Lead Data Scientist

Responsibilities

• Align architectural designs with business priorities and justify technology choices.
• Assist in the adoption of modern data architectures, event-driven architectures, and real-time analytics integration.
• Maintain oversight of system reliability, scalability, and performance requirements.
• Experience & Education:
• Min 8 Years
• A bachelor's or advanced degree in computer science, data science, operations research, applied mathematics, engineering, physics, or related field. Experience in more than one area is strongly preferred
• Proven experience in leading challenging data science projects
• Technical Skills:
• Strong knowledge of math, probability, statistics, and algorithms
• Expertise with the Python data science ecosystem (pandas, scikit-learn, PyTorch/Keras, etc.) and with common machine learning approaches (generalized linear models/regression, clustering, tree-based methods, deep learning, etc.).
• People Skills:
• Must demonstrate the ability to work in diverse, cross-functional teams in a dynamic business environment
• Candidates must be curious, creative, self-driven, and energetic self-starters
• Excellent written and verbal communication skills
• Join us for a great career with competitive compensation and benefits, while helping engineer a better future.

Additional Information

Key accountabilities: Work on a team designing innovative software and algorithms to solve real-world problems in industrial processes. Use machine learning techniques, statistical tests, classical algorithms, and physically-motivated models as appropriate Perform in-depth exploratory analysis of data from the field and laboratory experiments Acquire domain knowledge about mechanical systems to aid in interpretation, analysis, and model building. Display drive and curiosity to understand the business to its core Develop applications according to requirements using a variety AI/ML and analytical techniques Maintain and update the analytics software platform (Python) Establish best practices around AI/ML production infrastructure, including building robust data pipelines and implementing MLOps Keep abreast of developments in the field Collaborate with engineering and product development teams Technical ownership, collaboration, code reviews and implementing best practices, etc. Key activities: The lead data scientist will assume a role of significant leadership on a team that is responsible for planning, executing and delivering novel projects as John Crane incorporates advanced analytics and machine learning throughout our products and services, with a current emphasis on developing predictive diagnostics for industrial equipment. The role brings the capabilities of solution architecture and design using latest tech stack and in house developed platform. He/she applies extensive technical expertise and has full knowledge of other related disciplines. This role requires the data scientist to be a hands-on software developer.

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Company Intel

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