Top Data & Analytics Jobs
The Senior Power BI Consultant will design and implement complex data models, create interactive reports, develop DAX formulas, and integrate data from diverse sources. Responsibilities also include client consulting to identify growth opportunities and providing training on Power BI solutions, all while ensuring high-quality output and collaboration with enterprise teams.
The Senior Data Engineer will design, develop, and deliver data management solutions using DevOps methodologies and Microsoft PaaS platforms. Responsibilities include coding, testing, and architecting data structures, while also supporting development activities for internal and external projects, monitoring industry trends, managing deployments, and collaborating with analysts and product owners.
The Associate Scientist engages in pharmaceutical development and clinical manufacturing projects, overseeing tasks like formulation, data interpretation, and documentation while ensuring timely execution of responsibilities and ongoing communication with internal teams and clients.
The Development Scientist II is responsible for pharmaceutical development and clinical manufacturing project activities, including formulation and process development, GMP compliance, budget planning, customer interaction, and documentation writing. The role involves assisting with batch manufacturing and problem-solving in formulation processes while ensuring accuracy and compliance with guidelines.
The Scientist I in Analytical Research & Development will conduct testing and analysis of raw materials and finished products, prepare reagents, ensure compliance with safety regulations, and write and review protocols and SOPs. They will also be responsible for executing methods accurately and ensuring data integrity.
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As a Data Engineer, you will enhance and support data-related systems, ensuring data flows reliably from platforms to clients. Responsibilities include improving data pipelines, designing features for the Data Platform, operational support, and collaborating with product and engineering teams for project execution.
The Data Scientist will develop analytical products and improve predictive algorithms, focusing on machine learning applications and workflows. Responsibilities include leading a data science team, collaborating on projects, and mentoring in a small data context.
The Lead Data Architect will design and implement scalable data architectures to support key data initiatives. They will lead data strategies, manage data system designs, drive innovation with advanced technologies, and ensure compliance with data governance standards while collaborating with stakeholders to meet business needs.
The Staff Engineer will lead the design, development, testing, and maintenance of healthcare policy engines, ensuring high performance and optimal functionality. Responsibilities include collaborating with teams to explore data science opportunities, implementing predictive analytics, and driving improvements in system architecture.
The Staff Data Scientist will lead AI model design and development, conduct research to identify data trends, implement machine learning algorithms, and collaborate with cross-functional teams to integrate AI solutions into Tanium’s capabilities, ensuring optimal performance and scalability.
Develop and implement machine learning algorithms and software solutions for wearable sensors to monitor heart disease. Collaborate on data collection with clinical teams and external vendors, while conducting statistical analyses on trial data and ensuring alignment with clinical requirements.
The Applied AI Investor will source, evaluate, and win applied AI deals in the US, working closely with experienced investors to gain insights and training. The role requires operational experience in high-growth technology businesses and familiarity with LLM-based products.
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