Overview
On Site
Hybrid
USD 60.00 per hour
Full Time
Skills
Analytical Skill
Pandas
NumPy
Problem Solving
scikit-learn
PyTorch
TensorFlow
Logistic Regression
Time Series
Modeling
Statistics
Predictive Modelling
Decision Trees
Version Control
GitHub
Continuous Integration
Continuous Delivery
Management
Amazon SageMaker
Microsoft Azure
Snow Flake Schema
Netezza
Microsoft SQL Server
SAS
Cash Flow
Financial Analysis
Business Strategy
Microsoft Excel
SQL
Machine Learning (ML)
Cloud Computing
Software Development
Python
Project Planning
Job Details
Date Posted: 10/03/2025
Hiring Organization: Rose International
Position Number: 489551
Industry: Financial Services
Job Title: Analyst Data Science
Job Location: Plano, TX, USA, 75024
Work Model: Hybrid
Work Model Details: Hybrid (4 days onsite 1 day remote in a week)
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 13
Min Hourly Rate($): 60.00
Max Hourly Rate($): 66.17
Must Have Skills/Attributes: Methodology, Python, Snowflake, SQL, Statistical Analysis System
Experience Desired: Experience with software development using Python Pandas, and Numpy (7+ yrs)
Required Minimum Education: Master's Degree
**C2C is not available**
Job Description
Required Education:
Master's degree or higher in a relevant analytical field.
Required Qualifications:
Highly proficient with SQL
Hands-on experience with software development using Python Pandas, and Numpy
Experience solving problems using a variety of statistical and machine learning techniques.
Hands-on experience using statistical or machine learning frameworks to solve a variety of real-world problems (e.g., statsmodels, scikit-learn, PyTorch, TensorFlow, etc).
Knowledge of methods like Logistic Regression, Time Series Analysis, GLMs, Mixed Modeling, Multivariate Statistics, Predictive Modeling, Decision Trees, Gradient-Boosted Trees, Random Forests, and Neural Networks.
Proactive approach to identifying problems and developing innovative solutions.
Experience with version control in GitHub
Preferred Qualifications:
Familiarity with CI/CD practices to streamline model deployment and code management.
Hands-on experience with cloud-based machine learning platforms (e.g., AWS SageMaker or Azure ML) to leverage scalable computing resources and tools.
Demonstrated ability to lead through influence, effectively navigating and prioritizing complex cross-departmental projects to drive impactful change.
Capability to replace and bridge existing legacy infrastructure and processes.
Experience with the Snowflake, Netezza, or Microsoft SQL environment
Experience with SAS programming language
Understanding of cashflow financial analysis and its implications for business strategy is highly desirable.
Job Responsibilities:
The ideal candidate will excel in manipulating, analyzing, and cleaning data, using predictive and prescriptive models to extract actionable insights that inform business decisions.
Proficient in programming with Python, leveraging it to build robust models and ensure seamless deployment from development to production.
Present results and recommendations effectively to business partners and leaders is essential.
Passion for end-to-end data solutions and enjoy working in a dynamic, collaborative setting, you could be the perfect fit for our team
Work closely with team members and business partners to identify and prioritize key questions and drive impactful data-based decisions.
Extract, manipulate, and clean data from diverse sources using SQL and Python, preparing it for detailed analysis and model development.
Develop and implement sophisticated predictive and prescriptive models using statistical and machine learning techniques. Ensure these models address key business challenges and deliver actionable insights.
Create clear, compelling data visualizations to effectively communicate findings to both technical and non-technical stakeholders.
Effectively and efficiently transition models from development to production within the organization's existing cloud ecosystem.
Software development with a Python environment
Participate actively in project planning and prioritization sessions to ensure data initiatives align with business goals.
Stay updated with the latest industry trends and tools and integrate this knowledge to improve methodologies and solutions.
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.).
Hiring Organization: Rose International
Position Number: 489551
Industry: Financial Services
Job Title: Analyst Data Science
Job Location: Plano, TX, USA, 75024
Work Model: Hybrid
Work Model Details: Hybrid (4 days onsite 1 day remote in a week)
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 13
Min Hourly Rate($): 60.00
Max Hourly Rate($): 66.17
Must Have Skills/Attributes: Methodology, Python, Snowflake, SQL, Statistical Analysis System
Experience Desired: Experience with software development using Python Pandas, and Numpy (7+ yrs)
Required Minimum Education: Master's Degree
**C2C is not available**
Job Description
Required Education:
Master's degree or higher in a relevant analytical field.
Required Qualifications:
Highly proficient with SQL
Hands-on experience with software development using Python Pandas, and Numpy
Experience solving problems using a variety of statistical and machine learning techniques.
Hands-on experience using statistical or machine learning frameworks to solve a variety of real-world problems (e.g., statsmodels, scikit-learn, PyTorch, TensorFlow, etc).
Knowledge of methods like Logistic Regression, Time Series Analysis, GLMs, Mixed Modeling, Multivariate Statistics, Predictive Modeling, Decision Trees, Gradient-Boosted Trees, Random Forests, and Neural Networks.
Proactive approach to identifying problems and developing innovative solutions.
Experience with version control in GitHub
Preferred Qualifications:
Familiarity with CI/CD practices to streamline model deployment and code management.
Hands-on experience with cloud-based machine learning platforms (e.g., AWS SageMaker or Azure ML) to leverage scalable computing resources and tools.
Demonstrated ability to lead through influence, effectively navigating and prioritizing complex cross-departmental projects to drive impactful change.
Capability to replace and bridge existing legacy infrastructure and processes.
Experience with the Snowflake, Netezza, or Microsoft SQL environment
Experience with SAS programming language
Understanding of cashflow financial analysis and its implications for business strategy is highly desirable.
Job Responsibilities:
The ideal candidate will excel in manipulating, analyzing, and cleaning data, using predictive and prescriptive models to extract actionable insights that inform business decisions.
Proficient in programming with Python, leveraging it to build robust models and ensure seamless deployment from development to production.
Present results and recommendations effectively to business partners and leaders is essential.
Passion for end-to-end data solutions and enjoy working in a dynamic, collaborative setting, you could be the perfect fit for our team
Work closely with team members and business partners to identify and prioritize key questions and drive impactful data-based decisions.
Extract, manipulate, and clean data from diverse sources using SQL and Python, preparing it for detailed analysis and model development.
Develop and implement sophisticated predictive and prescriptive models using statistical and machine learning techniques. Ensure these models address key business challenges and deliver actionable insights.
Create clear, compelling data visualizations to effectively communicate findings to both technical and non-technical stakeholders.
Effectively and efficiently transition models from development to production within the organization's existing cloud ecosystem.
Software development with a Python environment
Participate actively in project planning and prioritization sessions to ensure data initiatives align with business goals.
Stay updated with the latest industry trends and tools and integrate this knowledge to improve methodologies and solutions.
- **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.