Applied Data Scientist

Thread AI

Thread AI is focused on building an AI-native workflow orchestration engine looking for dedicated individuals to join its growing team. Our goal is to make infrastructure simple for enterprises and public sector agencies seeking to get the most from AI.

Headquartered in New York, our growing team is a group of AI, product, and engineering experts, who have a track record of creating and executing against complex workflows and infrastructure.

Engineering Culture

We're a small and committed technical team that oversees engineering, research, design, product, and operations. We believe that a small dedicated team with a flat structure and collaborative culture can move faster and build better products than large hierarchical organizations.

About the Role

We are looking for a skilled Applied Data Scientist with a strong foundation in data engineering principles to play a key role in developing and implementing data-driven solutions. A successful candidate will be responsible for designing, building, and maintaining robust data pipelines, optimizing data workflows, and ensuring the reliability and scalability of our data infrastructure. This role will require a combination of technical expertise in data engineering, proficiency in programming languages and tools, and the ability to collaborate effectively with cross-functional teams.

What We're Looking For

- 5+ years of experience in building, evaluating, and deploying machine learning and artificial intelligence models into production environments

- Proven experience in data engineering, ETL development, and building data pipelines in production environments

- Proficiency in programming languages such as Python and experience with data processing frameworks like Apache Spark or Flink

- Strong understanding of database systems, data warehousing concepts, and cloud platforms such as AWS, GCP, or Azure

- Skilled in SQL, with extensive experience extracting large datasets and designing ET...