The Customer Services department in Siemens Healthineers is hiring a Sr. Data Scientist to load structure and enrich data by applying various kinds of advanced data analytics methods, in order to build a scalable Data Warehouse and extract and visualize relevant information for solving business-specific questions and problems.
What are my responsibilities?
Work with an international team of Data Scientists and Data Analysts in Asia, Europe and Americas to drive digitalization of our Healthcare Business
ETL development, Data enrichment, Data analytics and visualization reports
Develop complex queries in Teradata.
Develop data mapping from source to target tables.
Develop SAS DI jobs to extract data from Teradata or other sources and apply business rules.
Create, modify and maintain Stored Processes in SAS DI and SAS EG.
Import data sources (XML, Access, XLS, CSV, TXT) into SAS and Teradata
Maintain network to business experts and subject matter experts to understand business data analytics requirements and identify data analytics driven opportunities
Conduct data exploration; identify relevant data sets and new relations in data
Conduct exploratory data analysis in high dimensions with different kinds of data, e. g. machine data, and process related data, or textual data
Develop re-usable analytic models, configure and deploy algorithms, select optimal tool and define visualization method/tool to display results
Operationalize and maintain such models in a data analytics platform
Develop and test prototypes in an industrial environment, validate and communicates results to answer targeted business questions
Determine and provide data management, quality, and IT infrastructure requirements
Help to assess and implement newest technologies
What do I need to qualify for this job?
Successfully completed university degree (Masters or PhD degree, or Bachelor with exceptional work experience) in mathematics, computer science, physics, electrical engineering, or engineering sciences
At least 5 years of work experience in the domain of data integration, data warehousing, data discovery and data science tasks
Very strong expertise in SAS DI Studio, SAS Enterprise Guide, Teradata (SQL)
Recent working knowledge of SAS data integration studio/teradata
Strong understanding of ETL and BI technologies and Tools
Data warehousing skills include: dimensional data modeling, applying business rules, do data mappings from source to target.
Ability to develop ETL processes to extract data from Teradata, to apply the business rules and data mappings, to load the standardized data back into Teradata, as well as creating tables in Teradata.
Recent/working experience in SAS Viya beneficial for future transitions
Expertise in the area of big data analytics and analytics with structured and unstructured data
Experience in usage and extension of analytical tools and systems, e. g. SAS Enterprise Miner, SAS Visual Analytics, R, Python, Teradata, Hadoop, Spark, or similar data mining Workbenches
Expertise in technologies, algorithms and methodologies in the areas of Data Analytics, Data Mining, Machine Learning
Analytical rigor and statistical methods to improve products and understanding the behavior of end-customers and users of data driven insights
Ability to draw conclusions from data and recommend actions
Ability to think analytically and rapidly learn complex topics, especially in the field of analysis, evaluation and handling of structured and unstructured / multi-structured data
Strong presentation and communication skills on technical and business level
Requisition Number: 218866