About the RoleWe 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 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
Compensation$160,000 - $200,000 + Equity
This is a full-time, in-person position based at our New York City office.
