Data Scientist

Responsibilities

• Collect, clean, and preprocess structured and unstructured data from various sources.
• Develop and deploy machine learning models to solve business challenges.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and correlations.
• Build and maintain predictive models for forecasting and decision-making.
• Work with big data technologies to process and analyze large datasets.
• Collaborate with cross-functional teams to develop data-driven solutions.
• Present findings and insights through visualizations and reports.
• Optimize model performance using feature engineering and hyperparameter tuning.
• Stay updated with emerging trends and advancements in data science and AI.

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
• Minimum 2 years of experience in data science, analytics, or machine learning.
• Proficiency in Python (Pandas, NumPy, Scikit-Learn) or R.
• Experience with SQL and NoSQL databases for data extraction and processing.
• Knowledge of machine learning algorithms, deep learning frameworks (TensorFlow, PyTorch), and NLP.
• Hands-on experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).
• Familiarity with big data technologies (Hadoop, Spark) is a plus.
• Strong problem-solving skills and ability to work with complex datasets.
• Experience deploying models using MLOps tools is a bonus.