Jobs for People with MS: National MS Society

Introduction

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe.

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 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 encouraged 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 development opportunities in an environment that embraces your unique skills and experience.

Your role and responsibilities

We are seeking an experienced Data Scientist. The ideal candidate will have a deep understanding of Machine Learning, Generative AI, and Large Language Models, combined with strong leadership abilities. This role will be responsible for business development, overseeing the development and implementation of advanced data-driven solutions as well as mentor a team of talented data scientists. In your role, you may be responsible for:

Technical Oversight:

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Oversee the design, development, and deployment of Machine Learning models and AI solutions.

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Ensure the use of best practices in data science, including model validation, performance monitoring, and continuous improvement.

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Stay informed about the latest developments in AI/ML and drive the adoption of relevant technologies within the team.

Team Development:

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Provide mentorship and professional development opportunities to project and practice team members.

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Lead recruitment eKorts to attract top talent and grow the team as needed.

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Help Foster a culture of learning and continuous development within the Data Science

team.

Required technical and professional expertise

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7+ years of experience in Data Science and Machine Learning, with at least 3 years in a leadership role.

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Proven track record of managing and delivering large-scale AI/ML projects.

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Experience with Generative AI and Large Language Models is highly desirable.

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Proficiency in programming languages such as Python, R, or Scala.

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Deep understanding of Machine Learning frameworks (e.g., TensorFlow, PyTorch) and data

processing tools (e.g., SQL, Pandas).

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Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and machine learning

deployment.

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Strong knowledge of Natural Language Processing (NLP) and AI ethics.

Preferred technical and professional experience

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Strong leadership and team management skills with the ability to inspire and motivate.

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Strategic thinking with the ability to align data science initiatives with business objectives.

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Excellent communication skills, capable of conveying complex ideas to a variety of

audiences.

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Proven ability to manage cross-functional teams and work collaboratively across

departments.

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Experience in scaling data science teams and implementing AI solutions in a large

(preferably, consulting) organization.