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Job description
Support the team providing end-to-end solution, starting from understanding the requirements, creating research proposals, implementation of the research by exploring different methods and algorithms, documenting and presenting results.
- Use analytical and statistical methods, programming and data modeling to analyze large amounts of data and come up with actionable insights
- Generate and test hypotheses, designing experiments to answer targeted questions of advanced complexity
- Documents projects including business objectives, data gathering and processes, leading approaches, final algorithm, and detailed set of results and analytical metrics
- Work with Product Business Analysts, data scientists, ML engineers, business stakeholders and other technology teams to ensure quality solution is delivered at enterprise scale
- Provide thought leadership by researching standard methodologies in AI/ML, collaborating and contribute actively on the standards and best practices
- Take ownership and have end to end responsibility from planning stage to presenting results
-Work in an agile environment by continuously reviewing the business needs, refining priorities, outlining milestones and deliverables, and identifying opportunities and risks
-Create features and functionalities which enable achievement of business goals by collaborating with stakeholders
-Create and support the product backlog prioritizing features which enable maximizing the business value
-Facilitate backlog decomposition sessions with the technology teams to clearly define requirements from a user perspective, inclusive of acceptance criteria breaking down large stories for the team to consume in one sprint
-Participate in the testing /review sessions and provide support for release
- Contribute to the team in various aspects knowledge sharing, guidance to more junior members, contribute to shared code library, establish best practices and methodologies.
- Use analytical and statistical methods, programming and data modeling to analyze large amounts of data and come up with actionable insights
- Generate and test hypotheses, designing experiments to answer targeted questions of advanced complexity
- Documents projects including business objectives, data gathering and processes, leading approaches, final algorithm, and detailed set of results and analytical metrics
- Work with Product Business Analysts, data scientists, ML engineers, business stakeholders and other technology teams to ensure quality solution is delivered at enterprise scale
- Provide thought leadership by researching standard methodologies in AI/ML, collaborating and contribute actively on the standards and best practices
- Take ownership and have end to end responsibility from planning stage to presenting results
-Work in an agile environment by continuously reviewing the business needs, refining priorities, outlining milestones and deliverables, and identifying opportunities and risks
-Create features and functionalities which enable achievement of business goals by collaborating with stakeholders
-Create and support the product backlog prioritizing features which enable maximizing the business value
-Facilitate backlog decomposition sessions with the technology teams to clearly define requirements from a user perspective, inclusive of acceptance criteria breaking down large stories for the team to consume in one sprint
-Participate in the testing /review sessions and provide support for release
- Contribute to the team in various aspects knowledge sharing, guidance to more junior members, contribute to shared code library, establish best practices and methodologies.
Key job details
Primary Location
Tampa, Florida, United States
Job Type
Experienced
Primary Skills
AIML Libraries
Years of Experience
10
Travel
No
Job Posting
13/09/2024
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