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13 days old
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Jobs Rated7th
As a Data Scientist, you will
- Identify opportunities to impact Cisco’s strategy, operations, and execution with data science insights
- Be the problem-solver and catalyst that will help business teams make better decisions using Data and Analytics
- Bring an inter-disciplinary skill set of Applied Math, Technology and Business
- Design, build, and operationalize models using the latest in AI/ML techniques to deliver meaningful solutions
- Develop Data Products/Services across Descriptive, Inquisitive and Predictive Analytics to improve business processes and drive tangible business outcomes
- Above all, come with a curious mind and a passionate learning attitude
Requirements
Do you thrive in a multi-tasking, rapid prototyping, and agile development environment? You bring the ability to draw conclusions from data and recommend actions. Good interpersonal skills are an important part of what you bring to this role.
Our minimum requirements for this role
- BS/BA in an analytical or technical field (e.g. Math, Statistics, Data Science, Computer Science, Operations Research, Physics, or Engineering). MS preferred.
- 5-8 years of industry experience in analytics/data science, preferably with some of that at a B2B company
- Consulting experience (especially analytics consulting) a plus
- You are skilled at defining problem statements, breaking down complex or fuzzy business problems into analytical questions, quantifying the impact to the business, synthesizing data to “tell the story,” and recommending solutions
- Excellent statistical understanding and experience with ML algorithms including regression, clustering, classification, decision trees, time series forecasting, neural networks, deep learning, etc.
- Experience with Python, R, SQL languages in analytical contexts
- Experience with large data sets and distributed computing, data warehousing, data integration, and ETL tools (e.g. Teradata, Hadoop, Hive, Spark, SAP HANA)
- Experience with ML frameworks/libraries e.g. TensorFlow, PyTorch, Caffe, Scikit-learn, Pandas, etc.
- Understanding of tools and infrastructure needed to support data science efforts. Bonus for cloud technologies e.g. Google Cloud Platform, AWS, Azure
- Experience with visualization tools, e.g. D3, Angular, Shiny, Tableau, Qlik, Data Studio, etc.
Categories
Jobs Rated Reports for Data Scientist
Posted: 2019-11-22 Expires: 2020-01-21
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