Data Scientist @ Rackspace Technology | Jobright.ai
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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

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data miningPredictive analyticsStatistical modellingInfrastructureDatabase architecturesPythonML frameworksSKLearnPyTorchTensorFlowAWS ecosystemData science toolsComputational algorithmsStatistical methodsStructured dataUnstructured dataAWS certificationsSQLArtificial IntelligenceTableauVisualization toolsKafkaConfluentCI / CDCloud Native ComputingDockerKubernetesConsulVault

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

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Be ready for what’s next with multicloud solutions from Rackspace Technology™. We are the multicloud solutions experts.

Funding

Current Stage
Late Stage
Total Funding
unknown
2016-08-08Acquired· by Liquid Web

Leadership Team

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Amar Maletira
Chief Executive Officer
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Mark Marino
Chief Financial Officer
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Company data provided by crunchbase
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