Description

You will extract insights and predictions from data to drive business value through analytics, data architecture, and management.

Responsibilities

• Extract new information and actionable insights from complex datasets.
• Contribute to data architecture, management, and software strategy implementation.
• Develop and apply machine learning algorithms with precise parameter tuning.
• Collaborate with Data Engineers to optimize database engines for processing needs.
• Support the evolution of the A&AI environment through model-oriented and deployment-oriented tasks.

Required Skills

• 5+ years of experience in data science roles.
• Proficiency in Python, Spark, and R/RStudio.
• Strong foundation in mathematics, probability, and statistics.
• Experience with SQL and data visualization techniques.
• Hands-on use of development tools including Conda, GitLab, Jupyter, and PyCharm.
• Knowledge of deployment tools such as Docker, Kubernetes, Jenkins, Nexus, and Control-M.
• Experience with Ansible scripts and Kafka.
• Familiarity with Fortify and SonarCube.
• Ability to apply industrialization tools and deployment methodologies.

Preferred Skills

• Experience with Scala or Flink.

Key Skills

Education

Any Graduate