Rose International | Data Science Analyst TX

5 days ago

plano, United States Rose International Full time

Date Posted: 12/12/2024

Hiring Organization: Rose International

Position Number: 475576

Job Title: Data Science Analyst

Job Location: Plano, TX, USA, 75024

Work Model: Hybrid

Shift: 1st shift; 3 days a week onsite

Employment Type: Temporary

Estimated Duration (In months): 13

Min Hourly Rate ($): 55.00

Max Hourly Rate ($): 65.00

Must Have Skills/Attributes: AWS, Azure, Python, SQL


Job Description

***Only qualified Data Science Analyst candidates located near the Plano, TX area to be considered due to the position requiring an onsite presence***


Education:


• Master’s degree or higher in a relevant analytical field


Experience and Abilities:


• Hands-on experience building and optimizing data solutions using Python (2-3 years)


• 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)


• 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 systems such as GitHub, and 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


This Data Science Analyst role is ideal for someone who will thrive working at the intersection of computational science, predictive modeling, and business consulting. The ideal candidate will excel at analysis, manipulation, and cleaning of data, building predictive and prescriptive models using a variety of theoretical and computational techniques, extract insights from models to help inform business decisions, and present results and recommendations to various business partners and leaders. Additionally, the ideal candidate will also possess the technical expertise to help transition models from development to production and deploy them efficiently. If you have a passion for end-to-end data solutions and enjoy working in a dynamic, collaborative setting, you could be the perfect fit for our team.


Data Science Analyst Responsibilities:


• 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


• 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.

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