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. (ref:hirist.tech),
Employement Category:
Employement Type: Full time Industry: IT Services & Consulting Role Category: Not Specified Functional Area: Not Specified Role/Responsibilies: Data Scientist - Machine Learning Job in