
AI Data Scientist
4 days ago
We are seeking a seasoned data scientist to develop cutting-edge analytics models using advanced statistical and machine learning techniques.
Key Responsibilities:- Analyse business requirements and design suitable analytics solutions leveraging statistical and machine learning algorithms.
- Develop machine learning algorithms to drive personalized customer experiences and provide actionable business insights.
- Apply expertise in data mining and machine learning techniques, including forecasting, prediction, segmentation, recommendation, and fraud detection.
- Enhance company data by integrating third-party data sources to enrich analytics capabilities.
- Improve data collection procedures to include necessary information for building robust analytics systems.
- Prepare raw data for analysis, including cleaning, imputing missing values, and standardizing data formats using Python data frameworks (e.g., Pandas, NumPy).
- Implement machine learning models considering both performance and scalability using tools like PySpark in Databricks.
- Design and build infrastructure to facilitate large-scale data analytics and experimentation.
- Work with tools like Jupyter Notebooks for data exploration and model development.
Educational Background: Bachelor's or Master's degree in Computer Science, Mathematics, Physics, or related fields. A PhD is preferred but not necessary.
Technical Skills:
- Strong experience with Python-based machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Proficiency in using analytics platforms like Databricks for large-scale data processing.
- At least 4 years of continuous experience with Spark, particularly PySpark implementation.
- Hands-on experience with data processing and analysis tools such as Pandas, NumPy, and Jupyter Notebooks.
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