Job Description:
We are seeking a skilled and analytical Data Scientist with a strong focus on SQL and Python to join our dynamic team. The ideal candidate will have hands-on experience in extracting, analyzing, and interpreting complex datasets to drive business insights and solutions. You will work closely with cross-functional teams to support data-driven decision-making, leveraging advanced statistical methods, data modeling, and machine learning techniques.
Key Responsibilities:
- Data Extraction & Analysis: Design and implement efficient SQL queries to extract, transform, and analyze large datasets from multiple data sources.
- Data Cleaning & Preprocessing: Utilize Python to clean, preprocess, and manipulate structured and unstructured data for analysis.
- Statistical Analysis: Apply statistical models and techniques to uncover patterns, trends, and insights from data.
- Machine Learning: Build and optimize machine learning models in Python for predictive analytics, recommendation systems, and classification tasks.
- Data Visualization: Create clear and concise data visualizations using tools like Matplotlib, Seaborn, or Plotly to communicate findings and insights.
- Collaboration: Work closely with product managers, engineers, and other stakeholders to understand business challenges and develop data-driven solutions.
- Reporting & Dashboarding: Develop and maintain automated reports and dashboards, providing real-time insights into key business metrics.
- Data Integrity & Optimization: Ensure data accuracy, consistency, and security by implementing data validation techniques and optimizing database queries.
- A/B Testing: Design, conduct, and analyze A/B tests to evaluate business strategies and improve decision-making processes.
- Continuous Improvement: Stay up-to-date with the latest developments in data science, Python libraries, and SQL optimization techniques, and apply these advancements to ongoing projects.
