<p>We are looking for a skilled Data Scientist to join our team in Saint Paul, Minnesota. This contract position offers the opportunity to collaborate with cutting-edge technologies and contribute to the advancement of AI and data initiatives. The ideal candidate will thrive in a business-facing role, engaging with leadership and stakeholders to drive impactful solutions.</p><p><br></p><p>Responsibilities:</p><p>• Develop and implement machine learning models using Python and Databricks to address complex business challenges.</p><p>• Collaborate with cross-functional teams to identify data-driven opportunities and deliver actionable insights.</p><p>• Work within open architectures to design and execute scalable data solutions.</p><p>• Participate in leadership meetings, effectively communicating technical concepts and recommendations to non-technical stakeholders.</p><p>• Mentor and support team members to enhance overall technical and business-facing capabilities.</p><p>• Utilize tools such as Apache Spark, Hadoop, and Kafka for efficient data processing and analysis.</p><p>• Design and execute ETL workflows to ensure robust data transformation and integration.</p><p>• Contribute to the continuous improvement of data science practices and methodologies.</p><p>• Stay updated on emerging technologies and trends in AI and machine learning to maintain a competitive edge.</p><p>• Assist in bridging skills gaps within the team by providing expertise and guidance.</p>
<p>We are seeking an exceptionally analytical professional holding a <strong>Master’s or PhD in Chemistry or Mathematics</strong> to join a specialized team operating within a discreet and technically rigorous environment.</p><p>This position is designed for individuals trained to think in formal systems, interrogate complex data structures, and methodically validate information. The role involves working closely with electronic systems and data-generating instrumentation to ensure accuracy, reliability, and logical consistency across outputs.</p><p><br></p><p>Core Responsibilities</p><ul><li>Analyze high-complexity datasets using structured mathematical or chemical frameworks</li><li>Develop models to test, validate, and stress-check system outputs</li><li>Formulate precise, technically grounded questions to probe data integrity</li><li>Interface with electronic instrumentation to confirm accuracy and calibration</li><li>Identify anomalies, inconsistencies, and systemic weaknesses</li><li>Establish validation protocols and ongoing verification processes</li><li>Document and communicate findings with clarity and precision</li></ul>
