Senior Data Scientist - Compliance

Key Skills

AI technology, Effective communication skills, Machine learning techniques, MS Dynamics, PowerBI, Python Programming, SQL

Job Description

Overview

Embrace the thrilling new opportunity in risk and compliance, where innovative ideas, visionary insights and AI are at the forefront. We're seeking individuals with a passion for diving into data, unifying diverse information streams, and extracting pivotal insights that drive strategic decisions and create tangible business value. If you thrive in dynamic environments, relish complex challenges, and have a knack for weaving compelling narratives from data-driven discoveries, your expertise is in demand.

Join us as a Senior Data Scientist in Compliance, where your initiative and eagerness to master new processes and business areas will be instrumental. Your ability to dissect data to unearth insights and identify opportunities for leveraging Machine Learning (ML) and automation is crucial. With a talent for navigating through uncertainty and an aptitude for problem-solving and teamwork, you'll play a key role in our continuous pursuit of excellence.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond

Qualifications

Required/Minimum Qualifications

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) 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 3+ years 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 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.

Additional or Preferred Qualifications

• Experience working with audit, risk, and/or controls and compliance functions.
• Experience building and maintaining models with python or other programming languages.
• Experience working with data in Microsoft environments Azure Blob, Dataverse, and Dynamics.
• Experience working with Microsoft analytic and data science tools including SQL Server, Azure AI Search (formerly Cognitive Search), and Power BI.
• Deep cross-organizational leadership and influence skills.

Data Science IC4 - The typical base pay range for this role across the U.S. is USD $112,000 - $218,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $145,800 - $238,600 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications for the role until April 19, 2024.

Responsibilities

• Lead and scope a portfolio of Compliance projects. Outline alternative approaches and identify pros, cons, risks and provide recommended approaches. 
• Leverage business expertise to analyze problems, drive strategy and recommend improvements.
• Independently write efficient, readable code/models. Develop expertise in proper modeling, coding, and/or debugging techniques such as locating, isolating, and resolving errors and/or defects.
• Identify data sources, integrate multiple sources or types of data, apply expertise within a data source to develop methods to compensate for limitations and extend the applicability of data.
• Validate, monitor, and drive continuous improvement to methods, and propose enhancements to data sources that improve usability and results.
• Maintain a deep knowledge of industry trends, technologies, and advances to drive innovation and develop new solutions, including current and emerging methodologies in automation, AI, and ML.
• Interpret data and communicate/simplify concepts for non-technical audiences.
• Engage with Financial Experiences Engineering team, Finance, Data, Experiences (FDE), and other engineering and Finance groups within Microsoft to develop innovative solutions.
• Support and educate citizen developers with limited coding experience.

Other

• Embody our culture and values