Lead Data Science Engineer
2 weeks ago
About the Position
The Lead Data Science Engineer will be responsible for leading our data science team in developing AI solutions using data science and machine learning, ensuring they address real-world challenges in telemetry, IoT, and Engineering domains. You will guide and mentor team members, promoting their professional development and enhancing their skills in AI, data science, machine learning, and related technologies.
Key Responsibilities
- Collaborate closely with cross-functional teams to gather requirements, design solutions, and integrate insights into operational processes.
- Develop and maintain strong relationships with stakeholders to ensure successful project delivery.
- Stay up-to-date with industry trends and advancements in AI, data science, and machine learning.
- Collaborate closely with the data science manager to establish and execute the team's technical vision, strategy, and goals.
- Mentor and coach junior data science members.
Requirements and Qualifications
- Education: BSc (Comp Sci), BEng, or higher qualification of relevance.
- Working Experience: Minimum 4 years of relevant experience in AI, data science, and machine learning, including at least 1 year in a senior data scientist role.
- Technologies Experience: Project Management: Agile frameworks like Scrum or Kanban. Programming: Python, Java, or C#. AI: AIOps, Generative models such as LLMs. Big Data: MS Azure. Visualization: PowerBI. Version Control: Git. Geospatial: GIS software, GeoPandas. Deployment: Docker and Kubernetes. Testing: Unit and integration testing frameworks.
About Us
We are a leading provider of outsourcing solutions, dedicated to delivering high-quality services to our clients. Our team is passionate about innovation and excellence, and we strive to create a collaborative and dynamic work environment.
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