Data Scientist for Large Scale Distributed Systems
3 days ago
At ELife Transfer, a fast-growing start-up headquartered in the heart of Silicon Valley, we're shaping the future of passenger transport with innovative technology. As a remote work company, our team spans the globe, and we're constantly seeking talented individuals to join us.
We're looking for a highly skilled Data Scientist to lead the development and implementation of machine learning models using Python, SQL, and other relevant tools. You'll collaborate closely with cross-functional teams to identify opportunities for applying machine learning techniques to business problems, conduct research and experimentation to explore new approaches, and optimize existing models for improved performance.
About the Role
- Develop and implement large-scale distributed systems using Amazon Web Services (S3, Kinesis, Cloud Formation, EKS, AWS Security and Networking)
- Build and operate scalable data processing pipelines to extract insights from vast datasets
- Design and train machine learning models that drive business outcomes and improve customer experiences
- Provide technical leadership and mentorship to junior team members
What We Offer
- An estimated annual salary range of $120,000 - $200,000 based on experience and qualifications
- A dynamic, collaborative work environment with a global team
- The opportunity to work on cutting-edge technologies and contribute to shaping the future of passenger transport
- A comprehensive benefits package, including health insurance, retirement planning, and professional development opportunities
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