Up Labs
Lead Data Science Engineer
USA · Full-time
Sponsorship not specifiedDetected 49 days ago
AlgorithmsSnowflakeAWSGCPAzureCloud PlatformsDockerKubernetesTerraformMachine LearningdbtData EngineeringData ScienceCommunication
About the role
- This is a rare chance to work shoulder-to-shoulder with a global market leader, tackling high-impact problems with technology and taking bold ideas from 0 to 1.
- You'll act as the principal expert while leading data science for the venture.
- Familiarity and preference for working in ambiguous, fast-paced environments such as startups and growth-phase tech companies.
Responsibilities
- Act as the primary owner of Data Science, Analytics, and Data Engineering as a subject matter expert Build out a team and incubate expertise amongst several venture start-ups Create rapid proofs of concept, then scale into functional MVPs to turn concepts into tangible reality.
- Mentor and support early-stage venture teams to achieve bigger outcomes at a greater scale in data density and system complexity.
- Cross-pollinate learnings, best practices, and insights between multiple ventures to drive continuous improvement of Engineering and Data Science at UP.Labs.
- Hands-on and end-to-end product build, development, and delivery experience.
- An open, curious, and humble mindset that builds on to our open, inclusive, and collaborative environment.
Requirements
- Experience with systems planning in the domains of transportation, aviation, or digital simulation would be valuable.
- Experience with Database and Warehouse solutions, e.g. Data Bricks, Snowflake, Fivetran, DBT and respective public cloud data infrastructure service offerings from AWS, GCP, and Azure.
- Additional desired competencies: Experience with systems planning in the domains of transportation, aviation, or digital simulation would be valuable.
Skills
- Experience working with major cloud environments (Azure, GCP, AWS) and cloud-native software architectures.
Compensation
- 6+ weeks per year
Benefits
- 7+ years experience within Data Science, Data Engineering, and Machine Learning domains and their practical applications Experience working in a startup environment; member of a founding team ideal.
- Strong communication skills put to use by explaining technical vision and deeply technical concepts to a variety of multidisciplinary team members.
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This listing is sourced directly from Up Labs's careers page and normalized into a canonical job model.