Data Scientist/Architect (Sagemaker)

As Data Scientist focused on Machine Learning within the Connected Products team your role will involve partnering with team members to identify, research, and create new modeling algorithms using AWS SageMaker. Familiarity with time series data and forecasting models is a requirement for this position. You will implement, troubleshoot, and optimize solutions based on modern cloud technologies. The right candidate will ensure proper security, design, coding standards and policies are followed. They should apply technical expertise to challenging programming and design problems. Strong communication, interpersonal and team skills, including the ability to work effectively in an agile environment. Demonstrated interest and ability to quickly learn new technologies.
Responsibilities:
• Develop reusable patterns and frameworks as part of the engineering process
• Design and engineer high-performance/large scale AI/Client and automation capability within projects that conform to existing software practices to produce maintainable code, automated testing, continuous integration, etc.
• Work with the business to optimize AI/Client algorithms, data transformations, data presentation, etc.
• Engage with various stakeholders to help drive AI/Client strategies and identify business problems that can be solved creatively utilizing data and AI/Client
• Ability to educate the organization on new approaches on testing hypotheses and statistical validation
• Ability to lead discovery processes with stakeholders to identify business requirements and expected outcomes
• Ability to cross train other team members
Basic Qualifications:
Required Education
• Bachelor's degree in Computer Science, Information Technology, Statistics, Mathematics, Data Science or 10 years of relevant experience
Relevant Skills:
• 5 or more years of experience with AWS Cloud Technologies
• 3 or more years of experience with Artificial Intelligence / Machine Learning experience
• Statistical Modeling
• Forecast Modeling
• Python
• Ability to develop effective working relationships
• Possessing excellent interpersonal skills to include teamwork, facilitation, and negotiation
• Ability to work independently or as part of a team to resolve issues
• Effective written and verbal communication skills
• Demonstrate an ability to work under pressure, manage competing priorities and meet or exceed expectations regarding issue identification, resolutions and communication.
Preferred Qualifications:
• AWS SageMaker, AWS SageMaker DeepAR, Jupyter Notebooks
• VPC, S3, EC2, Lambda, SNS, SQS, RDS, EMR, Nifi, Glue, Batch, Step Functions
• Kafka, AKS, Kinesis Streams, Kinesis Firehose, Spark Streaming
• AWS Certification
• Expert skills in data analysis and data mining
• Experience with project testing, implementation, and deployment activities across multiple, cross-functional teams