Research Data Scientist, Developer AI

Job Summary

Google is hiring a Research Data Scientist, Developer AI to work from its Grand Central, Manhattan office. This role focuses on advancing AI research, building scalable data pipelines, and mentoring junior scientists.

Key Responsibilities

• Design and implement experiments that push the state‑of‑the‑art in AI and machine learning.
• Develop, test, and productionize large‑scale data processing pipelines.
• Collaborate with cross‑functional teams including engineers, product managers, and research scientists to translate research into deployable solutions.
• Analyze complex datasets to extract insights that drive product improvements.
• Publish findings in top conferences and internal knowledge bases.
• Mentor and guide junior team members, fostering a culture of continuous learning.

Required Qualifications

• Master’s degree in Statistics, Computer Science, Mathematics, or a related field (PhD preferred).
• Strong background in statistical modeling, machine learning, and AI research.
• Proficiency with Python, TensorFlow, PyTorch, and data‑engineering tools such as Apache Beam or Spark.
• Experience handling large, complex datasets and building reproducible pipelines.
• Excellent communication skills and a track record of publishing research.

Preferred Experience

• Industry experience developing AI solutions that scale to millions of users.
• Knowledge of cloud platforms (Google Cloud Platform) and distributed computing.
• Demonstrated ability to lead projects and mentor junior scientists.

Compensation

Salary range: $181,444.58 per year.

Frequently Asked Questions

What type of projects will I work on as a Research Data Scientist at Google?

You will design cutting‑edge AI experiments, build large‑scale data pipelines, and translate research findings into production‑ready solutions for Google products.

Do I need a PhD to apply for this role?

A Master’s degree in a quantitative field is required; a PhD is preferred but not mandatory if you have equivalent research experience.

Is remote work possible for this position?

Google allows location flexibility, but this posting is for the Grand Central, Manhattan office; remote arrangements may be discussed during the interview process.