Data Scientist

Job Title: Data Scientist / Machine Learning Engineer Location: San Antonio / Plano, TX Experience: Mid–Senior Level • • • We are looking for candidates who can work on W2. About the Role We are looking for a talented Data Scientist / ML Engineer to design, build, and deploy advanced analytical models that drive business insights. This role requires hands-on expertise in machine learning workflows, model development, and production deployment, along with strong coding and problem-solving skills. Key Responsibilities • Design, develop, and test advanced machine learning models to solve complex business problems • Build and manage end-to-end ML workflows, including data preparation, modeling, deployment, and monitoring • Analyze and process structured and unstructured data to generate actionable insights • Select appropriate modeling techniques based on data, use case, and business requirements • Develop scalable models for high-volume data environments, including clickstream and session-level analytics • Implement and optimize models using techniques such as: • Regression, Classification, Clustering • Decision Trees, Random Forest, XGBoost • SVM, Gradient Boosting, Bayesian models • Build deep learning models using frameworks like TensorFlow, Keras, or PyTorch • Apply NLP and text analytics using tools like NLTK and SpaCy • Ensure model governance, monitoring, and performance tracking in production • Collaborate with cross-functional teams and communicate insights effectively • Contribute to building modular, reusable, and high-quality analytics code Required Skills & Qualifications • Strong hands-on experience in Machine Learning model development and workflows • Proficiency in Python, R, and SQL • Experience with Python libraries such as: • NumPy, SciPy, Scikit-learn • Exposure to deep learning frameworks (TensorFlow / PyTorch / Keras) • Experience in model deployment, governance, and monitoring • Strong understanding of data science lifecycle and best practices • Familiarity with NLP / Text Analytics • Ability to build clean, efficient, and testable code • Excellent communication and problem-solving skills Nice to Have • Experience with clickstream or large-scale behavioral data • Exposure to GUI-based analytics tools or application interfaces • Experience working in Agile environments