Data Scientist Needed for Data Analysis, Machine Learning & Predictive Modeling

We are looking for a skilled Data Scientist to join our project and help transform raw data into actionable business insights. The ideal candidate should have hands-on experience in data analysis, machine learning, statistical modeling, and data visualization. Responsibilities Collect, clean, and preprocess large datasets from various sources. Perform exploratory data analysis (EDA) to identify trends and patterns. Build, train, and evaluate machine learning models. Develop predictive models and recommendation systems. Conduct statistical analysis and hypothesis testing. Create dashboards and visualizations to communicate findings. Collaborate with stakeholders to understand business requirements. Document methodologies, results, and recommendations. Required Skills Strong proficiency in Python and its data science libraries (Pandas, NumPy, Scikit-learn). Experience with machine learning algorithms and model evaluation. Knowledge of SQL for data extraction and manipulation. Experience with data visualization tools such as Matplotlib, Plotly, Power BI, or Tableau. Understanding of statistics and probability concepts. Familiarity with Jupyter Notebook and version control (Git). Ability to communicate complex findings in a clear manner. Preferred Qualifications Experience with deep learning frameworks such as TensorFlow or PyTorch. Knowledge of cloud platforms (AWS, Azure, or GCP). Experience working with real-world business datasets. Master's degree or equivalent experience in Data Science, Statistics, Computer Science, or a related field. We are looking for a reliable professional who can deliver high-quality insights and scalable data solutions. Long-term collaboration opportunities are available for the right candidate.