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À propos
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.
Compétences linguistiques
- English
Avis aux utilisateurs
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