Description

You will build data models, pipelines, and dashboards to support business requirements and engineering roadmaps.

This role is on-site.

Responsibilities

• Build data models, pipelines, and reporting dashboards based on functional requirements.
• Collaborate with product, engineering, and program leads to align development with roadmaps.
• Execute test plans to ensure data reliability and low latency.
• Communicate development status and proactively escalate technical blockers.
• Manage workload and priorities across distributed engineering teams.

Required Skills

• 5+ years of experience in data science and data modeling.
• Proficiency in Python and PySpark for data manipulation.
• Strong expertise in SQL and machine learning concepts.
• Hands-on experience with Pandas, Sklearn, NLTK, and Gensim.
• Experience using Jupyter and Colab for development.
• Ability to design dashboards using Tableau, Microstrategy, or Qlik.
• Deep understanding of data processing, analytics, and visualization best practices.
• Knowledge of text analytics, NLP, classification, and clustering.

Preferred Skills

• Graduate degree in a relevant field.

Key Skills

Education

Any Gradute