Description

You will integrate diverse data sources and structures into scalable data solutions to meet specific business requirements.

Responsibilities

• Integrate various data types and structures into cohesive data solutions.
• Develop analytical approaches by translating business requests into use cases, test cases, and training datasets.
• 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.
• Implement data custodianship and usage controls to ensure compliance with privacy policies and standards.

Required Skills

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

Preferred Skills

• Experience with NLP, LLMs, and Generative AI.
• Experience working on big data platforms such as AWS, Snowflake, or Hadoop.

Key Skills

Education

Any Graduate