Junior Data Scientist

Key Skills

AWS, Azure, Data Analytics, Data science techniques, Data Visualization, Deep Learning, Effective communication skills, Google Cloud Platform (GCP), Linear regression, Machine learning techniques, Python Programming, R Programming, SAS, SQL, Tableau, XGBoost

Job Description

As a member of the Data Science team, you will focus on working on cutting edge customer projects in diverse area from product recommendations, fraud detection, supply chain optimization and demand forecasting.

Full of energy, fresh ideas, and ambition, you are the sort of person who loves learning new things, is open to being challenged and has the confidence to challenge us too. We are looking for fresh graduates (with < 1 yr of post-graduation experience) with the enthusiasm, creativity and business acumen to drive real innovation, and become our future leaders. 

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. 

Your goal will be to help our customers analyze trends to make better decisions. 

Responsibilities

• 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. 

Requirements

• 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.