Job Description

The Sr Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, deep learning, AI, semantic analysis, and statistical methods for finding structure in large data sets.

Roles and Responsibilities

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 data scientists, statisticians, computer scientists, ML engineer, MLOps, DevOps, subject matter engineers, product managers, and end users, working in concert with partners in GE Healthacare business units. Potential application areas include predictive and prescriptive maintenance, remote monitoring and diagnostics across infrastructure and industrial sectors, and operations optimization.

In this role, you will:

• Develop analytics to address customer needs and opportunities.
• Work alongside ML engineers, MLOps and Service Analytics engineers to translate algorithms into commercially viable products and services.
• Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
• Perform exploratory and targeted data analyses using descriptive statistics and other methods.
• Work with data engineers on data quality assessment, data cleansing and data analytics
• Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
• Share and discuss findings with team members.

Required Qualifications

• Master’s degree in applied mathematics, computer science or data science with advanced experience.
• Demonstrated skill in the use of one or more analytic software tools or languages (e.g., Python, data science libraries, Keras/Tensorflow, PyTorch, LLM frameworks)
• Familiar with Agile techniques
• Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
• Demonstrated skill in the use of applied analytics, descriptive statistics, feature extraction and predictive analytics on industrial datasets
• Demonstrated skill at data visualization and storytelling for an audience of stakeholders
• Demonstrated awareness of data management methods
• Demonstrated awareness of real time analytics development and deployment

Domain Knowledge and Personal Attributes

• Strong collaboration skills
• Awareness of critical thinking and problem solving methods
• Presentation and influencing skills
• Good understanding of industry and technology trends
• Awareness of industry and technology trends

Inclusion and Diversity

GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status, or other characteristics protected by law.

Our total rewards are designed to fuel your ambition by providing the flexibility and support you need to turn your ideas into impactful realities. Our compensation and benefits align with what you'd expect from an organization of global reach and scale. You'll find yourself surrounded by career opportunities in a culture that fosters care, collaboration, and support.

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Pay Range

For Poland based positions, Annual Salary Range:234 400,00PLN-322 300,00PLN

Placement within this range depends on:

• Relevant skills and qualifications

• Prior job-related experience

• Internal equity considerations (alignment with colleagues in similar roles) e.t.c.

We review pay ranges regularly to ensure they remain competitive with the external market and align with our internal equity considerations.

Benefits & Rewards

In addition to base salary, our employees have access to a comprehensive package of benefits and allowances, which may include:

• Health & wellness coverage

• Retirement and or savings plans

• Allowances or benefits to support role requirements (e.g., mobility, transport, or role-specific needs such as a company car or allowance where applicable)

• Work-life balance support (e.g., flexible working, leave programs)

• Recognition and incentive programs aligned with performance and company success

The exact benefits package depends on the role, location, and employment terms as specified in the Colleague Value Proposition document that will be shared prior to the interview or at the offer discussion stage.

• Performance Bonus: Details to be shared during offer discussions

Additional Information

Relocation Assistance Provided: No