What are the responsibilities and job description for the Data Scientist (Machine Learning) position at SysMind?
Job Description
- Strong proficiency in programming languages such as Python, R, or Scala, as well as experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy).
- Solid understanding of statistical concepts and techniques, such as hypothesis testing, regression analysis, and time series forecasting.
- Experience with machine learning algorithms and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch) for classification, regression, clustering, and anomaly detection.
- Knowledge of banking or financial services domains, including customer behavior modeling, credit risk assessment, fraud detection, and marketing analytics.
- Experience working with big data technologies and platforms (e.g., Hadoop, Spark, Kafka) is a plus.
- Excellent analytical and problem-solving skills, with the ability to work independently and collaboratively in a fast-paced environment.
- Strong communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders effectively.
- Proven track record of delivering high-quality, actionable insights and solutions that drive business impact in a banking or financial services context.
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