Junior Data Scientist
Skills
Analytical SkillsData ScienceData VisualizationGood Clinical PracticeGoogle Cloud PlatformPredictive AnalyticsProbability
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 0-2 years of experience or knowledge in Data Science or Machine Learning
- Strong knowledge of Python and SQL
- Basic understanding of Statistics and Probability
- Familiarity with Machine Learning algorithms
- Knowledge of Pandas NumPy Scikit-learn TensorFlow or PyTorch
- Experience with Tableau or Power BI
- Basic understanding of AWS Azure or GCP cloud platforms
- Familiarity with Git Jupyter Notebook and Linux
- Strong analytical communication and problem-solving skills
- Ability to work independently and collaboratively in a remote environment
Nice to have
- Analytical
- Detail-oriented
- Collaborative
- Curious
- Adaptable
Day to day
- Collect, clean, and preprocess structured and unstructured data to prepare reliable datasets for analysis.
- Analyze large datasets to uncover trends patterns and actionable business insights.
- Develop implement and optimize machine learning models and visualizations to support data-driven decisions.
- Collaborate with cross-functional teams and present technical findings clearly to stakeholders.