Lead Data Scientist
New
United StatesFull-TimeLead
Salary210,000 - 240,000 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- 7–10+ years
- Required Skills
- PythonApache AirflowETLGCPMachine LearningData engineeringPySpark
Requirements
- 7–10+ years of experience as a Data Scientist, Applied Scientist, Data Engineer, or Machine Learning Engineer.
- Strong experience building and operating large-scale data pipelines and distributed data systems.
- Hands-on expertise with Google Cloud services (Dataflow, Dataproc, Pub/Sub).
- Strong programming skills in Python and PySpark.
- Experience across the full data stack including analytics, infrastructure, and governance.
- Strong foundation in statistical modeling and machine learning.
- Experience with real-time and streaming architectures and orchestration tools like Airflow and Apache Beam.
- Proven ability to design, deploy, and maintain production-grade ETL workflows.
- Understanding of observability, reliability engineering, and data quality frameworks.
- Excellent communication skills and ability to collaborate with cross-functional stakeholders.
Responsibilities
- Design and implement scalable batch and streaming data pipelines.
- Build and optimize ETL workflows and distributed processing systems using Google Cloud.
- Develop statistical models, analytics frameworks, and machine learning capabilities.
- Lead architectural decisions across data modeling, orchestration, and production systems.
- Build and maintain production-grade workflows using Airflow, Dataflow, Pub/Sub, and PySpark.
- Establish data governance, observability, and quality monitoring practices.
- Partner with Engineering and Product teams to deliver scalable, intelligent product capabilities.
- Contribute to internal data tooling and infrastructure evolution.
- Act as a technical leader and mentor for data engineering and data science initiatives.
View Full Description & ApplyYou'll be redirected to the employer's site
