Description

You will build data models, pipelines, and dashboards to support multiple concurrent work streams.

Responsibilities

• Develop data models, pipelines, and reports based on functional requirements and project plans.
• Collaborate with product, engineering, and program leads to align development with roadmaps.
• Plan and execute test plans and test cases to ensure data reliability.
• Design low-latency, reliable reports following data visualization best practices.
• Communicate development status and escalate technical challenges as they arise.

Required Skills

• 5+ years of experience in data science, data modeling, and data pipeline development.
• Expertise in data manipulation using Python and PySpark.
• Proficiency with Jupyter or Colab using Pandas, Sklearn, NLTK, and Gensim.
• Strong background in text analytics, NLP, classification, and clustering.
• Experience creating executive-level dashboards using Tableau, Microstrategy, or Qlik.
• Solid understanding of data processing, machine learning, and visualization.
• Ability to manage and prioritize own work across multiple programs.
• Strong written and verbal communication skills for technical and non-technical audiences.

Preferred Skills

• Experience with GCP technologies including BigQuery, Cloud SQL, and Data Studio.
• Experience with self-service reporting platforms.
• Proficiency with Matplotlib for data visualization.

Key Skills

Education

Any Gradute