Data Scientist

Job highlights

• . We are seeking highly motivated and talented Data Science freshers with a passion for Artificial Intelligence (AI) and Machine Learning (ML) to join our dynamic team
• Bachelor s or Master s degree in Computer Science,Data Science,Mathematics,Statistics,or a related field

We are seeking highly motivated and talented Data Science freshers with a passion for Artificial Intelligence (AI) and Machine Learning (ML) to join our dynamic team. As a Data Scientist, you will work on cutting-edge AI/ML projects, analyze data, and develop solutions that transform business operations and customer experiences.

Key Responsibilities:

• Collaborate with cross-functional teams to understand business challenges and propose AI/ML-driven solutions.
• Design, develop, and deploy machine learning models to solve real-world problems.
• Work with large datasets to extract insights, clean data, and prepare it for modeling.
• Implement predictive analytics, natural language processing (NLP), and recommendation systems.
• Optimize and evaluate model performance using statistical methods and tools.
• Create clear and comprehensive reports to communicate findings and results to stakeholders.
• Stay updated on the latest trends and advancements in AI/ML technologies.

Required Skills and Qualifications:

• Education: Bachelor s or Master s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.

• Technical Skills:

  • Strong programming skills in Python or R .
  • Familiarity with AI/ML frameworks such as TensorFlow , PyTorch , or Scikit-learn .
  • Hands-on experience with data manipulation and visualization libraries (e.g., Pandas, NumPy, Matplotlib, Seaborn).
  • Knowledge of machine learning algorithms (e.g., regression, classification, clustering).
  • Exposure to natural language processing (NLP) and deep learning techniques is a plus.
  • Basic understanding of cloud platforms (AWS, Azure, or GCP) is an advantage.

• Soft Skills:

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration abilities.

• Eagerness to learn and adapt to new technologies.