<p>We are looking for an experienced Data Scientist to join our team in San Francisco, California. In this senior-level role, you will lead initiatives from concept to completion, leveraging your expertise in data analytics, finance, and product development. This is a hybrid (2-3 days) long-term contract position based in San Francisco and offers a unique opportunity to work on impactful projects while mentoring less experienced team members.</p><p><br></p><p>Responsibilities:</p><p>• Take full ownership of projects, managing them from initial planning through delivery and implementation.</p><p>• Develop and prototype innovative, data-driven tools, including internal tools such as pricing engines.</p><p>• Define and implement parameters and logic for pricing outputs based on large datasets.</p><p>• Build and maintain data models and prototypes to support business decision-making processes.</p><p>• Collaborate with stakeholders to ensure tools and models align with business needs and fund-related use cases.</p><p>• Perform hands-on analysis and modeling of large datasets to support pricing and tool development.</p><p>• Create solutions that integrate data insights with financial operations, enhancing efficiency and accuracy.</p><p>• Mentor and oversee less experienced team members, ensuring team goals and project deliverables are met.</p><p>• Drive execution of projects by defining requirements, managing timelines, and delivering functional products.</p><p>• Experience with large scale data processing and distributed systems like Spark or Airflow.</p><p><br></p>
We are looking for a skilled AI Business Analyst/Consultant to support the continuous enhancement of a public-facing Help Center application. This long-term contract position involves collaborating with both internal stakeholders and external consultants to refine features, expand multilingual capabilities, and transition the platform into a cutting-edge, AI-enabled solution. Based in San Francisco, California, this role offers the opportunity to contribute to innovative project development in a hybrid work environment.<br><br>Responsibilities:<br>• Collaborate with business leaders and external consultants to define and refine system requirements.<br>• Translate complex business workflows into clear technical specifications for development teams.<br>• Drive product roadmap planning, ensuring alignment with business goals and user needs.<br>• Support testing, troubleshooting, and deployment of platform updates and new features.<br>• Implement and optimize AI-enabled functionalities to enhance user experience.<br>• Coordinate with technical teams to ensure seamless integration of multilingual support.<br>• Analyze and document current and future system workflows to identify areas for improvement.<br>• Facilitate communication between technical and non-technical stakeholders to ensure project success.<br>• Provide insights and recommendations based on data analysis and business intelligence tools.<br>• Maintain comprehensive documentation of product features, updates, and workflows.
<p>Our client is seeking a Data Scientist II – Generative AI to join a cutting-edge team focused on building scalable, production-ready AI solutions that transform business workflows and deliver measurable impact across global operations. This role is ideal for professionals passionate about leveraging Generative AI technologies, creating intelligent agents, and driving innovation at scale.</p><p><br></p><p>You will design and implement GenAI-powered agents that streamline internal processes, enhance productivity, and support business development initiatives. Responsibilities include developing robust prompt engineering frameworks, building RAG pipelines, and converting prototypes into production-ready solutions. You’ll collaborate closely with engineering and business teams to ensure solutions meet diverse client needs and are optimized for global deployment.</p><p><br></p><p>Key projects include extending the company’s GPT platform, creating AI agents that improve efficiencies for RFP development, onboarding materials, and SOW requirements. Success in this role means quickly ramping up on backlog projects, delivering high-priority initiatives, and staying ahead of emerging GenAI frameworks to continuously advance internal AI capabilities.</p>