Data Scientist

All vacancies of AustraliaInformation & Communication TechnologyData Scientist

We have an exciting new opportunity for an experienced Data Scientist to join our Healthcare team based in Melbourne.

Summary about this job

Developers/Programmers

Company: Siemens Healthcare Pty Ltd

Location: Melbourne

Work type: Full Time

Salary: n\a

Phone: +61-7-2775-3393

Fax: +61-8-6833-2393

E-mail: n\a

Site:

Detail information about job Data Scientist. Terms and conditions vacancy

We at Siemens Healthineers are committed to helping healthcare providers globally to succeed in today’s dynamic environment. We are inspired to transform the way things are done – because we want what is best for our people, our customers and ultimately the health of mankind.

While we are invested in engineering excellence – leading-edge medical technologies and services, we don’t stop there. We’re also deeply invested in our 46,000 people with the hearts of pioneers and minds of engineers, highly committed and connected in this industry. And as we strive to shape the future of healthcare, our overall success will depend on our ability to continuously reinvent ourselves.

We have an exciting new opportunity for an experienced Data Scientist to join our Healthcare team based in Melbourne. As a Data Scientist for Siemens Healthineers you play a lead role in the analyzing and enriching our data to support solving business-specific questions and problems to generate viable market offerings.

Key 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 grade 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
 

Your profile:

•       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 data 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

•       Strong project management skills

•       Open to travel for business

•       Knowledge in MS Excel, Access, PowerPoint

In return, we offer a rewarding team environment and a commitment to your ongoing learning and development through project management mentoring and professional project management training programs.

Applications close Friday 13 July 2018.

Responds for Data Scientist on FaceBook

Read all comments for Data Scientist. Leave a respond Data Scientist in social networks. Data Scientist on Facebook, LinkedIn and Google+