Senior Data Scientist

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Leading Insurance Company is Hiring a Senior Data Scientist

Job Overview:

Machine Learning (ML) Problem Identification and Definition: Understanding business needs and operations across various organizational units, identifying opportunities to implement ML-based solutions.
Establish Complex Data Structures: Designing and implementing advanced data infrastructures to support model development and utilization by business units.
Advanced Data Analysis: Utilizing advanced data tools to perform in-depth analyses and developing analytics to address business challenges.
Development, Validation, and Implementation of Statistical Models: Creating statistical models, validating their accuracy and relevance, explaining models in business terms, deploying models in production environments, and performing post-implementation validation.
Visual Data Investigation: Using BI tools such as Tableau and/or PowerBI to visualize data and insights.

Requirements:

Bachelor's degree (BSc) in Statistics, Mathematics, Computer Science, Industrial Engineering & Management, or other relevant fields.
At least 4 years of experience as a Data Scientist, capable of leading end-to-end projects, including model development, deployment, maintenance, and monitoring in production environments.
Proven experience and expertise in performing complex SQL queries on large-scale databases.
Advanced Python skills, including experience with libraries such as Pandas, Numpy, scikit-learn, Seaborn, Matplotlib.
Knowledge of Statistical Models (ML): In-depth understanding of models such as Boosting, Random Forest, GLM, XGBoost regression, Clustering, PCA, and SVM.
Deep Learning Familiarity: Including experience with libraries such as TensorFlow and PyTorch, understanding of neural networks, CNN, RNN, and LSTM – significant advantage.
High Analytical and Technical Capabilities: Ability to analyze complex problems and propose data-driven solutions.
Systemic Thinking and Process Understanding: Initiative-driven, systemic perspective, and capability to understand complex processes.
Experience in Financial Organizations: An advantage.

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