
Data Science Engineer
16 hours ago
We are seeking a skilled data science engineer to play a pivotal role in designing, implementing, and optimizing data-driven solutions that enhance our machine learning capabilities. The ideal candidate has a strong background in data engineering combined with machine learning and is passionate about applying modern technologies to drive innovation.
This role involves collaborating with cross-functional teams to identify high-impact data science opportunities and close the loop on delivery. The successful candidate will be responsible for designing and implementing scalable data pipelines to efficiently collect, process, and analyze large volumes of data from various sources.
The data scientist engineer will also be responsible for transforming machine learning models into production-ready applications, optimizing and maintaining existing data workflows, and evaluating and integrating new data management and processing technologies. Additionally, they will create and manage data repositories, following best practices for data governance and security.
The ideal candidate should have a bachelor's or master's degree in computer science, data engineering, machine learning, or a related technical discipline, along with 3-5 years of professional experience in data science and engineering roles. They should have a track record of delivering production-ready solutions, translating business problems into data science projects with measurable outcomes, and working closely with business stakeholders to operationalize models and drive ROI.
- Data Pipeline Development: Design and implement scalable data pipelines to efficiently collect, process, and analyze large volumes of data from various sources.
- Model Deployment: Collaborate with data scientists to transform machine learning models into production-ready applications.
- Data Workflow Optimization: Optimize and maintain existing data workflows, ensuring data accuracy, quality, and integrity throughout the process.
- Technology Evaluation: Evaluate and integrate new data management and processing technologies to enhance analytics capabilities.
- Data Governance: Create and manage data repositories, following best practices for data governance and security.
We offer a dynamic work environment, competitive compensation package, and opportunities for growth and development. If you are a motivated self-starter with a passion for learning and applying new technologies, please submit your application. We look forward to hearing from you
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