Data Scientist

We are seeking a highly skilled and motivated Senior Data Scientist with 3-5 years of experience in Artificial Intelligence (AI) and Machine Learning (ML). The ideal candidate will be responsible for driving end-to-end problem-solving initiatives, from understanding the problem to developing predictive and prescriptive models, deploying solutions, and effectively communicating insights to stakeholders. Experience in time-series analysis and CAD/CAE will be considered a strong plus.

• Problem Understanding
  
  
  
  • Collaborate with cross-functional teams to identify and understand business challenges.
  
  
  • Translate business problems into analytical tasks and define the problem scope.
  
  
  
  


• Data Exploration and Preparation
  
  
  
  • Collect, clean, and preprocess large datasets from multiple sources.
  
  
  • Perform exploratory data analysis (EDA) to extract meaningful insights.
  
  
  
  


• Model Development and Time-Series Analysis
  
  
  
  • Design, develop, and optimize AI/ML models to solve complex problems.
  
  
  • Apply advanced techniques to analyze and forecast time-series data.
  
  
  • Implement end-to-end machine learning pipelines, from data ingestion to deployment.
  
  
  
  


• Deployment and Scalability
  
  
  
  • Build and deploy machine learning models into production environments.
  
  
  • Ensure scalability, robustness, and efficiency of deployed models.
  
  
  • Implement MLOps practices for model lifecycle management.
  
  
  
  


• Communication
  
  
  
  • Present technical findings and actionable insights to non-technical stakeholders.
  
  
  • Create visualizations and reports to communicate results effectively.
  
  
  
  


• Continuous Improvement
  
  
  
  • Stay updated with the latest advancements in AI/ML technologies.
  
  
  • Experiment with new tools and techniques to enhance model performance
  
  
  
  

• 3-5 years of hands-on experience in AI/ML model development, deployment, and lifecycle management.

• Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or related fields.

• Proficiency in programming languages like Python.


• Strong knowledge of machine learning algorithms, deep learning frameworks (e. g. , TensorFlow, PyTorch), and optimization techniques.


• Experience working with time-series data analysis and forecasting techniques.


• Expertise in deploying models using cloud platforms (AWS, GCP, Azure) and containerization tools (e. g. , Docker, Kubernetes).


• Excellent communication and presentation skills to convey complex ideas clearly.