Job Description

Position: Senior Data Scientist

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Work Location: Hyderabad

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Work Mode: Mon-Fri (Work from Office)

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Primary Roles & Responsibilities

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Design, develop, and deploy AI/ML products and services based on the customer needs.
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Design data pipelines
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Continually develops capability both against current demand and the technology/business capability roadmaps provided.
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Review and integrate all application requirements, including functional, security, integration, performance, quality, and operations requirements.
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Continually improve technologies used by the team to deliver products and services to our customers.
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Implement all application requirements, including functional, security, integration, performance, quality, and operations requirements.
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Work closely with the Product Owners and Architects to develop data science products and data
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pipelines in Up-to-date Data Platforms

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Work closely with the Team and provide guidance and assistance on technical issues
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Knowledge of handling unstructured, semi-structured and structured data
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Required Skills

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3+ years of data scientist experience
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Bachelor's or master's degree in data science or Applied Statistics or AI/ML or Relevant Specialization
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Cloud data engineering and Big Data services knowledge in Azure, AWS, or GCP
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Proficiency in Python and SQL.
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Proficiency in data analysis, building, and deploying models into production settings.
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Expertise in GenAI, LLMs, RAG, NLP, and deep learning architectures
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Familiarity with existing ML stack (scikit-learn, Tensorflow, Keras and others)
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Proficiency in MLOps, containerization, CI/CD pipelines, and cloud-native deployments (Snowflake, AWS, Azure, or GCP).
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Fine-tuning models to improve accuracy rates.
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Interpersonal and verbal communication skills
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Desire to work in a performance-based setting.
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Preferred Skills

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Knowledge of Computer Vision, and Image processing techniques
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Good to have knowledge on Snowflake Cortex, Cortex AI Features, Snowpark Container
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📌 Sr Data Scientist With Snowflake Experience Hyderabad (India)
🏢 SynapOne
📍 India