Applied Data Scientist - Production ML & Data Pipelines

Thread AI, Inc.; New York (NY); On-site; USD 160,000 - 200,000; Full time

Job summary

Thread AI in New York City is seeking an Applied Data Scientist to design, build, and maintain robust data pipelines and data-driven solutions for production ML models.

You will work with Python, Spark, and cloud platforms to optimize data workflows, ensure scalability, and collaborate with cross-functional teams in a fast-paced environment. This full-time, in-person role offers equity and the chance to impact AI-native workflow orchestration.

Qualifications

• 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 ETL workflows
• Familiarity with containerization technologies (e.g., Docker, Kubernetes) and workflow orchestration tools (e.g., Airflow, Luigi)
• Comfortable working with a wide variety of data including unstructured data and high-volume real-time sensor data
• Excellent problem-solving skills, attention to detail, and ability to work effectively in a fast-paced, collaborative environment
• Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders

Skills

Excellent problem-solving skills

Strong communication

Ability to work in fast-paced env

Tools

Python

Apache Spark

Flink

SQL

Docker

Kubernetes

Airflow

Luigi

AWS

GCP

Azure

Job description

Thread AI in New York City is seeking an Applied Data Scientist to design, build, and maintain robust data pipelines and data-driven solutions for production ML models.

You will work with Python, Spark, and cloud platforms to optimize data workflows, ensure scalability, and collaborate with cross-functional teams in a fast-paced environment. This full-time, in-person role offers equity and the chance to impact AI-native workflow orchestration.