Data Scientist
Data Engineer (Contract)
Location: Remote (Candidates MUST reside in Georgia; Atlanta/Alpharetta preferred)
📆 6-Month Contract | 💼 W2 Only | No C2C or 3rd Party Vendors - No Exceptions
About the Opportunity:
We are representing a leading global organization in the financial services and technology space seeking a Data Scientist to join their team. This role focuses on supporting machine learning initiatives and migrating data processes to Google Cloud Platform (GCP).
As a key member of the analytics engineering group, you will work on cloud-based automation, data pipeline design, and ML/AI module creation in a high-performance, collaborative environment.
What You’ll Do:
• Build and optimize automated ML/AI pipelines for data preparation and processing.
• Support GCP data migration and project transitions in partnership with Data Scientists.
• Develop Python and BigQuery-based analysis scripts for performance and scalability.
• Integrate and cleanse data from multiple sources to support identity and fraud solutions.
• Participate in end-to-end dataset creation, testing, and deployment.
• Collaborate with cross-functional teams to implement business and technical requirements.
• Ensure adherence to best practices for data management, maintenance, and reporting.
What We’re Looking For:
• 3+ years of professional experience as a Data Engineer or in data wrangling roles.
• Strong Python programming background, including experience with PySpark.
• Proficiency with SQL and Big Data querying tools (e.g., Hive, Impala, BigQuery).
• Hands-on experience with cloud platforms (preferably GCP).
• Familiarity with bash scripting and ETL workflows.
• Working knowledge of GitHub, Data Studio, Big Table, and Cloud Composer/Dataflow is a plus.
• Basic knowledge of machine learning, TensorFlow, PyTorch, or graph mining is highly desirable.
• Understanding of Kubernetes or container orchestration systems is a strong plus.
• Strong analytical and communication skills; ability to work independently and collaboratively.
Preferred Qualifications:
• Bachelor's degree in Computer Science, Engineering, or a related field.
• Master’s degree in Data Science or Computer Science is a plus.
• Previous experience in banking, e-commerce, or high-volume data environments.
• GCP certification is a plus, but not required.
STONE Resource Group is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, or national origin.
Data Engineer (Contract)
Location: Remote (Candidates MUST reside in Georgia; Atlanta/Alpharetta preferred)
📆 6-Month Contract | 💼 W2 Only | No C2C or 3rd Party Vendors - No Exceptions
About the Opportunity:
We are representing a leading global organization in the financial services and technology space seeking a Data Scientist to join their team. This role focuses on supporting machine learning initiatives and migrating data processes to Google Cloud Platform (GCP).
As a key member of the analytics engineering group, you will work on cloud-based automation, data pipeline design, and ML/AI module creation in a high-performance, collaborative environment.
What You’ll Do:
• Build and optimize automated ML/AI pipelines for data preparation and processing.
• Support GCP data migration and project transitions in partnership with Data Scientists.
• Develop Python and BigQuery-based analysis scripts for performance and scalability.
• Integrate and cleanse data from multiple sources to support identity and fraud solutions.
• Participate in end-to-end dataset creation, testing, and deployment.
• Collaborate with cross-functional teams to implement business and technical requirements.
• Ensure adherence to best practices for data management, maintenance, and reporting.
What We’re Looking For:
• 3+ years of professional experience as a Data Engineer or in data wrangling roles.
• Strong Python programming background, including experience with PySpark.
• Proficiency with SQL and Big Data querying tools (e.g., Hive, Impala, BigQuery).
• Hands-on experience with cloud platforms (preferably GCP).
• Familiarity with bash scripting and ETL workflows.
• Working knowledge of GitHub, Data Studio, Big Table, and Cloud Composer/Dataflow is a plus.
• Basic knowledge of machine learning, TensorFlow, PyTorch, or graph mining is highly desirable.
• Understanding of Kubernetes or container orchestration systems is a strong plus.
• Strong analytical and communication skills; ability to work independently and collaboratively.
Preferred Qualifications:
• Bachelor's degree in Computer Science, Engineering, or a related field.
• Master’s degree in Data Science or Computer Science is a plus.
• Previous experience in banking, e-commerce, or high-volume data environments.
• GCP certification is a plus, but not required.
STONE Resource Group is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, or national origin.
