Key responsibilities:
- Data Analysis and Modeling: Conduct exploratory data analysis to identify trends, patterns, and insights. Develop and implement machine learning models to solve business problems and improve decision-making processes.
- Data Cleaning and Preprocessing: Clean and preprocess raw data to ensure its quality and suitability for analysis. Collaborate with cross-functional teams to integrate data from different sources and formats.
- Algorithm Development: Work on the design, development, and optimization of algorithms for predictive modeling, classification, clustering, and other machine learning tasks. Evaluate model performance and iterate as needed.
- Visualization and Communication: Create compelling data visualizations to effectively communicate findings and insights to both technical and non-technical stakeholders. Present results and recommendations to the team and key decision-makers.
- Collaboration and Teamwork: Collaborate with other team members to integrate data science solutions into existing systems and processes. Contribute to a culture of innovation and continuous improvement.
Requirements:
- Educational Background: Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
- Technical Proficiency: Strong programming skills in languages such as Python or R. Experience with data manipulation libraries (e.g., pandas, NumPy) and machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Statistical Knowledge: Solid understanding of statistical concepts and methodologies. Ability to apply statistical techniques to analyze data and draw meaningful conclusions.
- Data Processing Skills: Familiarity with data preprocessing techniques, feature engineering, and data cleaning. Experience with SQL for data extraction and manipulation.
- Problem-Solving Skills: Analytical mindset and problem-solving orientation. Ability to approach complex business problems and formulate data-driven solutions.
- Communication Skills: Excellent verbal and written communication skills. Ability to explain technical concepts to non-technical stakeholders and collaborate effectively within a team.
- Adaptability: Eagerness to learn and adapt to new technologies and methodologies. Proactive in staying updated on industry trends and best practices in data science.
- Team Player: Strong interpersonal skills and ability to work collaboratively in a team environment. Willingness to contribute to a positive and innovative team culture.
Please send your CV with the title of the position you are applying for in the “Subject” section.
Mail: recruitment@pasha-insurance.az
