Product Owner – ML Financial Forecasting
18 (views)
Job role insights
-
Date posted
September 5, 2024
-
Closing date
November 4, 2024
-
Offered salary
€90,000 - €120,000/year
-
Experience
3 - 5 Years
Description
Product Owner – ML Financial Forecasting
Job Description:
- Step out of your comfort zone, excel and redefine the limits of what is possible. That’s just what our employees are doing every single day – in order to set the pace through our innovations and enable outstanding achievements. After all, behind every successful company are many great fascinating people. In a spacious modern setting full of opportunities for further development, employees work in a place where expert knowledge and team spirit reign supreme. All of this is supported by a special ownership structure and the long-term goal of bringing science and society into the future together. Join us today. Inspire people tomorrow. Diversity is part of our culture. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, philosophy of life, disability, age, sexual orientation or identity. Apply now! It takes less than 10 minutes.
IT Languages:
- Python
- R
- SQL
In cross-functional teams, you will drive and manage projects in the field of Machine Learning and Data Science with a focus on timeseries forecasting and financial forecasting. In this role, you will support the preparation and execution of Data Science and Machine Learning projects: from setting the scope to roadmap planning, to execution in an agile manner, to lessons learned that can be integrated into new projects. As part of a vibrant team, you will be in contact with users from different departments, assess and plan Data Science and Machine Learning-related tasks and report outcomes and results. With your organizational and project management skills, you will enable our experts to focus on technical, high-quality solutions. You will be at the interface between our technical experts and different departments to create great software products. You will be an advocate of the work of our Data and Analytics team.:
Spoken Languages:
- English, German
Skillset:
- Machine Learning
- Data Science
- Project Management
- Timeseries Forecasting
- Stakeholder Management
- Agile Methodologies
- Communication Skills
Qualifications:
- An excellent University degree in Natural Science
- Mathematics
- Computer Science
- Engineering
- or equivalent
- At least three years of professional experience in project management in Machine Learning and Data Science
- focused on timeseries data and Financial Forecasting
- Professional experience as a Product Owner
- Ability to understand the technical architecture of Machine Learning and Data Science solutions and State of the Art Web Applications
- Experience with best practices in timeseries modeling
- forecasting model development
- deployment
- and operation
- A good understanding of the power of standardization at the core and innovative flexibility at the shell
- Experience in stakeholder management
- Ability to understand customer needs and solve real-world problems
- Strong communication
- presentation
- and project management skills
- Basic knowledge of corporate data governance best practices
- Fluent in both German and English
Years of Experience:
- 3
Location:
- München, EU
Job Benefits:
- Additional medical services
- Company pension
- Sport activities/facilities
- Flexible working hours
- Company laptop
- Fitness programs
- Incentives and events
- Parking space
- Employee discount
- Cafeteria
- Company mobile phone
- Childcare
- Company medical officer
- Coaching
- Home office
- Company car
- Extra day off
- Public transport ticket
- Study allowance
- Car/Travel allowance
- Good transport connections
Working Conditions:
- Full Time
Employment Type:
- Permanent contract
Company Culture:
- Innovative
- collaborative
- and inclusive
- fostering both personal and professional growth.
Opportunities For Advancement:
- Numerous opportunities for professional development and career progression within a dynamic environment.
visa Sponsorship:
- Available
Interested in this job?
0 days left to apply