Analyst, Data Science

Rose's Agency • Plano, TX

430d

About The Position

The Data Science Analyst position at Rose International in Plano, TX, is a temporary role focused on leveraging data science techniques to drive business decisions. The ideal candidate will work at the intersection of computational science and business consulting, utilizing statistical and machine learning methods to build predictive models and extract actionable insights from data. This role requires a proactive approach to problem-solving and effective communication of findings to stakeholders.

Requirements

• Master's degree or higher in a relevant analytical field
• 2-3 years of hands-on experience building and optimizing data solutions using Python
• Experience solving problems using a variety of statistical and machine learning techniques
• Hands-on experience using statistical or machine learning frameworks (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
• Experience with version control systems such as GitHub and familiarity with CI/CD practices
• Hands-on experience with cloud-based machine learning platforms (e.g., AWS SageMaker or Azure ML)
• Demonstrated ability to lead through influence and navigate complex cross-departmental projects
• Capability to replace and bridge existing legacy infrastructure and processes

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

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Industry: Administrative and Support Services
• Education Level: Master's degree