Data Scientist

2 days ago

Fort Lauderdale, FL, United States Purple Drive Full time
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 GCP) 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.

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