Join Microsoft’s Customer Experience & Success Team as a Data Scientist
Are you passionate about data and eager to make a significant impact in the world of customer experience? Microsoft’s Customer Experience & Success (CE&S) organization is looking for a talented and motivated Data Scientist to join our Global Customer Success (GCS) team. This is an exciting opportunity to work with a global leader in technology, where your skills can help shape the future of customer interactions and drive meaningful business outcomes.
About Microsoft Customer Experience & Success (CE&S)
With over 18,000 employees worldwide, Microsoft’s Customer Experience & Success (CE&S) organization is at the heart of our mission to empower every person and every organization on the planet to achieve more. CE&S is responsible for designing and implementing Microsoft’s end-to-end customer experience, ensuring that our customers receive not only industry-leading products and services but also a differentiated and connected customer experience.
Introducing the Global Customer Success (GCS) Team
The Global Customer Success (GCS) organization plays a crucial role within CE&S. Our team leads the effort to create exceptional customer experiences by developing support offers, driving digital transformation across our tools, and delivering operational excellence. As part of GCS, you will collaborate with a diverse range of teams, including Customer-facing Field teams, Product, Marketing, Engineering, and Finance, to deliver insights and solutions that enhance the value we provide to our customers.
Role Overview: Data Scientist
As a Data Scientist within the GCS team, you will be at the forefront of building predictive models and solving a variety of predictive analytics problems. Your work will involve developing PowerBI dashboards that provide actionable insights into business processes and customer experiences. By leveraging your expertise in data analysis, machine learning, and data visualization, you will contribute to making GCS a recognized hub for advanced data analytics.
What You’ll Do
In this role, you will undertake a range of responsibilities aimed at improving customer experience and driving business success:
1. Translate Business Problems into Analytical Solutions
- Work closely with business partners, analysts, and architects to understand business challenges.
- Develop analytical requirements and build solutions that address these challenges, such as machine learning models, PowerBI dashboards, and segmentation analyses.
2. Develop Predictive Models
- Create models that predict customer issues before they arise, allowing proactive problem-solving.
- Use advanced statistical techniques and machine learning algorithms to forecast trends and behaviors.
3. Build PowerBI Dashboards
- Design and develop interactive dashboards that visualize key metrics and provide insights into business processes.
- Ensure dashboards are user-friendly and deliver actionable information to stakeholders.
4. Conduct Drivers Analysis
- Analyze key operational KPIs using machine learning to identify factors that drive performance.
- Provide recommendations to improve these KPIs based on your findings.
5. Create Simulations to Optimize Processes
- Develop simulations to test and optimize business processes, helping to enhance efficiency and effectiveness.
- Use these simulations to support decision-making and strategic planning.
6. Collaborate with Cross-Functional Teams
- Partner with various teams to tackle business problems and align analytical efforts with strategic priorities.
- Act as an advocate for analytics and business intelligence innovation within the organization.
7. Manage Reporting Needs
- Handle standard and ad hoc reporting requirements, ensuring data accuracy and relevance.
- Manage data feeds to maintain the integrity and reliability of reporting systems.
Qualifications
To excel in this role, you should possess a combination of technical skills, analytical expertise, and strong communication abilities. Here are the key qualifications we’re looking for:
Educational Background
- A Master’s or PhD in Statistics, Econometrics, Computer Science, or a related discipline is preferred.
- A Bachelor’s degree in business, economics, sciences, arts, humanities, or engineering with a quantitative background is also acceptable.
Experience
- 5+ years of hands-on analytics experience, particularly in areas like Regression (Linear, Logit, Gamma), Cluster Analysis (K-Means, Hierarchical), Simulations, Time Series Forecasting, Hypothesis Testing, and Optimization Techniques.
- Proven experience in Business Intelligence (BI) roles, with a strong background in developing analytical solutions and predictive models.
Technical Skills
- Microsoft BI Stack: Proficiency in PowerBI is essential. Experience with data mining and machine learning tools such as SQL, R, Python, SAS, or AzureML is highly desirable.
- Data Modeling and Warehousing: Understanding of data modeling concepts and experience with data warehousing is a plus.
- Reporting Tools: Experience with tools like Tableau, Google Analytics, Coremetrics, and Adobe SiteCatalyst (Omniture) is advantageous.
Communication and Interpersonal Skills
- Excellent written and verbal communication skills, with the ability to present complex data in an easy-to-understand manner.
- Strong interpersonal skills to collaborate effectively with stakeholders across different teams and levels of the organization.
Problem-Solving Ability
- Demonstrated ability to deliver high-impact solutions in complex business settings.
- Flexibility to tackle challenges outside your current knowledge and skill sets, continuously learning and adapting.
Personal Attributes
Beyond technical qualifications, we value the following personal attributes:
- Attention to Detail: Precision and accuracy in your work are crucial.
- Self-Discipline: Ability to manage your time and projects effectively, especially in a remote work environment.
- Growth Mindset: Eagerness to learn, innovate, and improve continuously.
- Adaptability: Comfort working in ambiguous situations and navigating across organizational boundaries.
Why Join Microsoft’s GCS Team?
Working at Microsoft offers a unique blend of opportunities, culture, and benefits that support your professional and personal growth. Here’s why you should consider joining our team:
1. Flexibility and Remote Work
- Enjoy the flexibility of working up to 100% from home, allowing you to maintain a healthy work-life balance.
- Flexible working hours to accommodate your personal schedule and working style.
2. Innovative Culture
- Be part of a team that values innovation and forward-thinking in advanced data analytics.
- Work alongside experts in statistical analysis, data visualization, machine learning, and more.
3. Professional Development
- Access to continuous learning opportunities and resources to advance your skills.
- Engage in projects that challenge you and allow you to grow professionally.
4. Collaborative Environment
- Collaborate with cross-functional teams, gaining insights and perspectives from various parts of the organization.
- Participate in a culture that values respect, integrity, and accountability.
5. Impactful Work
- Contribute to projects that have a direct impact on enhancing customer experiences and driving business success.
- Help shape the future of customer interactions with Microsoft’s industry-leading products and services.
6. Inclusive and Diverse Workplace
- Join a team that celebrates diversity and fosters an inclusive environment where everyone can thrive.
- Microsoft is committed to creating a culture of inclusion, ensuring that all employees feel valued and supported.
7. Competitive Compensation and Benefits
- Receive a competitive salary and benefits package that reflects your skills and experience.
- Opportunities for bonuses and other performance-based rewards.
Microsoft’s Commitment to Diversity and Inclusion
Microsoft is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We believe that a diverse workforce drives innovation and helps us better serve our global customers. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations, and ordinances.
If you require assistance or a reasonable accommodation during the application process due to a disability, please let us know. We are committed to providing the necessary support to ensure all candidates can participate fully.
How to Apply
If you have the relevant experience and innovative ideas to solve complex business problems, we would love to hear from you. Join Microsoft’s GCS team and be part of a future where customer experiences are not just good but magical. Apply today through our careers page and take the first step towards an exciting and rewarding career with Microsoft.
Our Mission and Values
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. As part of our team, you will embody our core values of respect, integrity, and accountability. We believe in fostering a culture of inclusion where everyone can thrive, both at work and beyond. Every day, we work together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals.
What to Expect as a Microsoft Data Scientist
Joining Microsoft means becoming part of a global community that values your contributions and supports your growth. Here’s what you can expect:
Challenging Projects
- Work on projects that push the boundaries of data science and analytics.
- Tackle real-world business problems that have a significant impact on our customers and the company.
Supportive Team Environment
- Collaborate with a team of experts who are passionate about data and customer success.
- Receive mentorship and guidance to help you grow in your role.
State-of-the-Art Tools and Technologies
- Utilize the latest tools and technologies in data science, machine learning, and business intelligence.
- Stay at the forefront of industry advancements and continuously enhance your technical skills.
Global Impact
- Your work will influence customer experiences on a global scale, helping thousands of organizations achieve more.
- Be part of a company that makes a positive difference in the world through technology and innovation.
Success at Microsoft
Success at Microsoft is measured by your ability to drive results, collaborate effectively, and continuously seek improvement. We value individuals who take initiative, embrace challenges, and contribute to a positive team environment. As a Data Scientist in the GCS team, your insights and analytical skills will be pivotal in enhancing customer experiences and driving business success.
Final Thoughts
Joining Microsoft’s Customer Experience & Success team as a Data Scientist is more than just a job; it’s an opportunity to be part of a global leader in technology, work on impactful projects, and grow both professionally and personally. If you are driven by data, excited about solving complex problems, and eager to contribute to a culture of innovation and inclusion, we encourage you to apply and join us in building the future of customer experience.
Ready to Empower and Innovate? Apply Now!
Take the next step in your career by joining Microsoft’s Global Customer Success team. Apply today and help us create customer experiences that are not only exceptional but also transformative. Visit our Microsoft Careers Page to explore more opportunities and submit your application.
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