Data Scientist

Role Name: Data Scientist

Location: Sunrise, FL

Experience Required: 6-10 Years

Job Summary

We are seeking a highly skilled Data Scientist with strong expertise in Python, PostgreSQL, and PyTest to design, develop, and deliver advanced data-driven solutions. This role focuses on building statistical and predictive models, performing deep analytical research, and ensuring high-quality, test-driven data pipelines for enterprise-grade applications.

The ideal candidate is analytical, detail-oriented, and capable of translating complex datasets into actionable business insights while maintaining robust testing and data integrity standards.

Key Responsibilities

Data Modeling & Analytics

• Design, build, and optimize advanced statistical and predictive data models.

• Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.

• Apply statistical techniques and machine learning methods to solve complex business problems.

Data Engineering & Databases

• Develop and optimize data workflows using Python.

• Write efficient, scalable queries using PostgreSQL for large datasets.

• Ensure data quality, consistency, and integrity across data sources.

Testing & Quality Assurance

• Implement automated testing frameworks using PyTest for data pipelines and models.

• Validate model outputs, transformations, and data accuracy.

• Ensure adherence to test-driven development (TDD) and best practices.

Collaboration & Communication

• Work closely with cross-functional teams including Data Engineers, Product Managers, and Business Analysts.

• Translate analytical findings into clear insights, dashboards, and reports for stakeholders.

• Document methodologies, assumptions, and model performance metrics.

Optimization & Continuous Improvement

• Monitor model performance and recalibrate as required.

• Identify opportunities to improve efficiency, scalability, and reliability of data solutions.

• Stay updated with the latest trends in data science, analytics, and testing frameworks.

Required Skills & Experience

Technical Skills

• Strong hands-on experience with Python for data analysis and modeling.

• Proficiency in PostgreSQL, including complex queries and performance tuning.

• Solid experience with PyTest for automated testing of data pipelines and models.

• Experience with statistical analysis, hypothesis testing, and feature engineering.

• Familiarity with data visualization tools (Matplotlib, Seaborn, Plotly, etc.).

Data Science Expertise

• Experience building predictive models using machine learning techniques.

• Knowledge of supervised and unsupervised learning algorithms.

• Strong understanding of data preprocessing, normalization, and validation techniques.

Preferred Qualifications

• Bachelor s or Master s degree in Data Science, Computer Science, Statistics, or a related field.

• Experience working with enterprise-scale or regulated environments.

• Exposure to CI/CD pipelines for data science workflows.

• Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform) is a plus.

Soft Skills & Competencies

• Strong analytical and problem-solving mindset.

• Excellent communication skills with the ability to explain complex concepts simply.

• High attention to detail and commitment to data accuracy.

• Ability to work independently and collaboratively in fast-paced environments.