Rackspace
San Antonio, TX
5,001-10,000 employees
Unlock the leading technologies to grow new revenue streams, increase efficiency, and build the future.
Data Scientist
Data Scientist
This job is no longer open
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.
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?
What You’ll Be Doing:
- Confidence with manipulating complex, large and dense datasets with big data tools; must be comfortable with SQL and large database systems
- Ability to Build complex data transformation code
- Build complex SQL queries using MongoDB, Oracle, SQL Server, MariaDB, MySQL
- Excellent 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
- Strong understanding of continuous learning and model training
- Knowledge of data labeling, categorization, and structuring techniques
- Expert ability to break down and clearly define problems
- Strong ability to communicate highly technical results to a diverse audience
- Excellent analytical and problem-solving skills
Qualifications & Experience:
- 3-5 years of hands-on experience in data mining and predictive analytics with statistical modeling techniques
- 3-5+ years of experience in networking, infrastructure, or database architectures
- 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
- Experience in the cyber security domain
- AWS certifications
- SQL
- Kubernetes is a plus
- Artificial Intelligence
- Predictive Analytics
- Tableau or other visualization tools
- Kafka / Confluent
- CI / CD and Cloud Native Computing (Docker, Kubernetes, Consul, Vault)
#Onica
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.
Position is available for remote work in the following states unless otherwise specified. Alabama, Arizona, Arkansas, California, Connecticut, Delaware, District of Columbia, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming.
This job is no longer open