Data Scientist

We are seeking a highly motivated and experienced Data Scientist to support the design, development, and optimization of data infrastructure and advanced analytics solutions. The ideal candidate will have strong full-stack data engineering capabilities and experience building scalable, production-ready data systems., * Design, build, and optimize data warehouse solutions.

• Develop and maintain ETL pipelines and automated data workflows.
• Create and support an analytics "as-a-service" environment.
• Manage full-stack data processes, including:

• Data collection and aggregation
• Data analysis and visualization
• Data enrichment
• Model development and productionization

• Build and maintain infrastructure for:

• Data labeling
• Feature engineering
• Model training and evaluation
• Deployment of online and offline machine learning models

• Drive automation initiatives to improve scalability, efficiency, and flexibility across the organization.
• Develop and operate tools and systems supporting data integration and analytics workflows., Russell Tobin is a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances.

Accommodations We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us.

Only applicable for San Francisco Candidates: Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation.

About Russell Tobin

• 2+ years of experience working with Databricks, Data Lake/Delta Lake, Oracle, AWS Redshift, or similar relational databases.
• 1+ year of hands-on experience with AWS, GCP, or equivalent cloud platforms, including data integration within ecosystems such as:

• AWS Glue
• Kafka
• Elasticsearch
• AWS Lambda
• Amazon S3
• Redshift
• RDS
• Kubernetes
• BigQuery

• 2+ years of experience developing Python-based data pipelines and integration solutions., * Strong experience with source control systems such as Git.
• Experience with CI/CD tools such as Jenkins.
• Hands-on experience developing and maintaining CI/CD pipelines.
• Self-driven and execution-focused, with the ability to manage multiple data integration demands in a fast-paced environment.
• Demonstrated ability to take ownership and deliver results with minimal supervision.