Job Description

Key Responsibilities:

Analyze structured and unstructured data to extract valuable insights. Develop, implement, and optimize machine learning algorithms and models. Collaborate with cross-functional teams to identify opportunities for leveraging data to solve business problems. Communicate findings and recommendations effectively to stakeholders. Build and maintain dashboards and reports to track business metrics.

Qualifications:

Proficiency in Python, R, SQL, and data visualization tools (e.g., Tableau, Power BI). Strong experience with machine learning libraries (e.g., TensorFlow, scikit-learn, Keras). Solid understanding of statistical methods and data analysis techniques. Experience working with large datasets and cloud-based platforms (AWS, Google Cloud, etc.). Strong problem-solving skills and ability to think critically.

Preferred Qualifications:

Master's or PhD in Computer Science, Statistics, Mathematics, or related field. Experience with big data technologies like Hadoop, Spark. Familiarity with deep learning and AI technologies.
Job Types: Full-time, Permanent, Contractual / Temporary

Pay: ?559,869.15 - ?3,500,000.00 per year

Benefits:

Health insurance Paid sick time Provident Fund
Schedule:

Day shift Morning shift
Work Location: In person