Job Summary
We are looking for a passionate and analytical Data Scientist (Fresher) to join our team. The ideal candidate should have a strong foundation in statistics, machine learning, Python programming, and data analysis. You will work with large datasets, develop predictive models, and help solve business problems using data-driven insights.
Key Responsibilities
- Collect, clean, and preprocess structured and unstructured data.
- Analyze large datasets to identify trends and actionable insights.
- Build and evaluate machine learning models.
- Perform exploratory data analysis (EDA).
- Create dashboards and visualizations using Power BI, Tableau, or Matplotlib.
- Develop predictive and classification models.
- Collaborate with cross-functional teams to understand business requirements.
- Document findings and present insights to stakeholders.
- Stay updated with the latest trends in AI, Machine Learning, and Data Science.
Required Skills
- Strong knowledge of Python (Pandas, NumPy, Scikit-learn)
- Basic understanding of Machine Learning algorithms
- Knowledge of SQL and database concepts
- Statistics and Probability fundamentals
- Data Cleaning and Feature Engineering
- Data Visualization (Power BI, Tableau, Matplotlib, or Seaborn)
- Basic understanding of Deep Learning is a plus
- Familiarity with Git is an advantage
Educational Qualification
- Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Information Technology, or a related field.
- Recent graduates are encouraged to apply.
Preferred Skills
- Experience with projects in Machine Learning or AI.
- Knowledge of TensorFlow or PyTorch.
- Exposure to cloud platforms such as AWS, Azure, or GCP is a plus.
- Familiarity with NLP or Computer Vision is an added advantage.
Soft Skills
- Strong analytical and problem-solving skills
- Good communication and presentation skills
- Quick learner with a positive attitude
- Ability to work independently and in a team environment
Pay: $25.00 per hour
Work Location: In person