Data Science Project Manager


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  • Managing IT Project in the field of Data Science using the agile and hybrid methodology

  • Managing scope, budget, time and quality in the project

  • Leading communication with team members and the customer

  • Knowledge management during and after the project (lessons learned, best practices, process improvements)

  • Organizing and leading meetings with the customer to present project progress and plan the next actions

  • Making sure the project team is performing efficiently. Building team spirit. · Developing DS&AI CoE business within the area – searching for new opportunities

  • Offers and presentations preparation

  • Building and maintaining relations with customers (mostly through close cooperation during project acquisition, delivery and maintenance)

  • Putting ambitious goals and developing own competencies

  • Nice to have: leadership or at least involvement in technical discussions with customer and project team – advising on the architecture, building scalable, maintainable, automated and enterprise ready solutions (best practices), business value, DS/AI/ML tools and techniques

  • Min 4 years of professional experience as a Project Manager in IT projects (especially in Data Science/AI area)

  • Proven knowledge and experience in the following fields: Machine Learning, Data Science, Artificial Intelligence

  • ML Ops, solution operationalization, DevOps

  • Excellent communication, decision making and problem solving skills

  • Experience in people management, customer management, project delivery

  • Experience in project monitoring, controlling and reporting

  • Presentation skills

  • Strong analytical skills

  • Fluent written and spoken English (C1)

  • Ability to work in a team and build a good atmosphere

  • Ability to achieve excellence under time and stress pressure

  • High ambition, motivation, and passion to achieve things that no one achieved before

  • Self-driven and proactive approach

  • Professional approach to work

Nice to have:

  • Extensive experience in the following roles: architect (preferable ML/AI architect), delivery leader, business analyst

  • Experience in PM standards implementation

  • Knowledge and experience in BI, DWH, Cloud solutions etc. Azure or any other cloud platform (GCP, AWS)

  • Understanding is a big plus

  • Experience from consulting companies

  • Stable employment. On the market since 2008, 1200+ talents currently on board in 7 global sites.

  • “Office as an option” model. You can choose to work remotely or in the office.

  • Flexibility regarding working hours and your preferred form of contract.

  • Comprehensive online onboarding program with a “Buddy” from day 1.

  • Cooperation with top-tier engineers and experts.

  • Certificate training programs. Lingarians earn 500+ technology certificates yearly.

  • Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.

  • Grow as we grow as a company. 76% of our managers are internal promotions.

  • A diverse, inclusive, and values-driven community.

  • Autonomy to choose the way you work. We trust your ideas.

  • Create our community together. Refer your friends to receive bonuses.

  • Activities to support your well-being and health.

  • Plenty of opportunities to donate to charities and support the environment.

  • Modern office equipment. Purchased for you or available to borrow, depending on your location.


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