Data Scientist TX

Date *****

03/06/2025

Hiring *****

Rose International

Position *****

479230

Job *****

Data Scientist

Job *****

Irving, TX, USA, 75039

Work

Hybrid



2 days onsite

Employment

Temporary

Estimated Duration (In months):

7

Min Hourly Rate ($):

65.00

Max Hourly Rate ($):

75.00

Must Have Skills/

AWS, Azure, Hadoop, Python, Spark, SQL

Job Description

Required *****

• Bachelor’s degree

Preferred *****

• PHD or a Master’s

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 *****

• 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 ****

• 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. *

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 *****

For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations website here.