(2024 Campus Hire) Associate Data Scientist

Key Skills

Aartificial intelligence, Algorithms, CNNs, Data Analytics, Data science techniques, Deep Learning, Effective communication skills, Machine learning techniques, MATLAB Programming, Natural Language Processing (NLP), Python Programming, R Programming, RNNs, Scala Programming, TensorFlow

Job Description

You’ll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including IBM Software and Red Hat.

Curiosity and a constant quest for knowledge serve as the foundation to success in IBM Consulting. In your role, you’ll be supported by mentors and coaches who will encourage you to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in ground breaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and learning opportunities in an environment that embraces your unique skills and experience.

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

Data Scientist will work on a variety of research and development projects leveraging multiple analytical techniques (data mining, text mining, and deep learning). Scope of projects will include Marketing, Merchandising, Customer Analytics, and Image/Video Recognition.

Specifically, you will

• Collaborate with a global Data Science team to develop and implement methodologies
• Work with solution leaders and engineers to ensure understanding of analytical requirements
• Ensure that all algorithms scale and if needed can be executed in real time
• Engage with customers to understand their business problems

Required Technical and Professional Expertise

The below is only a guideline – if you have transferable skills that can be applied to this role, apply anyway! At IBM, if you have the passion and drive, we will support your learning.

We are looking for entry level candidates with below expertise:

• Statistical Knowledge such as regression, time series, mixed model, Bayesian methods, clustering, etc., to analyze data and provide insights
• Experience with large-scale, real-world problems on data science; deep learning modeling experience, such as CNN, RNN, LSTM and frameworks include TensorFlow, Keras
• Demonstrated communication skills; comfortable speaking with scientific and business audiences at all levels of an organization
• Basic understanding of programming language for analytics such as R, Python, Matlab, Scala
• No Working Experience is Required
• Fluent English and Mandarin communication

To perform this role, you will demonstrate the following qualities and behaviors:

• Positive attitude, communication, creativity, problem solving, taking ownership
• Fast learner, team work and has passion to work with people across the regions
• Adaptable to rapidly changing requirements, deadlines and requirements

Preferred Technical and Professional Expertise

• Expertise in Machine Learning and Natural Language Process is a plus
• Familiarity with large structured, semi-structured, and unstructured data is a plus