Data Science Trainee

2 Months ago • Upto 1 Years • Data Analyst

Job Summary

Job Description

As a Data Science Trainee at Rackspace Technology, you'll contribute to cutting-edge customer projects involving product recommendations, fraud detection, supply chain optimization, and demand forecasting. You'll develop analytical models for insight generation, implement machine learning techniques, and explore new data science techniques and programming languages. Collaboration and independent work are key, focusing on delivering results on schedule. The role involves contributing to team discussions, following MLOps practices, and selecting and implementing data science models. This is a US shift-working role for recent graduates (<1 year post-graduation experience) with a strong analytical background, passion for machine learning, and business acumen.
Must have:
  • Strong analytical skills
  • Proficiency in math and statistics
  • Critical thinking and problem-solving
  • Passion for machine learning
  • Ability to work independently and collaboratively

Job Details

As a member of the Data Science team, you will focus on working on cutting-edge customer projects in diverse areas 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.

- To develop analytical models for insight generation that improve 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 into 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
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.
 
 
More on Rackspace Technology
Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
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.
 
 
More on Rackspace Technology
Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
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