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Lead Computational Social Scientist

Lead the development of computational social science initiatives at Interos, focusing on data-driven insights.

Location
Remote
Compensation
Not disclosed
Level
lead
Type
full time · Hybrid

Posted by employer 4 weeks ago

First seen on Joblaze 1 week ago

Last verified on the company career page 1 day ago

Apply at Interos → Save job Scanned from interos.ai

Skills & Technologies

Requirements

Experience
5+ years
Education
Master's degree

Not disclosed in this posting: compensation, visa sponsorship.

Joblaze summary

In this role, the Lead Computational Social Scientist at Interos focuses on analyzing complex social systems and developing models to understand their dynamics. Proficiency in data analysis, machine learning, and social science methodologies is essential for success. This position is ideal for experienced professionals with a strong background in computational social science and a passion for interdisciplinary research. Interos is known for its innovative approach to risk management, making it a dynamic environment for those looking to make an impact.

Joblaze insights

Quick facts

Is the Lead Computational Social Scientist role remote?
It's hybrid — Interos expects some on-site time in Remote.
How much experience is required?
At least 5 years of relevant experience for this Lead Computational Social Scientist role.
Where is the role based?
Interos is hiring for this position in Remote.
What's the tech stack?
Joblaze extracted these technologies from the posting: Data Science.
What seniority level is this role?
Interos targets lead candidates for this position.
Is this full-time or contract?
Full-time for this Lead Computational Social Scientist role at Interos.

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