Advanced Data Visualization Specialist

1 day ago

Kannur, Kerala, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

We are seeking senior-level professionals to support a project focused on creating a dataset of visualizations for Large Language Model (LLM) training.

This role requires technical expertise and the ability to deliver production-level code with a strong emphasis on quality and scalability.

Key Responsibilities:

  • Designing and developing high-quality visualizations.
  • Replicating dashboards from existing images.
  • Performing insight evaluation.
  • Creating and refining prompts for LLM training.

Required Skills & Expertise:

  • Python programming skills, including libraries like pandas, matplotlib, plotly, bokeh, and dash.
  • Strong data wrangling and data engineering skills.
  • Expertise in data visualization and storytelling with data.
  • Analytical reasoning and problem-solving mindset.
  • Ability to write production-grade, optimized, and scalable code.

Proficiency & Experience:

  • High proficiency level.
  • 8-10 years of experience in data engineering, data science, or advanced data visualization roles.

Data Scientists play a pivotal role in driving business decisions through data-driven insights. As a seasoned Data Scientist, you will be responsible for designing and developing innovative visualizations that effectively communicate complex information to stakeholders.

Main Responsibilities:

  • Develop interactive and dynamic visualizations using Python libraries such as pandas, matplotlib, and plotly.
  • Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop tailored dashboards to track progress.
  • Analyze large datasets to identify trends, patterns, and correlations, and present findings in a clear and concise manner.
  • Evaluate the effectiveness of existing dashboards and suggest improvements to enhance user engagement and retention.

Requirements:

  • Proven experience in data visualization and storytelling with data.
  • Strong analytical and problem-solving skills, with the ability to think critically and creatively.
  • Excellent communication and presentation skills, with the ability to convey complex ideas to both technical and non-technical stakeholders.
  • Ability to work independently and collaboratively as part of a team.
  • Strong proficiency in Python programming language, including libraries such as pandas, matplotlib, and plotly.

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