Data Scientist

Please Note : Only Green Card Holders are required . No other visas will work . Job Summary We are seeking an experienced Data Scientist with 12+ years in the field to drive advanced machine learning initiatives. You will design, develop, and deploy ML models to solve complex business challenges, leveraging deep expertise in algorithms, software architecture, Python, and related frameworks. This onsite role in Phoenix, AZ, offers the opportunity to impact enterprise-scale data solutions in a collaborative team environment. Key Responsibilities • Architect and implement machine learning models using in-depth knowledge of algorithms (e.g., supervised/unsupervised learning, deep learning, reinforcement learning) to achieve specific business goals. • Develop robust software solutions in Python, with proficiency in libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy, and Hugging Face. • Design scalable software architectures for ML pipelines, including data ingestion, feature engineering, model training, evaluation, and deployment (e.g., using Docker, Kubernetes, or cloud services). • Collaborate with cross-functional teams to translate business requirements into data-driven ML strategies and production-ready models. • Optimize models for performance, interpretability, and efficiency; conduct rigorous testing, A/B experiments, and hyperparameter tuning. • Mentor junior data scientists and contribute to code reviews, best practices, and knowledge sharing. • Stay current with emerging ML trends and integrate them into organizational workflows. Required Qualifications • 12+ years of hands-on experience as a Data Scientist or equivalent role in machine learning and data science. • In-depth expertise in machine learning algorithms, software architecture, and libraries/frameworks to build end-to-end ML models that deliver measurable outcomes. • Rigorous proficiency in Python for software development; strong knowledge of Java is a plus. • Proven track record of deploying ML models in production environments, with experience in cloud platforms (AWS, Azure, GCP). • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field (PhD preferred). • Excellent problem-solving skills, with the ability to handle large-scale datasets and real-world ambiguities. • Strong communication skills to present findings to technical and non-technical stakeholders.