Rackspace Technology · 1 week ago
Data Scientist
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Responsibilities
Manipulating complex, large and dense datasets with big data tools; must be comfortable with SQL and large database systems
Build complex data transformation code
Build complex SQL queries using MongoDB, Oracle, SQL Server, MariaDB, MySQL
Ability to work with structured and unstructured data sets
Deep experience with R or Python, SQL and running ETL jobs
Ability to apply supervised and unsupervised machine learning techniques
Using modern ML frameworks such as SKLearn, PyTorch or TensorFlow
Data labelling, categorization, and structuring techniques
Ability to break down and clearly define problems
Ability to communicate highly technical results to a diverse audience
Excellent analytical and problem-solving skills
Qualification
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Required
5+ years of hands-on experience in data mining and predictive analytics with statistical modelling techniques
5+ years of experience in networking, infrastructure, or database architectures
Experienced with Python and modern ML frameworks such as SKLearn, PyTorch or TensorFlow
Experience working with data in the AWS ecosystem
Experience with advanced data science tools
Experience applying computational algorithms and statistical methods to structured and unstructured data
MS or PhD in Applied Mathematics, Physics, Computer Science, Statistics, or related technical field
AWS certifications
SQL
Artificial Intelligence
Predictive Analytics
Tableau or other visualization tools
Kafka / Confluent
CI / CD and Cloud Native Computing (Docker, Kubernetes, Consul, Vault)
Company
Rackspace Technology
Be ready for what’s next with multicloud solutions from Rackspace Technology™. We are the multicloud solutions experts.
Funding
Current Stage
Late StageTotal Funding
unknown2016-08-08Acquired· by Liquid Web
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