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.

Education

Any Graduate