Principal Data Scientist

JAGGAER · Hyderabad

  • Experience10–20 yrs
  • SalaryNot disclosed
  • Work modehybrid
  • Levelexecutive
  • Posted18 Sept 2026
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About JAGGAER

JAGGAER is hiring in Hyderabad in technology software. This role looks for around 10+ years of experience.

Skills

  • Python
  • Pandas
  • PySpark
  • scikit-learn
  • TensorFlow
  • PyTorch
  • SQL
  • OpenSearch
  • Snowflake
  • Redshift
  • Redis
  • Pinecone
  • SageMaker
  • statistical modeling
  • supervised machine learning
  • unsupervised machine learning
  • data governance
  • access controls
  • Linux
  • Git
  • CI/CD
  • Docker
  • Airflow
  • Prefect
  • Kubeflow
  • Dagster

The role

A data scientist at a procurement software company develops statistical modeling and machine learning solutions for enterprise data, using Python and SQL, and applies data governance and cloud deployment practices. The role also uses Snowflake and LLM fine-tuning to build production-grade analytics and intelligent data services.

Full job description

Experience: 10+ Years

Notice Period: Immediate to 30 Days

Work Mode: Hybrid(3 Days Office & 2 Days WFH)

Location: Hyderabad

Skills Required:

Bachelors or Masters in Computer Science, Statistics, Math, Data Science, or related field.

10+years designing and deploying production-grade ML or data engineering solutions, including a track record of owning ambiguous, org-wide technical initiatives.

Proficiency in Python (Pandas, PySpark, scikit-learn, TensorFlow/PyTorch) and SQL.

Hands-on work with at least two of the following platforms: OpenSearch, Snowflake (including Cortex AI functions), Redshift, Redis, Pinecone, SageMaker.

Solid grounding in statistical modeling, supervised/unsupervised ML, and evaluation metrics.

Experience implementing data governance, access controls, and security best practices for sensitive enterprise and financial data.

Experience with Linux, Git, CI/CD, Docker, and at least one orchestration framework (Airflow, Prefect, Kubeflow, or Dagster).

Clear, concise communicator able to present complex analyses to senior leadership.

Demonstrated ability to independently drive technical direction and influence decisions across multiple teams without formal authority.

Preferred Qualifications:

Prior exposure to LLM fine-tuning, prompt engineering, or RAG pipelines.

Hands-on experience with Snowflake, including Cortex AI functions, for in-platform ML/LLM workloads.

Experience deploying ML services on AWS (S3, ECS/EKS, Bedrock), Azure, or GCP.

Knowledge of procurement, supply chain, IoT sensor, or ERP data domains.

Familiarity with Agentic AI frameworks (LangChain Agents, CrewAI, Haystack, etc.).

Track record of hackathon wins, open-source contributions, or published research.