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- Lead the Data Science team for the organization, focused on building analytical and machine learning solutions that help customers.
- Implementing large-scale data ecosystems including data management and integration of multiple complex systems to provide a seamless experience.
- Leveraging automation, cognitive, and science-based techniques to manage data.
- Developing data science and statistical methodologies to integrate them into product development and customer analytics.
- Advance the Artificial Intelligence (AI), Machine Learning (ML), and Process Mining (PM) roadmap
- Work with development teams that implement new AI/ML features
- An Leader with12+ years of experience in Data Engineering & Analytics
- Strong IT transformation experience in large-scale data lakes using the agile framework in the AWS Big Data Analytics ecosystem.
- An experienced leader in scaling data engineering systems with compute, storage, security, cost-conscious design in the AWS ecosystem
- You have a passion for data and how you can improve the business results by applying AI/ML.
- You are a good communicator, and a lifelong learner.
- You are creative, self paced, and can handle multiple projects going on at the same time
- You are a critical thinker able to influence in a positive manner
- Experienced in Multi-Petabyte size data pipelines, ingestion, standardization, governance, performant publishing using AWS DMS, Kinesis, EMR, Glue, DynamoDB, S3, KMS services
- Experienced in leading large teams in onboarding, coaching, and retaining with technology management
- Front line leader in liaising with business/product owners producing and consuming data to drive a data-driven culture
- Experienced in creating a Data Strategy vision and executing it across business organizations
- Experience in the Telecommunications & Retail industries would be a plus.
- ID: #44461004
- State: Florida South florida 33101 South florida USA
- City: South florida
- Salary: Depends on Experience
- Job type: Contract
- Showed: 2022-07-29
- Deadline: 2022-09-17
- Category: Et cetera