Job Summary
Job Description
As a Data Scientist at Rackspace Technology, you'll be a full-spectrum AWS integrator, working directly with customers and the team to enable innovation through continuous, hands-on deployment across technology stacks. Responsibilities include building data science pipelines (model building, A/B testing, NLP, computer vision, AR/VR visualizations), delivering ML models and pipelines solving real-world business problems using ML Ops best practices, leveraging cloud-based architectures for optimized ML models at scale, and using Python, Scikit-Learn, TensorFlow etc. You'll manipulate large datasets with big data tools, build complex data transformation code and SQL queries across various databases (MongoDB, Oracle, SQL Server, MariaDB, MySQL), work with structured and unstructured data, apply supervised/unsupervised machine learning techniques, and communicate technical results effectively. The role requires deep experience with R or Python, SQL, ETL jobs, and data labelling/structuring techniques.
Must have:
- Manipulating large datasets with big data tools
- Building complex data transformation code and SQL queries
- Experience with R or Python, SQL, and ETL jobs
- Applying supervised and unsupervised machine learning techniques
- Using ML frameworks like Scikit-Learn, PyTorch, or TensorFlow
17 skills required
Job Details
As a full spectrum AWS integrator, we assist hundreds of companies to realize the value, efficiency, and productivity of the cloud. We take customers on their journey to enable, operate, and innovate using cloud technologies – from migration strategy to operational excellence and immersive transformation.
If you like a challenge, you’ll love it here, because we’re solving complex business problems every day, building and promoting great technology solutions that impact our customers’ success. The best part is, we’re committed to you and your growth, both professionally and personally.
Overview
- Our Data Scientists are experienced technologists with technical depth and breadth, along with strong interpersonal skills. In this role, you will work directly with customers and our team to help enable innovation through continuous, hands-on, deployment across technology stacks. You will work to build data science pipelines that include building models, A/B testing, natural language processing, computer vision and AR/VR visualizations. You will deliver ML models and pipelines that solve real-world business problems, while leveraging ML Ops best practices, to ensure successful deployment of ML models and application code You will leverage cloud-based architectures and technologies to deliver optimized ML models at scale You will use programming languages like Python and work with popular ML frameworks like Scikit Learn, TensorFlow etc..
- If you get a thrill working with cutting-edge technology and love to help solve customers’ problems, we’d love to hear from you. It’s time to rethink the possible. Are you ready?
Responsibilities & Tasks
- 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
#LI-JB2
#LI-Remote
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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