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Senior Data Scientist
The ideal candidate will have a strong background in statistical modeling, machine learning, and data visualization. You will be responsible for developing and implementing advanced analytical models to drive business decisions, collaborating with cross-functional teams to understand their data needs, and communicating complex findings to both technical and non-technical audiences.
Requirements
- Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
- 5+ years of experience in data science or a related role.
- Proficiency in Python or R, including relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
- Experience with SQL and database management.
- Strong understanding of statistical concepts and machine learning algorithms.
- Excellent problem-solving and analytical skills.
- Ability to communicate technical concepts clearly and effectively.
- Experience with cloud platforms (AWS, Azure, GCP) is a plus.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
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Responsibilities
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- Data exploration
- Feature engineering
- Model training and evaluation
- Deployment of models into production environments
- Mentoring junior data scientists
- Contributing to the team's knowledge base
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