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The Soil Scientist will advise clients on carbon removal strategies, conduct due diligence on soil carbon projects, and contribute to science and policy efforts to mitigate climate change through soil management. This role requires a passion for carbon management and flexibility to implement strategies and deliver results.
As the Lead Data Scientist, you will establish a data science practice, collaborate with various teams to optimize systems, leverage data for strategic decisions, and utilize advanced analytics techniques to derive insights that drive business outcomes.
The Senior Database Administrator is responsible for managing the ADABAS Database environment, including installation, customization, maintenance, performance tuning, security management, disaster recovery planning, and the implementation of new technologies. They collaborate with development teams to optimize database queries and support both structured and unstructured data management.
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The MySQL DBA will manage and optimize MySQL databases, ensuring performance, security, and availability. Responsibilities include installation, monitoring, backups, disaster recovery, and collaboration with developers for query optimization.
As a Staff Data Scientist, you'll develop machine learning products in collaboration with various teams, analyze complex business issues, define key metrics for AI/ML systems, and ensure effective communication with stakeholders to integrate data-driven solutions into the business.
The Data Scientist will develop, improve, and manage data science and machine learning models while collaborating with R&D. Responsibilities include data manipulation, feature engineering, and model implementation. The role also involves communicating insights to stakeholders and ensuring quality control within the data team.
The Principal Data Scientist will lead the predictive analytics practice, focusing on deploying machine learning models for financial metrics and customer forecasts, collaborating across teams to enhance operational capabilities and model performance.
As a Data Scientist, you'll analyze real-time sensor data using statistical and deep learning methods to provide actionable insights, model signals for asset tracking, and collaborate with product leaders to enhance analytics-driven solutions.
The Senior Software Engineer will lead or collaborate on the design, development, and deployment of software features, ensuring clean, reusable coding standards and effective problem-solving with clients. This role involves improving code architecture and maintaining high-quality documentation.
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The Practice Director will lead the Data Engineering and AI/ML practice, managing customer engagements and focusing on Data Modernization. Responsibilities include strategic planning, team leadership, guidance on data solutions, and operational management while ensuring excellence and innovation in delivery.
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