Data Scientist NJ

Date Posted: 03052025 Hiring Organization: Rose International Position Number: 479164 Job Title: Data Scientist Job Location: Jersey City, NJ, USA, 07097 Work Model: Hybrid Employment Type: Temporary Estimated Duration (In months): 7 Min Hourly Rate ($): 75.00 Max Hourly Rate ($): 85.00 Must Have SkillsAttributes: AWS, Azure, Hadoop, Python, Spark, SQL Job Description Required Education: • Bachelor's Degree Preferred Education: • PHD or a master's as preferred Qualifications • 5+ years of industry experience as a data scientist, specializing in ML Modeling, Ranking, Recommendations, or Personalization systems. • 5+ years of experience designing and developing scalable and reliable machine learning systems for training, inference, monitoring, and iteration. • Strong background of MLDLLLM algorithms, model architectures, and training techniques. • Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analyticalmodel-building programming languages. • Proficiency with tools and LLMs. • Ability to work independently and collaboratively within a team. Preferred Qualifications: • Experience in GenAILLMs projects. • Familiarity with distributed datacomputing tools (e.g., Hadoop, Hive, Spark, MySQL). • Background in financial business, like banking, risk management. • Should be familiar with capital markets and financial instruments and modeling Job Duties: • Develop plans and coordinate with teams for all analytical efforts. • Manage deliverables in an agile environment and communicate clearly with all model stakeholders. • Present status, issues, and analytical findings to various audience groups like business, technology management, risk review, model governance, etc. • Data modelling and cleaning from internal and external sources. • Build predictive and prescriptive models by manipulating and cleaning results. • Develop, manage, and deploy analytical solutions using Machine Learning (ML), Deep Learning (DL), and Large Language Models (LLMs) to production systems using technology SDLC process. • Implement features through the ML lifecycle (Development, Testing, Training, Production, MonitoringEvaluation) to ensure scalability and reliability. **Only those lawfully authorized to work in the designated country associated with the position will be considered. ** **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements. ** Benefits: For information and details on employment benefits offered with this position, please visit here. Should you have any questionsconcerns, please contact our HR Department via our secure website. California Pay Equity: For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.

Created: 2025-03-09