Lead Data Scientist Recommendation Systems & ML Engineering

Tiger Analytics; New York (NY); On-site; USD 120,000 - 150,000; Full time

Job summary

Tiger Analytics is seeking a Lead Data Scientist with a strong background in Recommendation Systems and Machine Learning Engineering. In this role, you'll design and optimize end-to-end recommendation systems while leading projects and mentoring teams. Your experience in data science will be crucial as you collaborate with engineering and product teams to implement ML solutions.

Ideal candidates will have over 8 years of experience and a proactive mindset toward learning and adapting to the evolving data landscape. This position offers significant career development opportunities in a fast-paced environment.

Qualifications

• 8+ years of experience in Data Science / Machine Learning.
• 3+ years of hands-on experience in Recommendation Systems.
• Proven expertise in recommendation algorithms and MLE practices.

Responsibilities

• Design and develop end-to-end recommendation systems.
• Build and optimize recommendation algorithms.
• Lead projects and mentor junior data scientists.
• Engage with clients to deliver tailored solutions.

Skills

Recommendation Systems

Machine Learning Engineering

Python

SQL

Databricks

Azure

Google Cloud Platform

Job description

Tiger Analytics is seeking a Lead Data Scientist with a strong background in Recommendation Systems and Machine Learning Engineering. In this role, you'll design and optimize end-to-end recommendation systems while leading projects and mentoring teams. Your experience in data science will be crucial as you collaborate with engineering and product teams to implement ML solutions.

Ideal candidates will have over 8 years of experience and a proactive mindset toward learning and adapting to the evolving data landscape. This position offers significant career development opportunities in a fast-paced environment.