Data Scientist Lead for Projects
Data Scientist Lead for Projects
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Job Description
We make machines speak! Find out how by becoming one of our team members in Boschs Home of Intrapreneurs. Digital Twin Integrated Asset Performance Management is a corporate startup that is going global and faces huge business potential which now needs to be realized. Therefore we need you as contributors shapers & fellow team members in a multicultural innovative and ambitious environment. Together we will take human and machine intelligence to a next level of humanmachine collaboration based on learning algorithms & realworld challenges with large industrial machinery.
As a Lead Data Scientist for Digital Twin Integrated Asset Performance Management you will spearhead the development and implementation of datadriven solutions that harness digital twin technology to optimize asset performance across diverse industries. You will collaborate closely with internal and customer project teams to identify requirements design innovative solutions and oversee their seamless integration into existing systems.
Key Tasks/Topics:
Requirements Analysis: Conduct comprehensive analysis of stakeholder requirements to grasp business objectives and challenges pertaining to asset performance management.
Solution Design: Lead the conceptualization and design of endtoend datadriven solutions leveraging digital twin technology to monitor analyze and optimize asset performance.
Customer Projects: Interface to customer to capture the requirements design and review responsibilities.
Data Integration: Develop strategies for seamlessly integrating digital twin solutions with existing systems and data sources to provide a unified perspective on asset performance.
Model Development: Direct the development of advanced analytical models and algorithms to extract actionable insights from digital twin data enabling predictive maintenance and performance optimization.
Deployment and Implementation: Oversee the deployment of datadriven solutions collaborating closely with development teams and stakeholders to ensure successful implementation and alignment with business objectives.
Customer Collaboration: Interface with customer project teams to understand their specific requirements provide technical expertise and ensure alignment of datadriven solutions with overall project goals.
Continuous Improvement: Stay abreast of emerging technologies and industry trends in data science digital twin and asset performance management to identify opportunities for innovation and enhancement of solutions.
Qualifications
Education: Masters degree in computer science statistics physics or related field.
Experience: 5 years of experience in data science and machine learning with a focus on leading teams and developing advanced models for business challenges.
Specialization: Experience in vibration monitoring or turbomachinery is preferred.
Technical Proficiency: Strong skills in data analytics frameworks machine learning algorithms and programming languages including Python and Matlab.
Leadership: Demonstrated ability to lead teams and deliver impactful solutions.
Communication: Excellent communication and stakeholder management skills.
Collaboration: Ability to work effectively in crossfunctional teams.
Problemsolving: Strong analytical skills with a focus on delivering business value through datadriven solutions.
Qualifications :
Masters degree in computer science statistics physics or related field.
Additional Information :
5 years
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
