About Us: GE Healthcare provides transformational medical technologies that are shaping a new age of patient care. GE Healthcare's expertise in medical imaging and information technologies, medical diagnostics, patient monitoring and life support systems, disease research, drug discovery, and biopharmaceutical manufacturing technologies is helping physicians detect disease earlier and to tailor personalized treatments for patients. GE Healthcare offers a broad range of products and services that are improving productivity in healthcare and enhancing patient care by enabling healthcare providers to better diagnose and treat cancer, heart disease, neurological diseases, and other conditions. Headquartered in the United Kingdom, GE Healthcare is a $15 billion unit of General Electric Company (NYSE: GE). Worldwide, GE Healthcare employs more than 43,000 people committed to serving healthcare professionals and their patients in more than 100 countries.
GE is an equal opportunity employer and supports diversity.
Role Summary: The Data Scientist will be responsible for developing valuable algorithms, rules, KPIs and reports, working cross-functionally with Engineering, GRC, GE Digital, ITPE and others to address statistical, machine learning and data mining problems in an applied research environment. In this role, you will apply modern machine learning and statistical methods for finding structure and value in both large and small data sets.
Essential Responsibilities: • Identify data sets required to develop predictive models for solving internal and external business problems • Explore data sets and identify data transformation and data quality needs for targeted applications • Develop algorithms and predictive models to derive insights and business value from data • Test and validate algorithms and models using statistical and other techniques • Effectively communicate technical analyses and results to business management • Protect the Intellectual Property rights of the company • Work with technical teams in application and deployment of data mining methods • Perform exploratory, and targeted data analyses • Ensure proper definition of data needs, evaluation of data quality, and critique appropriate statistical analyses; for critical projects, perform needed analyses • Ensure proper definition of data needs, evaluation of data quality, and critique appropriate statistical analyses
Qualifications/Requirements: • Bachelor’s degree in Computer Science, Mathematics, or Engineering, or closely related fields • Minimum of 5-7 years of experience in data, analytics, or related industry • Practical understanding of the Data modeling concepts • Experience in one or more analytics software tools and packages e.g. Matlab, R, Python etc • Experience with SQL and one RDBMS product (Oracle, Teradata etc.) • Experience in software development and the software development lifecycle • Ability to clearly communicate program status, issues, risks, plans, etc. to leadership • Shown ability to build and maintain online and printed documentation • Effective great team mate and contributor with solid communication skills in interfacing with both team members and management • Able to simplify strategy into specific actions with clear accountability, make decisions with speed and accuracy based on best available information, and communicate priorities clearly and concisely. • Deeply knowledgeable in data concepts and technologies
Desired Characteristics: Experience with Linux/Unix operating system, shell script, and perl • Experience with one BI visualization software (Tableau, Spotfire, etc.) • Experience with data extraction, data cleansing, data manipulation, ETL tools, and big data technologies, data dictionaries, and data management processes • Global mindset with ability to effectively work on distributed remote teams • Familiarity with IT Systems and software development • Experience / familiarity with Remote Monitoring & Diagnostics • Strong communication skills with ability to communicate effectively / clearly at different levels in the organization • Ability to work well in team environment • PhD. in Computer Science, Mathematics, Applied Statistics OR in "STEM" Majors (Science, Technology, Engineering and Math) • Experience to apply theoretical knowledge to solve industrial problems • Experience with integrated Big Data programming environments and Competency in major analytics software packages and programming environments (e.g. Hadoop / Map-Reduce, Mahout; Python, R, Java etc. in Big data paradigms)
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