Junior Data Scientist

Senior Data Scientist

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  Analyze large and complex datasets to extract actionable insights and trends.



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  Develop, implement, and optimize ML/AI models for predictive and prescriptive analytics.



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  Collaborate with engineering, product, and business stakeholders to deliver data-driven solutions.



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  Design, build, and maintain scalable data pipelines using Python, R, SQL, or related tools.



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  Communicate insights through compelling visualizations and data storytelling.



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  Evaluate, test, and improve model performance, accuracy, and efficiency.



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  Work with cloud platforms (AWS, Azure, GCP) to deploy ML/AI models into production environments.



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  Ensure best practices in data quality, governance, and compliance standards.

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  8+ years of experience in Data Science, Machine Learning, or AI-driven projects.



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  Strong proficiency in Python (pandas, NumPy, scikit-learn, TensorFlow, PyTorch) or R.



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  Deep understanding of ML algorithms, statistical modeling, and data mining techniques.



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  Expertise in data visualization tools: Power BI, Tableau, Matplotlib, or Seaborn.



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  Strong SQL skills and experience with data pipelines (Airflow, Spark, etc.).



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  Hands-on experience with cloud ML platforms: AWS SageMaker, Azure ML, or Google AI Platform.



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  Excellent analytical, problem-solving, and communication skills.

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  Experience with Deep Learning, NLP, or Time Series Analysis.



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  Exposure to MLOps and CI/CD pipelines for model deployment.



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  Relevant certifications or a strong portfolio in ML/Data Science.



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  Experience in prompt engineering, RAG/context engineering, and Agentic AI systems.

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  Bachelor s, Master s, or PhD in Data Science, Computer Science, Statistics, or related discipline