Posted:5 days ago|
Platform:
On-site
Part Time
About this opportunity
You will be responsible for developing scientific methods, processes, and systems to extract knowledge or insights to drive the future of applied analytics. Moreover, you will provide thought leadership, perform Advanced Statistical Analytics, and build insights into data to deliver to the business substantial insights, identify trends, and measure performance which address business problems. In addition, collaborate with business and process owners to understand business issues, and with engineers to implement and deploy scalable solutions, where applicable!
What you will do
1. Engage with Product Line Managers or Strategic Product Managers in support and growth of the portfolio, Interact with partners to publish epic charter, problem definition and success criteria (outcomes)
2. Interact with other automation leaders to improve understanding and finding opportunities for digital improvements in existing implementations
Delivery responsibilities
3. Ensure the integrity of the epics/stories and coordinates prioritization. (Effort allocated, Value, partners etc) Validate value proposition from the engagement team.
4. Support ITPOs / product fusion teams in proposals, credentials, use cases and value proposition
5. Assemble project delivery teams, balancing mix and skills of associates to meet delivery needs. Delivery accountability for epics in the area.
6. Product roadmap and feature improvement responsibility for products in the area.
7. Ensure the smooth ongoing delivery with regular status meetings and reports, and by soliciting continuous feedback from partners
8. Ensure governance processes, checklists and processes are followed. Proactive auditing and risk assessment competencies
9. Handle delivery issues and collaborate with peer teams and partners.
10. Supervise the performance of the team, through proactive delivery management, issue partner concern and reporting Support reusable asset creation, process improvements, automation possibilities and support knowledge sharing across multiple initiatives
11. Provide periodic reporting and presentations to leadership team
You will bring
A Master’s or higher degree in Computer Science, Statistics, Mathematics, or related areas Evidence of academic training in Statistics
Deep/broad knowledge of machine learning, statistics, optimization, or related field
A genuine interest in new and applied technology and software engineering coupled with a high degree of business understanding
Any applied research contributions to the community in terms of technical papers and patents, are encouraged
Why join Ericsson?
At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply?
Ericsson
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