Data Scientist - Operations
Role details
Job location
Tech stack
Job description
- Build, develop and support data & AI opportunities with the digital organization and business lines across products and solutions.
- Satisfy requirements, execute projects and ensure dependability.
- Setup, build, test, evaluate and improve machine learning models and AI systems.
- Develop and deploy software for data & AI initiatives while consulting with a broad and diverse set of stakeholders.
- Ensure reliable, scalable and efficient execution in data science operations.
- Bring capabilities to sustainable life.
- Engineer and operate with cross-functional teams to drive data & AI vision and broad adoption.
- Remain accountable for quality, development, integration, impact and access of AI-driven solutions
Requirements
- Master's degree in Data Science, Computer Science, Computer Engineering, Statistics, Applied and Industrial Mathematics, Operations Research or equivalent practical experience.
- Significant experience with statistical software (i.e., R, Python, Julia, MATLAB, etc.), understanding of databases (i.e., SQL, NoSQL), machine learning libraries (TensorFlow, PyTorch, etc.), cloud platforms and distributed storage and processing of big data (Hadoop, Spark, etc.).
- Solid understanding of industrial mathematics and statistics.
- Experience in project management, data analysis, research and testing methodology, rapid prototyping.
- Experience in development and deployment at scale of machine learning systems, together with setup and operation of the underlying infrastructure.
- Experience with software engineering methodologies (agile, waterfall, spiral, etc.) and best practices.
- Ability to understand and communicate technical issues to a broad audience base.
- Business fluent in English., * PhD/Doctoral degree in Data Science, Computer Science, Computer Engineering, Statistics, Applied and Industrial Mathematics, Operations Research or equivalent practical experience.
- Proven ability to set strategic & tactical direction and drive high quality execution in teams.
- Experience in customer-facing applications, scientific computing and high-performance computing.
- Proven experience with regulatory frameworks, data governance and compliance.
- Strong track record of managing large scale initiatives and delivering capabilities to drive business growth.
- Demonstrated ability to coordinate cross-functional work teams toward task completion.
- Solid project / change management / business transformation skills, i.e. development and successful implementation of complex projects.
- Business fluent in multiple languages.
Benefits & conditions
Are we the right fit for each other? Have a look at the traits we're looking for. (1 Beginner - 10 Expert)
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Putting people first - be that your colleagues, clients or customers 10
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Always willing to develop self and learn; you are curious and support a culture of continuous learning in order to evolve professionally 8
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Seeks to empower others and collaborate with a collective spirit 10
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Engages and connects with others in a meaningful and respectful way to achieve common goals 9
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Initiates activities and decision making; perseveres with courage and energy to drive results 8
Traits are on a scale of 0 to 10
Rewards
Flexibility to work in the way that makes you most productive
Autonomy to make insightful and informed decisions
Meaningful work that makes a difference to peoples lives
Continuous learning through our TAG U Academy, mentoring, and career paths that are diverse and dynamic
Specific local benefits and rewards tailored to each country (holiday allowances, health care and more).