Jr Data Scientist

Key Responsibilities

• Collect, clean, and preprocess structured and unstructured data.
• Analyze datasets to identify trends, patterns, and actionable insights.
• Auxiliary in developing, training, and evaluating machine learning models.
• Support AI initiatives, including predictive analytics and model optimization.
• Create reports, dashboards, and visualizations to communicate findings.
• Work with SQL databases to extract and manipulate data.
• Collaborate with data engineers to maintain reliable data pipelines.
• Perform statistical analysis and hypothesis testing.
• Auxiliary in deploying machine learning models into production environments.
• Document methodologies, model performance, and project outcomes.
• Collaborate with cross-functional teams to solve business problems using data.

Required Qualifications

• Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, Information Technology, or a related field.
• Basic understanding of machine learning algorithms and statistical concepts.
• Knowledge of Python, SQL, and data analysis libraries.
• Familiarity with data visualization tools such as Power BI or Tableau.
• Understanding of supervised and unsupervised learning techniques.
• Basic knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform) is a plus.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively in a team environment.