Description

You will manage data quality, governance, and the deployment of advanced analytical solutions to solve complex business problems.

Responsibilities

• Integrate diverse data sources, types, and structures into functional data solutions.
• Develop analytical approaches by translating business requests into use cases, test cases, and training data sets.
• Deploy AI/ML techniques and NLP solutions for predictive analytics, keying, and linking.
• Own the development of automated, threshold-based reports to monitor data quality and identify areas for improvement.
• Execute data custodianship and usage protocols to ensure compliance with privacy policies and internal control standards.

Required Skills

• 7+ years of experience applying predictive analytics and modeling to complex business problems.
• 7+ years of experience with data handling, quality tools, and Big Data ecosystems.
• Advanced proficiency in SQL and BigQuery.
• 7+ years of experience with Python, TensorFlow, and Spark.
• Experience developing AI/ML models using Python, Matlab, Scala/Spark, or SAS.
• Strong experience with Google Cloud Platform.
• Bachelor's degree or higher in Mathematics, Statistics, Data Science, Physics, Computer Science, Operations Research, Economics, Engineering, or a related quantitative field.
• Proven experience in data and business insights analysis to drive data quality practices.

Preferred Skills

• Experience with AWS, Snowflake, or Hadoop.
• Experience with NLP, LLMs, or Generative AI.
• Knowledge of commercial or business information related to corporate hierarchy.

Key Skills

Education

Any Graduate