Data Science - Trainee

Key Skills

AWS, Azure, Data Analytics, Data science techniques, Data Visualization, Deep Learning, Google Cloud Platform (GCP), Linear regression, Logistic Regression, Machine learning techniques, Python Programming, R Programming, Random forests, SAS, SQL, Tableau, XGBoost

Job Description

• To develop analytical models for insight generation that improves business decision making.
• Responsible for experimenting with and implementing machine learning techniques on internal/external customer projects.
• Responsible for learning new data science techniques/programming languages and exploring their viability on current projects.
• Will contribute to data science team discussions, providing insight on current approaches and methods,
• Follows established MLOps practices in software development.
• Data science model selection and implementation.
• Working independently while collaborating well within the team.
• Have worked autonomously and delivered results on schedule.
• Degree in Management Information Systems (MIS), Data Science/Analytics, Computer Science, Statistics and/or equivalent formal training
• Proficient with machine learning and statistics
• Knowledge in classification (random forest, logistic regression), regression (linear, XGBoost) and clustering (k-means)
• Software development experience
• Proficient in Python/R/SAS, SQL, Data Visualization (e.g. Tableau or Power BI), deep learning frameworks, Spark
• Excellent communication skills
• Proficient with cloud computing in environments such are AWS, Google Cloud, Microsoft Azure
• Participated in numerous data science projects.
• Utilized several data science methodologies.
• Attention to detail
• Multi-tasking
• Strong analytical skills

About Rackspace Technology

We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.