Data Scientist

Wonderbrands

$90K — $110K *
Food & Beverages
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years of experience in machine learning, data analysis, and data visualization.
  • Preferred Master's degree in engineering or analytical fields.
  • Strong programming skills in Python and experience with data analysis packages like TensorFlow and PyTorch.
  • Familiarity with computer vision techniques such as CNNs, YOLO, and VLM relevant to manufacturing.
  • Tech-savvy, self-motivated, and adaptable in fast-paced environments.

Responsibilities

  • Collaborate with the data science team to explore and integrate advanced AI and computer vision technologies into manufacturing.
  • Translate business needs into AI-driven solutions.
  • Facilitate data collection from both automated and manual methods.
  • Process and analyze both structured and unstructured data from diverse sources.
  • Develop ETL pipelines and create visualization dashboards to derive actionable business insights.

Benefits

  • Hands-on experience with real-world projects in data science.
  • Exposure to cutting-edge AI and computer vision technologies.
  • Opportunity to work with a collaborative and experienced team in a dynamic environment.
Full Job Description
Job Description

Data Scientist

Summary

As a Data Scientist at FGF Brands you will have the unique opportunity to work alongside experienced data scientists on real-world projects that directly impact our business. This role is designed to provide hands-on experience and exposure to various aspects of data science, including data analysis, machine learning, and computer vision.

Key Responsibilities:
  • Working closely with data science team researching on the latest technologies and state of the art AI and computer vision models with the goal of importing them into manufacturing industry.
  • Understand business requirements and develop AI driven solutions addressing those requirements.
  • Help with data collection from various automated and manual processes.
  • Analyze structured and unstructured data from various data sources, clean data, transform raw data into business insights by building ETL pipelines and visualization dashboards.

Key Qualifications:
  • 3+ years of experience in machine learning, data analysis and data visualization
  • Education in engineering or analytical fields, Master degree is preferred
  • Possesses a strong foundation in programming languages like python and common data analysis packages (Tensorflow, Pytorch, etc.)
  • Has a working knowledge of computer vision techniques applicable to manufacturing, such as image classification (e.g., CNNs, YOLO, VLM).
  • Tech-savvy, autonomous, eager to learn, comfortable working in fast paced environments.


Disclaimer: The above describes the general responsibilities, required knowledge and skills. Please keep in mind that other duties may be added or this description may be amended at any time.

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