Data Scientist

Axelon Services Corporation

Rutherford, New Jersey

$157,418 per year - estimated ?

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