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

Qualifications & Experience

• 5+ years of hands-on experience in data mining and predictive analytics with statistical modelling techniques
• 5+ years of experience in networking, infrastructure, or database architectures
• Experienced with Python and modern ML frameworks such as SKLearn, PyTorch or TensorFlow
• 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
• AWS certifications
• SQL
• Artificial Intelligence
• Predictive Analytics
• Tableau or other visualization tools
• Kafka / Confluent
• CI / CD and Cloud Native Computing (Docker, Kubernetes, Consul, Vault)
• #LI-JB2
• #LI-Remote

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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.

 

 

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.