We are seeking an innovative and detail-oriented Data Scientist (AI Focus) to join our team and work on groundbreaking AI-driven projects. As a Data Scientist, you will use your deep knowledge of machine learning, data analysis, and artificial intelligence to extract meaningful insights from complex data sets, build predictive models, and contribute to AI-powered solutions that drive business decisions.

This role requires a strong foundation in data science principles, as well as the ability to apply advanced machine learning algorithms and AI techniques to real-world problems. You will collaborate closely with other data scientists, engineers, and business leaders to ensure that AI models and solutions align with company goals and objectives.

Key Responsibilities:

• Analyze large, complex datasets and extract valuable insights using statistical and machine learning techniques.
• Develop, train, and deploy machine learning models that drive AI-powered solutions across the organization.
• Implement AI algorithms, including deep learning, natural language processing (NLP), and computer vision, for various applications.
• Build and optimize predictive models for forecasting, recommendation systems, and data-driven decision-making.
• Work with data engineers to clean, preprocess, and transform raw data into a usable format for analysis and modeling.
• Collaborate with product teams and other stakeholders to identify opportunities for AI-driven innovation and business improvement.
• Design and conduct experiments to validate and refine AI models, ensuring continuous model improvement.
• Stay updated on the latest advancements in AI, machine learning, and data science methodologies, applying cutting-edge techniques to projects.

Requirements:

• Bachelor’s or Master’s degree in Data Science, Artificial Intelligence, Computer Science, or a related field.
• Proven experience in building and deploying machine learning and AI models using frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Strong programming skills in Python, R, or similar languages.
• In-depth knowledge of AI concepts, including deep learning, neural networks, NLP, or computer vision.
• Solid understanding of statistical analysis, data mining, and machine learning algorithms.
• Proficiency in SQL and experience with data manipulation and visualization tools such as Pandas, NumPy, and Matplotlib.
• Experience working with large datasets and cloud platforms (AWS, Google Cloud, Azure) is preferred.
• Strong problem-solving skills and ability to communicate complex findings in a clear, actionable manner.
• A passion for AI and the drive to create innovative solutions to real-world challenges.

Preferred Qualifications:

• PhD or advanced degree in Data Science, AI, or related discipline.
• Experience with reinforcement learning, time-series analysis, or anomaly detection.
• Knowledge of big data technologies such as Hadoop, Spark, or Kafka.