Lead Data Scientist

Lead Data Scientist (Full Remote)

Lead hands-on data science and data engineering efforts to deliver intelligent analytics within AppOmni’s SaaS platform.

Responsibilities

• Design and build scalable batch and real-time data processing systems.
• Drive development decisions across data/model architecture and data modeling.
• Establish monitoring, observability, and data governance practices to ensure data quality.
• Develop and operate scalable ETL workflows and production data infrastructure.
• Build and run large-scale data pipelines and distributed data processing systems.
• Partner closely with Product and Engineering to deliver customer-facing capabilities.

Requirements

• Strong proficiency in Python and PySpark.
• Experience with streaming/real-time systems and orchestration frameworks such as Airflow and Apache Beam / Dataflow.
• 7–10+ years experience as a Data Scientist, Applied Scientist, Data Engineer, or Machine Learning Engineer, with ownership of production systems.
• Experience across multiple areas of the data stack, including:
  • data engineering, analytics, infrastructure
  • monitoring/governance, APIs, and visualization
• Proven ability to thrive in cross-functional, highly technical environments.
• Strong foundation in statistical modeling and applied data science techniques.
• Familiarity with monitoring/observability/governance/reliability for production data systems.
• Strong written and verbal communication skills.

Nice-to-haves

• Hands-on experience in the GCP ecosystem, especially big data services such as Dataproc, Dataflow, Pub/Sub, and related storage/data lake technologies.