Demo

Data Scientist NJ

Rose International
Jersey, NJ Temporary
POSTED ON 3/10/2025
AVAILABLE BEFORE 6/10/2025

Date Posted : 03 / 05 / 2025

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 Skills / Attributes : 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 ML / DL / LLM algorithms, model architectures, and training techniques.
  • Proficiency in Python, SQL, Spark, PySpark, TensorFlow or other analytical / model-building programming languages.
  • Proficiency with tools and LLMs.
  • Ability to work independently and collaboratively within a team.
  • Preferred Qualifications :

  • 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.
  • 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, Monitoring / Evaluation) 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 questions / concerns, 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.

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