Data Science Manager of Managers (Financial Services)

Key Skills

Data Analysis, Data science techniques, Machine learning techniques, People management, Project management, Statistics

Job Description

We are hiring a Data Scientist Manager of Managers with deep experience in data management and expertise in developing statistical techniques to analyze data and find patterns. As part of our team, you will be leading as well as working side-by-side with high-impact engineers and strategic customers to solve complex problems. You will communicate trends and innovative solutions to stakeholders. And have the ability to work cross-functionally with several teams including crews, product teams, and program management to deploy business solutions.

Industry Solutions Engineering (ISE) is part of Microsoft Industry Solutions, a global organization of over 16,000 strategic sellers, industry experts, elite engineers, and world-class architects, consultants, and delivery experts who work together to bring Microsoft’s mission of empowerment – and cutting-edge technology - to life for the world’s most influential customers.

The ISE team works directly with customers looking to leverage the latest technologies to address their toughest challenges. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform. In this role, you will be working with engineers from your team and our customers’ teams to apply your skills, perspectives, and creativity to grow as engineers and help solve our customer challenges.

Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world.

Watch this video to learn more about who we are and what we do: https://aka.ms/csevideo.

Qualifications

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

• OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)

• OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR equivalent experience.

• People-management experience.
• Customer-facing, project-delivery experience, professional services, and/or consulting experience, including exposure to business development, demand-generation concepts, and presales.

#ISEngineering

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color

Responsibilities

People Management

• Model - Live our culture; Embody our values; Practice our leadership principles.
• Coach - Define team objectives and outcomes; Enable success across boundaries; Help the team adapt and learn.
• Care - Attract and retain great people; Know everyone's capabilities and aspirations; Invest in the growth of others.

Business Understanding and Impact

• Leads data-science projects or teams to align with business needs and deliver value.

Data Preparation and Understanding

• Leads data acquisition and understanding efforts for engineering projects using various tools and techniques.

Modelling and Statistical Analysis

• Develops and applies ML frameworks and best practices for scalable and ethical solutions.

Evaluation

• Oversees review of data analysis and modelling techniques. Ensures selected modelling techniques are appropriate and align with desired project outcomes. Decides on next steps (e.g., deployment, further iterations, new projects).

Industry and Research Knowledge/Opportunity Identification

• Provides feedback, drives improvement, and shares knowledge as a data science expert.

Coding and Debugging

• Writes and debugs code for complex projects and leads solution development.

Business Management

• Leads ML and data-science partnerships and IP improvement.

Customer/Partner Orientation

• Provides customer-oriented insights and solutions by understanding the business, product, data, and customer perspective.