Job Description
Date Posted: 03/06/2025
Hiring Organization: Rose International
Position Number: 479230
Job Title: Data Scientist
Job Location: Irving, TX, USA, 75039
Work Model: Hybrid
Shift: 2 days onsite
Employment Type: Temporary
Estimated Duration (In months): 7
Min Hourly Rate($): 65.00
Max Hourly Rate($): 75.00
Must Have Skills/Attributes: AWS, Azure, Hadoop, Python, Spark, SQL
Job Description
Required Education:
Bachelor's degree
Preferred Education:
PHD or a Master's
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. Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances. If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department. Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.). Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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- Dice Id: roseint
- Position Id: 479230
Job Tags
Hourly pay, Full time, Temporary work, Shift work,