This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Full Stack Data Scientist in the United States .
The Full Stack Data Scientist will be instrumental in driving AI and machine learning initiatives that power high-impact social good solutions. This role combines deep analytical skills with engineering expertise to build, deploy, and maintain production-ready models and data pipelines. You will collaborate closely with Product and Engineering teams in a distributed Agile environment, contributing to AI-driven features that enhance decision-making and optimize outcomes. The position offers opportunities to influence model architecture, implement scalable solutions, and mentor peers on best practices while maintaining rigorous standards for reliability, security, and ethics. The role provides a chance to directly impact non-profits, public sector organizations, and philanthropic initiatives, helping maximize their positive effect on society.
Accountabilities :
Requirements
Benefits
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
๐ Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
๐ It compares your profile to the jobโs core requirements and past success factors to determine your match score.
๐ฏ Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
๐ง When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias โ focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!
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Data Scientist โข US