Required Principal Data Science Manager- Azure Monitor
Data Scientist Manager responsibilities include managing the data science team, planning projects, and building analytics models. You should have a strong problem-solving ability and a knack for statistical analysis. If youre also able to align our data products with our business goals, wed like to meet you.
Responsibilities:
Build, mentor, and lead a diverse high-performance team of Data Scientists
Developing novel machine learning and data mining algorithms
Contribute ideas and techniques to shape decisions and improve product quality metrics.
Participate in design, implementation, and execution with a team of engineers, applied scientists and product managers.
Collaborate with Program Managers, Architects and stakeholders for workforce planning, demand planning and end-to-end solution design
Create clarity, generate energy and deliver the impact
Ensuring compliance with Security, Privacy, GDPR etc. and performance criteria
Use data and insights from customer and production to contribute to technical design and implementation decisions
Driving the right trade-offs and the right business impact through the application of data science across high-scale services.
Driving a vision, the ownership of a roadmap, setting goals and delivering results, as committed.
Leading and driving consensus on complex decisions across upper management, team, and cross-organizational stakeholders.
Data Scientist Manager responsibilities include managing the data science team, planning projects, and building analytics models. You should have a strong problem-solving ability and a knack for statistical analysis. If youre also able to align our data products with our business goals, wed like to meet you.
Responsibilities:
Build, mentor, and lead a diverse high-performance team of Data Scientists
Developing novel machine learning and data mining algorithms
Contribute ideas and techniques to shape decisions and improve product quality metrics.
Participate in design, implementation, and execution with a team of engineers, applied scientists and product managers.
Collaborate with Program Managers, Architects and stakeholders for workforce planning, demand planning and end-to-end solution design
Create clarity, generate energy and deliver the impact
Ensuring compliance with Security, Privacy, GDPR etc. and performance criteria
Use data and insights from customer and production to contribute to technical design and implementation decisions
Driving the right trade-offs and the right business impact through the application of data science across high-scale services.
Driving a vision, the ownership of a roadmap, setting goals and delivering results, as committed.
Leading and driving consensus on complex decisions across upper management, team, and cross-organizational stakeholders.
Requirements:
MSc Degree in Computer Science, Data Science, Mathematics or similar field
5 year of experience as Data Science
3+ years people-management experience
Experience in Anomaly detection domain.
Experience with LLMs and NLP an Advantage.
Good knowledge of Python.
Experience with C# – an Advantage.
Excellent communication skills
A business mindset
Prior experience with cloud technology (Microsoft Azure / AWS / Google Cloud).
MSc Degree in Computer Science, Data Science, Mathematics or similar field
5 year of experience as Data Science
3+ years people-management experience
Experience in Anomaly detection domain.
Experience with LLMs and NLP an Advantage.
Good knowledge of Python.
Experience with C# – an Advantage.
Excellent communication skills
A business mindset
Prior experience with cloud technology (Microsoft Azure / AWS / Google Cloud).
This position is open to all candidates.
