<p>We are looking for a detail-oriented Investor Relations Analyst to join our team in Houston, Texas. This role is ideal for an individual with strong financial acumen and excellent communication skills, eager to contribute to investor engagement and corporate reporting. As part of the team, you will play a key role in preparing presentations, crafting investor communications, and maintaining relationships with stakeholders.</p><p><br></p><p><strong>Investor Relations Analyst Responsibilities:</strong></p><p>• Develop and deliver presentations for shareholders, analysts, and investment groups to effectively communicate company performance and strategy.</p><p>• Build and nurture relationships with sell-side and buy-side analysts, providing timely and accurate responses to inquiries.</p><p>• Collaborate on the creation of investor communication materials, including conference call scripts, press releases, regulatory filings, and website content.</p><p>• Prepare and manage internal reporting for senior leadership and Boards of Directors, ensuring accuracy and timeliness.</p><p>• Analyze shareholder activity and peer trends to support targeted shareholder engagement initiatives.</p><p>• Design and update communication tools, such as websites, to ensure the dissemination of accurate and timely information.</p><p>• Work with finance teams to analyze financial results and compile key statistics for earnings announcements and investor discussions.</p><p>• Coordinate the marketing calendar, including conferences, roadshows, and corporate visits, to optimize investor outreach.</p><p>• Ensure compliance in all communications with the investment community, including press releases and social media updates.</p>
<p><strong>Summary</strong></p><p>We are seeking a <strong>curious, proactive, and innovative Data Scientist</strong> with expertise in <strong>AI/ML and Large Language Models (LLMs)</strong> to design and deploy AI-driven solutions that deliver measurable business impact. This role involves working with <strong>LLMs, NLP, and deep learning techniques</strong> to build scalable models and translate complex insights into actionable strategies.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li><strong>AI/ML Model Development:</strong> Design, train, and fine-tune machine learning and deep learning models, including LLMs for predictive analytics and automation.</li><li><strong>Data Analysis & Feature Engineering:</strong> Collect, process, and analyze structured/unstructured data; engineer features to optimize model performance.</li><li><strong>NLP & Agent-Based Applications:</strong> Develop LLM-based AI solutions with prompt engineering, fine-tuning, and inference optimization.</li><li><strong>Business Impact:</strong> Translate data science methodologies into actionable insights for stakeholders.</li><li><strong>End-to-End Deployment:</strong> Implement MLOps best practices for scalable, reliable model deployment.</li><li><strong>Visualization & Storytelling:</strong> Create dashboards and presentations to communicate findings to non-technical audiences.</li></ul>
