Senior Data Scientist - Compliance

Microsoft; Redmond (WA); On-site; USD 112,000 - 218,400; Full time

Job summary

Microsoft is looking for a Senior Data Scientist in Compliance to drive innovative data solutions. The ideal candidate will possess extensive experience in managing both structured and unstructured data and will be instrumental in applying machine learning techniques to enhance compliance strategies.

This role requires a doctoral or master's degree in a relevant field along with hands-on experience in the domain. An attractive salary range between $112,000 and $218,400 annually is offered based on location and experience.

Qualifications

• Doctorate in Data Science or related field with 1+ years of experience.
• Master’s Degree with 3+ years of experience, or Bachelor's with 5+ years.
• Experience in audit, risk, or compliance preferred.

Responsibilities

• Lead Compliance projects and recommend improvements.
• Write efficient code/models; troubleshoot where necessary.
• Engage with various teams to develop solutions.

Skills

Data management

Statistical analysis

Machine Learning

Programming in Python

Azure environments

SQL Server

Power BI

Education

Doctorate in relevant field

Master’s Degree in relevant field

Bachelor’s Degree in relevant field

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.

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

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