Description

You will develop data models, pipelines, and dashboards to support multiple work streams and business requirements.

Responsibilities

• Build data models, pipelines, and reporting dashboards based on functional requirements and project plans.
• Collaborate with product, engineering, and program leads to align development with roadmaps and timelines.
• Execute test plans and test cases to ensure data reliability and low latency.
• Communicate development status and proactively escalate technical challenges or blockers to the team.
• Manage your own workload and priorities while working across diverse, 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.
• Experience using Jupyter and Colab for development.
• Hands-on experience with Pandas, Sklearn, NLTK, and Gensim.
• Ability to design and build insightful 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

• Any Graduate degree.

Key Skills

Education

Any Gradute