As a Sr Data Scientist, you will be part of a data science or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization.
- Partner with GE Software Engagement Managers to shape Statements of Work for Data Science opportunities and GE Software Solutions
- Participate in Data Science Workouts to shape Data Science opportunities and identify opportunities to use data science to create customer value
- Serve as a recognized technical leader in data science - anticipate, develop and apply technology to current and future business opportunities.
- Proficient in statistics, machine learning and deep learning technologies
- Identify opportunities to use data science to create customer value, execute on the same.
- Develop, verify and validate analytics to address customer needs and opportunities, communicate methods, findings and hypothesis with stakeholders.
- Influence the decisions the leadership takes with relevant inputs and suggestions.
- Being aware of the latest technology trends in the industry and introducing the relevant ones within the organization
- Identifies IP Opportunities and Supports technical roadmap development within domain , site , Organization.
- Lead initiatives to continuously improve data science methodologies and processes, leveraging lean principles to enhance efficiency and effectiveness in project delivery.
- Develop, verify, and validate analytics to address customer needs and opportunities.
- Work as part of a cross-functional team to translate algorithms into commercially viable products and services.
- Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
- Communicate methods, findings, and hypotheses with stakeholders.
- Ensure that projects comply with relevant aerospace industry regulations and standards, maintaining the highest levels of safety and quality.
The Ideal Candidate
- Ideal candidate should have experience in Image Analytics, Computer Vision, Python and cloud platforms
Required Qualifications:
- Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) with 5+ experience in data science
- Demonstrated skill in the use of Python and / or other analytic software tools or languages
- Demonstrated skill in guiding teams to solve business problems
- Strong communication, interpersonal and leadership skills
Preferred Qualifications:
- Humble: respectful, receptive, agile, eager to learn
- Transparent: shares critical information, speaks with candor, contributes constructively
- Focused: quick learner, strategically prioritizes work, committed
- Leadership ability: strong communicator, decision-maker, collaborative
- Problem solver: analytical-minded, challenges existing processes, critical thinker