Introduction
As a Data Scientist at IBM, you will help transform our clients' data into tangible business value by analyzing information, communicating outcomes and collaborating on product development. Work with Best in Class open source and visual tools, along with the most flexible and scalable deployment options. Whether it's investigating patient trends or weather patterns, you will work to solve real world problems for the industries transforming how we live.

Your Role and Responsibilities
As a Data Scientist, you will:

• Development and deployment of advanced machine learning models to drive business insights and decision-making.
• Analyze large, complex datasets to identify trends, patterns, and opportunities for optimization.
• Work closely with cross-functional teams to understand business requirements and translate them into actionable data science solutions.
• Mentor junior data scientists and provide technical guidance on data analysis, modeling techniques, and best practices.
• Collaborate with engineering teams to integrate machine learning models into production systems.

• Bachelor's degree or higher in Computer Science, Statistics, Mathematics, or related field.
• 8+ years of experience in data science, with a focus on machine learning and statistical analysis.
• Proficiency in programming languages such as Python, or Scala, and data science libraries such as Pandas, TensorFlow, PyTorch, or scikit-learn.
• In depth understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
• Experience with big data technologies such as Hadoop, Spark, or Kafka.

• Proven communication skills and the ability to present complex technical concepts to non-technical stakeholders.
• Experience with cloud platforms such as IBM Cloud and Cloud Pak for Data.