Snowflake Data Scientist

SynapOne

Hyderabad, Telangana, India

Position: Snowflake Data Scientist

Work Location: Hyderabad

Work Mode: Mon-Fri (Work from Office)

Primary Roles & Responsibilities

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

pipelines in Modern Data Platforms

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

Required Skills

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

Preferred Skills

Knowledge of Computer Vision, and Image processing techniques
Good to have knowledge on Snowflake Cortex, Cortex AI Features, Snowpark Container

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Questions about this job

How do I apply for the Snowflake Data Scientist job at SynapOne?

Use the apply link on this page: you apply directly with SynapOne on LinkedIn. Before you do, score your resume against this job description on Fitboard. It shows which skills and keywords the job asks for that your resume doesn't show, so you can fix them first.

What skills does SynapOne want for this Snowflake Data Scientist role?

The job description asks for 3+ years of data scientist experience, Bachelor's or master's degree in data science or Applied Statistics or AI/ML or Relevant Specialization, Cloud data engineering and Big Data services knowledge in Azure, AWS, or GCP, Proficiency in Python and SQL., Proficiency in data analysis, building, and deploying models into production environments., Expertise in GenAI, LLMs, RAG, NLP, and deep learning architectures, Familiarity with existing ML stack (scikit-learn, Tensorflow, Keras and others) and Proficiency in MLOps, containerization, CI/CD pipelines, and cloud-native deployments (Snowflake, AWS, Azure, or GCP).. Make sure your resume shows the ones you have, in the words the job uses: applicant tracking systems look for them.

How can I get a job at SynapOne?

Apply to the SynapOne roles that match your experience, and tailor your resume to each job description: for this role that means showing 3+ years of data scientist experience, Bachelor's or master's degree in data science or Applied Statistics or AI/ML or Relevant Specialization, Cloud data engineering and Big Data services knowledge in Azure, AWS, or GCP. A resume that matches the job's own keywords is more likely to get past screening. Fitboard scores your resume against this exact job for free.

Is this Snowflake Data Scientist job remote or onsite?

This is based in Hyderabad, Telangana.

Is it free to apply? Does Fitboard charge anything?

Applying is free: you apply directly with SynapOne, and this job page and its apply link cost nothing. Checking your resume against this job is free too, with 3 free scans when you sign in and no credit card needed.