Data Scientist

Pay Rate: $74.00 - $78.00 Negotiable based upon years of experience Global Financial Firm located in RUTHERFORD, NJ has an immediate contract opportunity for an experienced Data Scientist Summary • Immediate contract opportunity for an experienced professional • Location: Rutherford, NJ • Role involves establishing and implementing new or revised applications and programs in the Technology team • Focus on data extraction and analysis from structured and unstructured sources • Develop systems to clean results and build predictive and prescriptive models • Implement models in a production environment • Address complex problems involving financial data with a focus on credit risk management • Open to learning new and advanced models in LLM and GenAI Responsibilities • Architect, design, and implement robust Python-based solutions • Lead global technology teams across different time zones, enabling a hybrid work model • Drive Object-Oriented Programming (OOPS) principle-based development • Mentor team members to leverage advanced Python coding techniques and features • Partner with multiple management teams for integration of functions and system enhancements • Resolve high impact problems/projects through in-depth evaluation of complex business processes • Provide expertise in applications programming and ensure design adheres to architecture blueprint • Develop standards for coding, testing, debugging, and implementation • Provide in-depth analysis with interpretive thinking for defining issues and developing solutions • Serve as advisor or coach to mid-level developers and analysts • Implement Unit Testing and TDD to ensure software quality and maintainability • Assess risk when making business decisions, demonstrating consideration for the company's reputation Requirements • PhD or master’s degree in computer science, data science, statistics, mathematics, engineering, or related field • 5 years of industry experience specializing in ML modeling, ranking, recommendations, or personalization systems • 5 years of experience designing and developing scalable and reliable machine learning systems • Strong background in ML/DL/LLM algorithms, model architectures, and training techniques • Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical/model-building programming languages • Ability to work independently and collaboratively within a team Preferred Skills • Experience in GenAI/LLMs projects • Familiarity with distributed data/computing tools (e.g., Hadoop, Hive, Spark, MySQL) • Background in financial business like banking, risk management • Familiarity with capital markets and financial instruments and modeling