Senior Data Scientist
2 months ago
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**Key Responsibilities**:
- Lead the development and implementation of data science models, including machine learning, deep learning, and statistical models to address business challenges.
- Design, develop, and optimise end-to-end data pipelines to extract, transform, and load data for analysis.
- Collaborate with cross-functional teams to identify and deliver impactful data insights that influence business decisions.
- Mentor junior data scientists and data engineers, providing guidance on best practices and model development.
- Work with large datasets to build predictive models and perform data-driven decision-making.
- Deploy and manage machine learning models in production environments on **cloud platforms** (AWS or Azure).
- Collaborate with stakeholders to define project objectives, scope, and deliverables.
**Required Skills and Qualifications**:
- Bachelor’s or Master’s degree in Data Science, Mathematics, Computer Science, Statistics, or a related field.
- **5+ years of experience** in data science, machine learning, or a related role.
- Proficiency in **Python** for data analysis, machine learning, and statistical modelling.
- Experience with **cloud technologies** such as **AWS** or **Azure** for building and deploying models.
- Strong experience with SQL for querying databases and manipulating data.
- Experience working with libraries and frameworks such as **Pandas, NumPy, Scikit-learn**, and **TensorFlow** or **PyTorch**.
- Solid understanding of machine learning algorithms, including regression, classification, clustering, and deep learning.
- Experience in data visualisation tools such as **PowerBI**, **Tableau**, or **Matplotlib**.
- Excellent problem-solving skills and ability to communicate complex ideas effectively to both technical and non-technical stakeholders.
**Preferred Qualifications**:
- Experience with **CI/CD pipelines** for machine learning models.
- Strong understanding of **MLOps** and managing machine learning lifecycle in production environments.
- Certification in **AWS** or **Azure** (e.g., AWS Certified Machine Learning Specialty, Microsoft Azure AI Engineer Associate).
- Familiarity with natural language processing (NLP) and deep learning models.
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