Senior Data Scientist

Posted on April 30, 2025

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Job Description

  • Job Title: Senior Data Scientist
  • Experience Level: 9-10 Years
  • Job Overview: We are seeking an experienced Data Scientist to join our AI team and lead the development of cutting-edge artificial intelligence solutions. You will work on complex projects involving machine learning, deep learning, and advanced analytics to drive innovation and solve challenging problems. As a senior member, you will also mentor team members and contribute to the strategic direction of AI initiatives.
  • Key Responsibilities:
  • � Design and implement machine learning models and algorithms to solve AI-specific challenges.
  • � Develop and optimize deep learning architectures for tasks such as computer vision, natural language processing, and recommendation systems.
  • � Collaborate with cross-functional teams to integrate AI solutions into products and services.
  • � Analyze large datasets to extract insights and improve AI model performance.
  • � Research and experiment with emerging AI technologies and methodologies.
  • � Build and maintain scalable data pipelines for AI model training and deployment.
  • � Ensure the ethical use of AI and compliance with data privacy regulations.
  • � Present findings and AI solutions to stakeholders in a clear and actionable manner.
  • � Mentor junior data scientists and engineers in AI techniques and best practices.
  • Required Skills and Qualifications:
  • � Proven experience as a Data Scientist with a focus on AI and machine learning.
  • � Expertise in programming languages such as Python, R, or Julia.
  • � Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Keras).
  • � Proficiency in deep learning techniques and neural networks.
  • � Experience with big data tools like Hadoop, Spark, or Kafka.
  • � Familiarity with cloud platforms (AWS, Azure, or Google Cloud) for AI model deployment.
  • � Excellent problem-solving and analytical skills.
  • � Strong communication and leadership abilities.
  • Preferred Qualifications:
  • � Experience with reinforcement learning and generative AI models.
  • � Knowledge of ethical AI practices and data governance.
  • � Familiarity with Agile methodologies and DevOps practices.

Required Skills

hadoop spark or kafka. � familiarity with cloud platforms (aws azure or google cloud) for ai model deployment.