Data Scientist (Analyst)

Role Overview

Data Scientist (Analyst) at Why Hiring, focused on solving challenging ML/AI problems using deep learning technologies with a primary emphasis on Python.

Responsibilities

• Tackle complex, high-impact problems in collaboration with data science and analytics teammates.
• Address challenging big data issues with strong analytical drive.
• Extract and analyze data to develop prototype models for targeting and personalization.
• Communicate insights and findings clearly to scientific, business, and stakeholder audiences.
• Work with engineers and other data scientists to deliver scalable solutions.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent).
• 1+ year experience in areas such as analytics, data warehousing, or software engineering.
• 1+ year hands-on experience with open-source machine learning tools using Python or R.
• 1+ year experience with Python (scripting).
• Experience in data engineering, including SQL and working with large structured or unstructured datasets.
• Strong practical experience developing and implementing ML models and algorithms.
• Excellent skills presenting data-driven insights effectively.

Nice-to-haves

• Experience across a variety of ML/AI analytics projects (ML/AI variety is indicated for the team).