Data Scientist
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Job Location:
Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Job Description Summary
As a Data Scientist you will be part of a data science and cross-disciplinary team on commercially-facing development projects typically involving large complex data sets. These teams typically include AI scientists statisticians computer scientists software developers ML and Data engineers product managers and end users working in concert with partners in GE HealthCare business units. Potential application areas include predictive maintenance remote monitoring and diagnostics across infrastructure and industrial sectors financial portfolio risk assessment and operations optimization.GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has no limits. Unlock your ambition turn ideas into world-changing realities and join an organization where every voice makes a difference and every difference builds a healthier world.
Job Description
Roles and Responsibilities:
Develop analytics within well-defined projects to address customer needs and opportunities.
Work alongside data scientists ML engineers and data/MLOps 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 Qualification
Bachelors Degree in Computer Science or STEM (Science Technology Engineering Math) with a minimum of 2 years of work experience
Proficiency in analytic tools libraries and AI frameworks (e.g. Python Scikit-Learn Pandas Seaborn PyTorch TensorFlow Keras Hugging Face Transformers)
Experience in data cleansing data quality assessment and analytics for data evaluation
Expertise in applied analytics including descriptive and predictive analytics on industrial datasets
Awareness of feature extraction and real-time analytics methods
Understanding of analytic prototyping scale-up scaling and solutions integration
Awareness of industry and technology trends in Data Science and AI
Understanding of customer and stakeholder management and business metrics
Ability to work effectively in team settings
Strong critical thinking and problem-solving skills
Effective presentation and communication skills
Curiosity and creativity to drive business impact
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.
We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus and drive ownership always with unyielding integrity.
Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you would expect from an organization with global strength and scale and you will be surrounded by career opportunities in a culture that fosters care collaboration and support.
#LI-ML1
#LI-Onsite
Additional Information
Relocation Assistance Provided: No
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
GE HealthCare provides digital infrastructure, data analytics & decision support tools helps in diagnosis, treatment and monitoring of patients
