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The Data Engineer II will design and maintain the data warehouse, focusing on ETL processes and data architecture. They will collaborate with various teams to gather data requirements, support data analysis, and develop reporting mechanisms. This role demands proficiency in big data tools and analytical skills to create efficient data solutions.
The Sr. Data Engineer/Data Architect will design, build, and deploy efficient data pipelines, optimize existing pipelines, and ensure data quality. Responsibilities include collaborating with various stakeholders, improving data movement frameworks, and implementing CI/CD practices.
The Application DBA will manage and optimize SAP databases, ensuring performance, reliability, and security. Responsibilities include database administration, performance optimization, backup/recovery, security implementation, troubleshooting, collaboration with teams, automation of management tasks, and ensuring compliance with regulations.
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As an Applied Scientist, you will drive the development of Reinforcement Learning models, collaborating with interdisciplinary teams to optimize models that provide actionable insights. You'll implement innovative algorithms and communicate complex technical concepts effectively to various stakeholders.
Conduct experimental studies in natural language processing and machine learning, develop dark web monitoring tools, help transition research models to production, and publish findings in top conferences. Collaborate with teammates and propose innovative ML models to enhance products.
In this role, you will collaborate with stakeholders to leverage data for insights and systems improvement, stay updated on data science techniques, design effective experiments, and work on machine learning algorithms. You will also interact with data engineers to develop robust data pipelines and create tools that facilitate data access and visualization.
The Director of Data Sciences at Epic Sciences will provide leadership and expertise in computational biology and cancer biology. They will collaborate with various teams to develop cancer diagnostic tests and engage in strategic planning to enhance effectiveness. This role involves significant communication and leadership skills to manage external partnerships and drive projects to completion.
Apixio is seeking a Business Analyst to gather business requirements, analyze data, and communicate insights using business intelligence tools. The role requires a Bachelor's degree in a relevant field and 1-3 years of hands-on experience in business intelligence and analytics, with technical knowledge of BI techniques and tools like Tableau or Looker.
As an Analytics Engineering lead within the Ads Data Science team at Reddit, you will develop robust data pipelines and user-friendly tools, ensuring data quality and reliability for effective data analysis. You'll mentor data analysts and collaborate with different teams to foster a data-driven culture focusing on automation and self-service data access.
The Manager of Applied AI and Data Sciences oversees the development and management of AI tools and data sciences projects, collaborates with technology and business teams, evaluates and selects AI solutions, and provides ongoing support while leading strategic initiatives and mentoring staff.
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