• Leverage data to drive informed decision-making and solve complex business challenges.
• Develop and deploy machine learning models and predictive models.
• Clean, manipulate, and visualize data to extract actionable insights using tools such as Python and data visualization libraries.
• Work with cross-functional teams to interpret data and communicate findings, contributing to strategic initiatives and improving business performance.
• Demonstrate strong problem-solving skills, tackling challenging data science problems and delivering actionable solutions.
• Stay updated with the latest developments in data science and machine learning, adapting to evolving technologies and methodologies.

Required Qualifications:

Formal Academic Background:

Bachelor's, Master's degree in Computer Science, Data Science, Machine Learning, or a related field.

Machine Learning Proficiency:

3+ years of proven experience in creating and deploying machine learning models in production environments.

Phyton

In-depth knowledge of machine learning algorithms and techniques, with hands-on experience in real-world applications.

Familiarity with libraries like TensorFlow, PyTorch, or scikit-learn.

Proficiency in data visualization tools such as Matplotlib/ Seaborn, Tableau(secondary)

SQL and Database Knowledge:

Strong SQL skills and experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases