A Principal Data Science Manager oversees strategic information initiatives and maintains a team to develop advanced analytics answers. Responsibilities include guiding initiatives from idea to implementation, making sure of alignment with organization goals, and fostering innovation in statistics-driven choice-making. Expertise in tool studying, statistical analysis, and effective conversation is critical for fulfillment.
- Job Role: Principal Data Science Manager
- Salary: ₹56.1 Lakhs per year
- Location: Hyderabad, Telangana
- Company: Microsoft
- Qualification: Bachelors or higher degrees
About Company:
Microsoft Corporation, based in 1975 through Bill Gates and Paul Allen, is an international chief in generation and software program answers. Headquartered in Redmond, Washington, Microsoft develops, licenses, and supports a tremendous kind of products and services, which include the Windows running system, Office suite, Azure cloud computing platform, and Surface hardware. The corporation’s venture is to empower everyone and every organization on this planet to acquire more through innovation and technological enhancements. With a sturdy dedication to sustainability and social responsibility, Microsoft maintains to form the future of computing and digital transformation internationally.
Role Overview:
Join Microsoft as a Principal Data Science Manager in Hyderabad, Telangana. Led the FUEL team in the Office Experience Organization (OXO), the use of huge data to decorate product overall performance and patron delight. Collaborate with executives and engineers, handing over information-driven insights and compelling reminiscences. Requires 10+ years of enjoy, a history in Computer Science or associated fields, and strong communication abilties. Microsoft values range and provide equal opportunity and resorts.
Roles and Duties Of Principal Data Science Manager:
Leadership and Strategy:
You are responsible for defining the statistics generation vision and approach aligned with commercial company desires. This entails main a group of facts scientists and analysts, placing priorities, and ensuring projects deliver actionable insights.
Project Oversight and Execution:
You oversee the execution of information technological understanding tasks from inception to of completion. This consists of defining venture scopes, allocating property, dealing with timelines, and ensuring deliverables meet amazing necessities.
Technical Expertise:
You provide technical guidance and mentorship to your crew. This entails staying updated with the trendy advancements in information science, gadget mastering, and AI, and using them to resolve complex commercial employer issues.
Stakeholder Management:
You act as a bridge between technical organizations and senior control, translating technical findings into actionable insights for decision-making. Effective verbal exchange and presentation talents are essential for conveying the cost of facts-pushed obligations.
Innovation and Collaboration:
You foster a culture of innovation within the information technological understanding group, encouraging experimentation with new gear and techniques. Collaboration with move-practical teams consisting of IT, marketing, advertising, and operations is vital for integrating records-pushed answers for the duration of the business company.
Qualification:
- Education: Bachelor or higher degrees in Computer Science, Statistics, Mathematics, Physics, Engineering, or related disciplines.
- Extensive Experience: A minimum of 10 years in shipping services, with a background spanning software engineering, program management, and data science/engineering.
Skills Required For Principal Data Science Manager:
As a Principal Data Science Manager, excelling in this role requires a mix of technical information, management abilities, and strategic questioning. Here are the pinnacle five competencies critical for success in this role.
Advanced-Data Science Knowledge:
A deep expertise of device-gaining knowledge of, statistical modeling, statistics mining, and predictive analytics is vital. This includes skills in programming languages which include Python or R, and experience with frameworks like TensorFlow or PyTorch.
Leadership and Team Management:
Ability to steer and mentor a crew of data scientists, making sure their artwork aligns with business dreams. This includes fostering a collaborative surrounding, supplying steering on complex technical troubles, and promoting professional increase.
Business Acumen:
Translating data insights into actionable company strategies is prime. This expertise includes expertise organizational objectives, figuring out opportunities for leveraging records, and effectively speaking findings to stakeholders at all tiers.
Problem-Solving and Analytical Thinking:
Being capable of approaching complicated troubles analytically, spoiling them down into manageable additives, and making bigger innovative answers through the usage of records-driven methodologies.
Communication Skills:
Articulating technical concepts to non-technical stakeholders, consisting of executives and cross-practical teams, is crucial. This skill moreover encompasses energetic listening, negotiation, and the functionality to steer desire-making primarily based mostly on records insights.
Why Microsoft?
Cutting-part Innovation: Microsoft leads in technological improvements, supplying possibilities to work with present-day equipment and frameworks.
Global Impact: Influence international industries and shape the destiny of the era with Microsoft’s extensive reach and assets.
Career Growth: Ample avenues for professional improvement, continuous getting to know, and professional development.
Diverse Teams: Collaborate with diverse teams of specialists in the course of disciplines and domain names.
Impactful Projects: Work on excessive-impact responsibilities that solve complicated worrying situations at an international scale.
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