Data Science Intern (Remote)
Optimspace
About Optimspace:
Optimspace is a forward-thinking technology company committed to delivering innovative data-driven digital solutions. We are currently seeking a motivated and analytical Data Science Intern to join our remote team. This internship offers a unique opportunity to work on real-world data projects that directly influence business strategies and decision-making.
Role Overview:
As a Data Science Intern youll contribute to every stage of the data science lifecyclefrom data preparation and exploration to model development and insight generation. This is a hands-on role designed for individuals eager to apply their knowledge in a collaborative fast-paced environment.
Key Responsibilities:
- Collect clean and preprocess data for analysis and machine learning.
- Assist in developing predictive models and implementing machine learning algorithms.
- Perform statistical analysis and generate meaningful data visualizations.
- Collaborate with cross-functional teams to understand project objectives and requirements.
- Present insights and data-driven recommendations through reports and presentations.
- Help fine-tune models for accuracy scalability and performance.
- Stay current with industry trends tools and best practices in data science and AI.
- Support ongoing data science initiatives and contribute to innovative solutions.
Qualifications:
- Currently pursuing a degree in Data Science Computer Science Statistics or a related field.
- Strong analytical and problem-solving skills.
- Proficiency in Python R or SQL for data analysis and modeling.
- Familiarity with machine learning frameworks such as scikit-learn TensorFlow or PyTorch.
- Experience with data visualization tools (e.g. Tableau Power BI Matplotlib or Seaborn).
- Ability to work independently and collaboratively in a remote environment.
- Effective communication skills and the ability to explain technical findings clearly.
- Detail-oriented with a passion for uncovering insights and solving problems with data.