Data Scientist

Roles & Responsibilities

* Collaborate with design and engineering teams to understand current design workflows

and identify areas for automation and improvement.

* Develop machine learning models, data pipelines, and algorithms to automate repetitive

design tasks and streamline workflows in design tools.

* Implement solutions with the design software and automate tasks.

* Apply natural language processing (NLP) and computer vision techniques to automate

tasks like image tagging, design pattern recognition, or content generation.

* Analyze large datasets to identify trends, inefficiencies, and opportunities for process

optimization.

* Monitor and evaluate the performance of automated workflows and make improvements

based on user feedback and performance data.

* Stay up-to-date with the latest advancements in data science, machine learning, and

design tools to continuously innovate and improve automation solutions.

Requirements and skills

* 3+ years of experience in data science, machine learning frameworks and libraries

* Proficiency in programming languages such as Python, R, or similar.

* Knowledge of data processing tools, techniques and working with large datasets.

* Strong problem-solving abilities, analytical thinking, with an ability to troubleshoot and

resolve issues.

* Familiarity with version control systems (e.g., Git) and agile development practices.

Role & responsibilities

Preferred candidate profile

Perks and benefits