Senior Machine Learning Scientist

Newbridge is partnering with one of global clients to identify top talent for this critical role. Our clients team of experts will work closely with you to ensure a seamless hiring process.

Job Summary:

We're seeking an exceptional Senior ML Scientist to join our client's team of innovators. As a Senior ML Scientist, you will play a key role in developing and implementing machine learning solutions that drive business growth and improvement. You will work closely with cross-functional teams to design, develop, and deploy ML models that meet business needs.

Key Responsibilities:

1. Develop and Implement ML Solutions: Design, develop, and deploy machine learning models that drive business growth and improvement.
2. Collaborate with Cross-Functional Teams: Work closely with data scientists, engineers, and business stakeholders to identify business needs and develop ML solutions.
3. Analyze Complex Data Sets: Analyze large, complex data sets to identify trends and patterns that inform business decisions.
4. Stay Up-to-Date with Industry Trends: Stay current with the latest developments in machine learning and AI.
5. Communicate Complex Concepts: Communicate complex technical concepts to non-technical stakeholders.

Requirements:

1. Advanced Degree in ML or Related Field: Ph.D. or Master's degree in machine learning, computer science, or a related field.
2. Proven Experience in ML: At least 5 years of experience in machine learning, with a focus on developing and implementing ML solutions.
3. Strong Technical Skills: Proficiency in programming languages such as Python, R, or Julia, and experience with ML frameworks such as TensorFlow or PyTorch.
4. Excellent Communication Skills: Ability to communicate complex technical concepts to non-technical stakeholders.

Nice to Have:

1. Experience Working with Large Data Sets: Experience working with large, complex data sets to identify trends and patterns.
2. Knowledge of Cloud-Based Technologies: Knowledge of cloud-based technologies such as AWS or Azure.
3. Experience with Agile Development Methodologies: Experience with Agile development methodologies such as Scrum or Kanban.