Python Developer
Role details
Job location
Tech stack
Job description
We are looking for a motivated Junior Data Scientist to join our data team and contribute to the development of data-driven solutions. This entry-level position offers an excellent opportunity to build your analytical skills, work with real-world datasets, and gain hands-on experience with machine learning and statistical techniques. You'll work closely with senior data scientists and engineers to support various projects and deliver insights that drive decision-making.
If you're curious, eager to learn, and passionate about using data to solve complex problems, we'd love to hear from you.
Responsibilities
· Strong understanding of Object-Oriented Programming (OOP) principles.
· Designing machine learning algorithms. Develop and test machine learning algorithms to address business needs, ensuring high accuracy and scalability.
· Building data pipelines. Design and manage data pipelines that handle large datasets, data preprocessing, feature engineering, and efficient data flow to ensure high-quality input for machine learning models.
· Optimizing models. Use tools like scikit-learn and Keras to fine-tune models for enhanced model performances
· Perform exploratory data analysis to identify patterns and insights.
· Develop and test statistical models and machine learning algorithms under guidance.
· Create user-friendly visualizations to communicate findings.
· Support the development of dashboards and reporting tools for stakeholders.
· Collaborate with team members across departments to understand data needs and project goals.
· Stay updated with new trends and best practices in data science and analytics.
· Document methodologies, data workflows, and project findings for reference and reproducibility.
Requirements
Do you have experience in Tableau?, Do you have a Master's degree?, · Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
· Foundational understanding of data analysis, statistics, and machine learning.
· Proficiency in programming languages such as Python or R.
· Basic knowledge of SQL and working with relational databases.
· Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib.
· Strong problem-solving and critical-thinking skills.
· Eagerness to learn and grow in a fast-paced, collaborative environment.
· Excellent communication skills and a team-focused mindset.
Nice-to-Have Skills
· Exposure to cloud platforms like AWS, Azure, or GCP.
· Experience with data manipulation libraries like pandas or NumPy.
· Familiarity with APIs and working with large datasets.
· Understanding of version control systems like Git.