- We are looking for a Senior Technical Product Specialist who will support product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
- They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
1. Need experience of total 8-12 years, 4-5 of which should have been in Data Sciences (could have started career with Programming)
2. They should have been in a consumer-orientated Product Ownership role (taken an ML/AI based software product from Concept/Research to production (external users/clients used the product) - with the product having had at least a 9mo-1year roadmap of features that were developed over time. (Consumer orientated - means the final product had features that an external client/customer accessing using web frontend - like a Search function etc.)
3. The product they worked on needs to have had extensive Web Crawling/Web Scraping features (for data/information gathering), and they should have experience in search and ranking of information repositories.
4. They should have been involved in Product Management, QA, DB architecture, sizing of Cloud/Infrastructure activities for prioritisation, functionality, performance, and user testing.
5. They should be well versed in Agile based development lifecycles.
- Must have experience of client handling roles
- Must have worked in cross functional team as an Individual Contributor and mentor
- Proven abilities to take initiative and be innovative
- Analytical mind with a problem-solving aptitude
- Measurable experience in managing and growing profitable satisfied key projects and/or relevant project management experience.
- Confident in influencing senior management, development, and sales teams.
- Build and maintain effective partnerships with key cross functional leaders and project team members.
- Good Communication and Analytical Skills
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