<p>We are seeking a highly skilled Scientific Data Scientist or Software Engineer with a strong academic foundation and hands-on experience developing scientific software. The ideal candidate combines deep STEM expertise with rigorous coding ability, and has a demonstrated track record of integrating, evaluating, and advancing scientific software systems.</p><p><br></p><p><strong>Technical Skills</strong></p><ul><li><strong>Fluent proficiency in Python</strong> (required).</li><li>Strong ability to design, implement, and maintain <strong>scientific software applications and codebases</strong>—beyond general AI/ML model development.</li><li>Experience contributing to <strong>third-party or open-source scientific software projects</strong>.</li></ul><p><br></p>
We are looking for a skilled AI Engineer to join our dynamic team in New York, New York. This role requires expertise in advanced data platforms and analytics tools, with a focus on leveraging machine learning and data science techniques to drive impactful solutions. If you're passionate about data innovation and have a strong consulting background, we encourage you to apply.<br><br>Responsibilities:<br>• Design, implement, and optimize solutions using Azure Databricks, Data Lake, Synapse, and Spark.<br>• Develop and enforce data governance strategies, including the use of Unity Catalog.<br>• Utilize Python to build, test, and deploy machine learning models and data science workflows.<br>• Collaborate with stakeholders to identify opportunities for AI-driven improvements in business processes.<br>• Maintain and enhance data pipelines to ensure scalability and reliability across projects.<br>• Provide technical leadership and mentorship to team members, ensuring best practices in data engineering and analytics.<br>• Translate complex data problems into actionable insights and solutions for clients.<br>• Stay updated on industry trends and emerging technologies to continuously improve solutions.<br>• Support clients in adopting AI and machine learning tools to address business challenges.
