Data Scientist - Machine Learning (5-10 yrs)

Key Responsibilities :

- Data Analysis & Modeling : Clean, process, and analyze raw data; build and implement statistical models and machine learning algorithms.

- Database Management : Manage databases (RDBMS, NoSQL, and Blob storage), ensuring optimal performance, data integrity, and security.

- Data Validation & Pre-processing : Validate and pre-process data to maintain high-quality datasets for modeling.

- Data Visualization & Reporting : Create data visualizations and reports to communicate insights to stakeholders.

- Cross-Functional Collaboration : Collaborate with product, marketing, and engineering teams.

- Continuous Learning : Stay updated with trends in data science and machine learning.

Required Skills & Qualifications :

- 5+ years of hands-on experience in Data Science or related fields.

- Proficiency in RDBMS (MySQL, PostgreSQL), NoSQL (MongoDB), and Blob storage for managing unstructured data.

- Strong skills in Python, R, SQL, and data manipulation libraries (Pandas, NumPy).

- Expertise in machine learning, statistical modeling, and data visualization (e.g., Tableau, Power BI).

- Excellent analytical and problem-solving abilities.

- Strong communication skills to explain complex data insights.

Preferred Qualifications :

- Experience in Retail, Healthcare, or Finance industries.

- Familiarity with cloud platforms (AWS, Azure) and data pipelines.

- Knowledge of data engineering tools.