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For our client, we are seeking a Data Scientist to join the team of a leader in the Enterprise Technology space. This role will lead work at the intersection of data, AI-enabled capabilities, and scalable technology delivery. You will partner with business, technical, and operational stakeholders to build reporting, surface trends, and translate analysis into action. The position offers the opportunity to strengthen data-driven execution and help teams focus on the metrics that matter most within a technology-driven environment. Location: Remote - US based candidates only, no visa sponsorship available Compensation: $120,000 – $145,000 annually Responsibilities Lead applied AI projects from concept to impact, including prototyping and deployment Act as an internal consultant on ML/AI best practices across teams Develop and deploy models for use cases such as detection and analysis Design experiments and evaluation pipelines for model reliability Translate research insights into scalable APIs and workflows Explore new techniques to enhance user experiences Communicate technical concepts to both technical and non-technical stakeholders Qualifications 5+ years of hands-on experience in applied data science, ML, AI engineering, or AI research Strong Python skills with experience in data and AI libraries/platforms (e.g., Databricks, scikit-learn) Experience building and deploying ML or GenAI applications Deep familiarity with modern LLM ecosystems (OpenAI, Hugging Face) Ability to design effective LLM applications and workflows Experience with agentic AI workflows using frameworks like LangChain Proficiency with Git and collaborative software development practices Benefits Parental Leave Policy Paid Volunteer Time Off (VTO) Recognition as a leader in software supply chain security Awards for innovation and impact in developer technology An inclusive culture with diversity and inclusion initiatives Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.