Data Scientist

Data Analysis & Exploration: • Collect, clean, and prepare datasets for analysis. • Perform exploratory data analysis (EDA) to uncover trends, patterns, and insights from raw data. • Visualize and present data findings using tools like Tableau, Power BI, or Matplotlib. Model Development & Evaluation: • Develop and implement machine learning models using algorithms such as regression, classification, and clustering. • Train, test, and evaluate models to ensure accuracy and effectiveness. • Support model deployment and monitor its performance in production environments. Data Processing & Automation: • Collaborate with data engineering teams to process large datasets and create efficient data pipelines. • Write scripts and automate repetitive tasks to streamline data analysis workflows. Collaboration & Reporting: • Work closely with senior team members and stakeholders to translate business requirements into data science solutions. • Present data analysis results and model outcomes in a clear and understandable format. • Document processes, code, and models for reproducibility and knowledge sharing. Additional Responsibilities: • Stay updated on the latest trends and techniques in data science, machine learning, and artificial intelligence. • Participate in team meetings, workshops, and training sessions to enhance skills and knowledge. Requirements: • Education: Bachelor’s Degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field (required). • Experience: 6+ years of hands-on experience in data analysis, data science, or a related field. • Proficiency in Python or R. Knowledge of SQL is a plus. • Familiarity with machine learning libraries such as Scikit-learn, TensorFlow, Keras, or similar. • Experience with data visualization tools like Tableau, Power BI, or Matplotlib. • Basic knowledge of databases (SQL or NoSQL) and data wrangling techniques (cleaning, transforming). • Familiarity with common data science concepts such as regression analysis, classification, and clustering. • Candidates with relevant certifications or bootcamp experience in data science, machine learning, or programming are encouraged to apply. • Experience working with big data technologies (e.g., Hadoop, Spark) is a plus. • Strong problem-solving skills and the ability to work independently or in a team. Skills & Competencies: • Strong analytical and critical thinking skills. • Excellent communication and presentation skills to convey complex ideas to non-technical stakeholders. • Ability to manage multiple projects and meet deadlines in a fast-paced environment. • A passion for continuous learning and staying updated with industry trends.