Siemens Healthineers develops innovations that support better patient outcomes with greater efficiencies, giving providers the confidence they need to meet the clinical, operational and financial challenges of a changing healthcare landscape. With 45,000 employees Siemens Healthineers is one of the world’s largest suppliers of technology to the healthcare industry. As a global leader in medical imaging, laboratory diagnostics, and healthcare information technology, they have a keen understanding of the entire patient care continuum—from prevention and early detection to diagnosis and treatment.
Name of the
Organization: Siemens
Requisition
ID: 445897
Positions: Data
Scientist
Location: Chennai
Salary: As per
company Norms
Required
Skills & Qualifications:
- Degree in quantitative discipline (e.g. Mathematics, Computer Science, Electrical Engineering, etc.)
- Strong Analytical skills
- Sound knowledge on statistics / stochastics
- Hands-on programming experience (of minimum one year)
- Proficiency in at least one programming language (e.g. SAS , R, Matlab, C, C++, Java, Python, PHP, JavaScript)
- Experience in working with large data sets, incl. SQL coding (of minimum 6 months)
- Experience in data integration, data transformation, evaluation of data quality and da ta cleansing
- Hands-on experience in implementing analytical algorithms (e.g. prediction models)
- Generally IT-savvy (able to solve day-to-day IT challenges independently)
- Experience working with SAS Tools (Enterprise Guide, Enterprise Miner, Data Integration Studio, Visual Analytics) is an added advantage
- Good problem solving skills
- Good communication skills (verbal and written)
- Strong project management skills
- Good time management and organizational capabilities
- Open to travel for business
- Knowledge in MS Excel, Access, PowerPoint
Responsibilities:
- Maintain network to customers, business experts and other subject matter experts to understand business data analytics requirements and identify data analytics driven business opportunities
- Conduct data exploration and identify relevant data sets and new relations in data
- Identify further data requirements and integrate such data
- Develop and test prototypes in an industrial environment, validate and communicate results to answer targeted business questions
- Develop marketable (product grad e quality) analytic models, configure and deploy algorithms, selects optimal tool and define visualization method/tool to display results
- Set up visualization systems to display results in most appropriate way based on cognitive science
- Define and provide requirements to IT infrastructure
- Determine sustainable processes to support fast growing data volumes and ensuring of data quality and data accessibility together with the data architect
- Collaborate with Enterprise IT, service and product business units to maintain analytics models
- Implement and manage big data analytics projects and present results to stakeholders inside and outside the company
- Explore new innovative technologies and open source projects
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