Data Scientist Intern.

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.
 
Deadline for applications: 19.02.2024 
Please send your CV to [email protected] with the title of the position you are applying for in the "Subject" section.