This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Scientist in the United States. This role offers an exciting opportunity to apply advanced data science, machine learning, and AI expertise to high-impact projects in a dynamic, cloud-based environment. You will work closely with business users to understand domain challenges, develop and deploy state-of-the-art Large Language Models, and implement scalable AI solutions. The position emphasizes innovation, best practices in CI/CD for AI systems, and the application of cutting-edge techniques in NLP, AI ethics, and statistical modeling. You will translate complex findings into actionable insights for leadership and collaborate with engineers to integrate solutions with APIs and microservices. This is an ideal role for a data scientist passionate about delivering practical, data-driven solutions in a remote-friendly, supportive setting.
Experience with LLMs, vector embeddings, transformer architectures, and generative AI techniques (including RAG). Knowledge of statistical models, machine learning algorithms, and AI/ML frameworks (PyTorch, TensorFlow, Huggingface-transformers). Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes). Strong programming skills in Python, Java, or equivalent languages (5+ years). Ability to pass a Tier 2/Moderate Background Investigation. Strong problem-solving, analytical, and communication skills.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role. 🧠 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 — 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.
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