Description

You will develop and implement advanced analytics solutions within a production environment, transforming raw data into actionable insights.

Responsibilities

• Implement mathematical optimization and advanced analytical techniques to solve complex problems.
• Build and deploy machine learning, NLP, and large language model solutions into controlled production environments.
• Manage ETL processes, including data collection, transformation, and querying via SQL.
• Present technical results and complex concepts to diverse audiences, from end users to management.
• Collaborate within agile development methodologies to ensure deliverables meet product requirements.

Required Skills

• 5+ years of professional experience with Python.
• 5+ years of experience in advanced data analytics.
• Hands-on experience with machine learning, natural language processing, and large language models.
• Proficiency in SQL and relational database querying.
• Experience with version control using Git and command line tools in UNIX.
• Experience working with at least one Cloud Provider, preferably Azure.
• Proficiency with visualization tools such as Power BI.
• Knowledge of the Hadoop ecosystem.
• Master's degree in machine learning, statistics, applied mathematics, or a related quantitative field.

Preferred Skills

• Knowledge of Scala and/or Spark.
• Experience with the Cloudera distribution of Hadoop.
• PhD in a quantitative field.

Key Skills

Education

Master's degree