Data Scientist Intern

İşin təsviri

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.

İşəgötürənin reytinqi

PASHA Insurance tərəfindən digər vakansiyalar

• Business analyst intern
• Satış üzrə təcrübəçi (Lənkəran)
• Satış üzrə assistent (Qazax)
• Satış üzrə assistent (Ağsu)
• Əməliyyat Risklərin İdarəolunması üzrə aparıcı mütəxəssis/baş mütəxəssis