cross-functional engineering teams to deliver production-ready AI solutions. Key Responsibilities Design, build, train, and deploy scalable machine learning models using Amazon SageMaker . Develop advanced analytics solutions to solve complex business challenges. Work with large-scale structured and unstructured datasets using Apache Iceberg and distributed data platforms. Build Generative AI solutions leveraging Amazon Bedrock , Amazon Q , and enterprise AI services. Perform exploratory data analysis (EDA), feature engineering, and model optimization. Collaborate with Data Engineers, ML Engineers, and Software Developers to productionize AI/ML models. Develop predictive models, recommendation systems, classification, regression, and NLP solutions. Support enterprise AI initiatives including Agent Core and AI-driven automation platforms. Monitor, evaluate, and continuously improve model performance in production. Communicate analytical findings and recommendations to technical and business stakeholders. Required Qualifications 8+ years of professional experience as a Data Scientist , Machine Learning Engineer, or related role. Strong background in Statistics, Machine Learning, Artificial Intelligence, and Advanced Analytics . Hands-on expertise in Python and SQL . Experience with Python data science libraries including: Pandas NumPy Scikit-learn Matplotlib/Seaborn Strong experience with the AWS Machine Learning ecosystem , especially: Amazon SageMaker AWS AI Services Experience working with large datasets and distributed data processing frameworks. Strong analytical thinking and problem-solving abilities. Excellent communication and collaboration skills. Preferred Qualifications Experience with Generative AI applications. Hands-on experience with Amazon Bedrock . Experience using Amazon Q . Familiarity with Large Language Models (LLMs) . Prompt Engineering experience. Knowledge of NLP use cases and AI-powered enterprise applications. Experience with Apache Iceberg . Exposure to enterprise AI implementation and AI platform modernization. Preferred Technical Skills Python SQL Machine Learning Statistics Predictive Analytics Amazon SageMaker Amazon Bedrock Amazon Q Apache Iceberg Generative AI Large Language Models (LLMs) Prompt Engineering NLP AWS Cloud Data Analytics Why Join Apexon? At Apexon, you'll work on innovative AI and cloud transformation projects alongside talented engineers and data professionals. We foster continuous learning, career growth, and an inclusive environment where innovation thrives. Benefits & Perks Comprehensive Medical, Dental & Vision Insurance 401(k) Retirement Plan Life Insurance Short-Term & Long-Term Disability Coverage Paid Vacation & Company Holidays Paid Parental Leave Flexible Spending Accounts (FSA) Continuous Learning & Upskilling Opportunities Career Growth & Internal Mobility Employee Wellness Programs Show more Show less