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Senior Data Scientist

1 month ago


Union, United States JobRialto Full time
Job Summary

We are seeking a highly experienced Sr. Data Scientist to join our team. The ideal candidate will have expertise in data ingestion and transformation within multi-cloud environments, integrating APIs, and building dataflows to support analytics and machine learning models. The role requires hands-on experience with big data technologies, programming skills in Python or Scala, and the ability to mentor cross-functional teams. This position focuses on developing high-performance predictive models and optimizing data processes to achieve operational efficiency and valuable insights.

Key Responsibilities

•Manage data ingestion and transformation processes across multi-cloud environments (Azure, GCP).

•Integrate APIs and build dataflows to support analytics and machine learning models.

•Re-engineer orisk data models, migrating from SAS to GCP BigQuery and Python, leveraging BigQuery's parallel processing for improved efficiency.

•Lead and mentor cross-functional teams, providing guidance on Python, BigQuery, and GCP buckets while fostering a collaborative development environment.

•Establish coding standards aligned with benchmarks to enhance code quality and consistency.

•Translate complex SAS logic into GCP BigQuery workflows using JavaScript UDFs to streamline calculations and improve operational efficiency.

•Design and optimize high-performance models, such as a loan default prediction model, achieving a 97% AUC score on a 240M-record dataset.

•Revamp income prediction models to forecast future earnings with improved accuracy and performance.

Required Qualifications

•Strong experience with Deep Learning frameworks (TensorFlow, PyTorch, etc.).

•Expertise in graph algorithms and working with embedded spaces.

•Hands-on experience with big data technologies such as Databricks and Snowflake.

•Proficiency in data manipulation, modeling, and analytics.

•Strong programming skills in Python, Scala, or similar languages.

•Expertise in cloud technologies such as Azure, GCP, or AWS.

•Strong problem-solving, analytical, and communication skills.

•Ability to work with large, complex datasets and derive actionable insights.

Preferred Qualifications

•Knowledge of cloud platforms, including AWS, Azure, or GCP.

•Experience working with multi-cloud data environments.

•Strong ability to collaborate and mentor in cross-functional team settings.

Education: Bachelors Degree