Position Overview
We are seeking a Data Scientist to leverage data, statistical analysis, and machine learning techniques to identify business opportunities, solve complex problems, and drive data-informed decision-making. This individual will work closely with cross-functional teams to develop predictive models, uncover trends, and translate complex datasets into actionable business insights.
Key Responsibilities
- Collect, clean, process, and analyze large datasets from multiple sources.
- Develop and implement statistical models and machine learning algorithms to solve business problems.
- Identify trends, patterns, and insights to support strategic business decisions.
- Build, test, and optimize predictive models and analytical solutions.
- Collaborate with engineering, product, and business teams to understand requirements and deliver data-driven solutions.
- Develop dashboards, reports, and visualizations to communicate findings to stakeholders.
- Monitor model performance, validate results, and continuously improve analytical solutions.
- Present complex technical findings in a clear and actionable manner to both technical and non-technical audiences.
Required Qualifications
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Experience working with Python and/or R for data analysis and modeling.
- Strong SQL skills and experience working with relational databases.
- Knowledge of statistical analysis, machine learning, and predictive modeling techniques.
- Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
- Strong analytical, problem-solving, and critical-thinking skills.
- Excellent communication and collaboration abilities.
Preferred Qualifications
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience working with large datasets and data processing frameworks.
- Knowledge of data pipelines, ETL processes, and data engineering concepts.
- Experience deploying machine learning models into production environments.
Core Competencies
- Statistical Modeling & Predictive Analytics
- Machine Learning & AI
- Python / R / SQL
- Data Visualization & Reporting
- Data Mining & Data Manipulation
- Business Intelligence
- Problem Solving & Critical Thinking
Data Scientist in Palm Beach Gardens at Leeds Professional Resources
This position is listed as full time and onsite. It was posted 3 days ago.