Data Scientist, Industry Solutions Engineering

Key Skills

Aartificial intelligence, Data science techniques, DXP solutions, Econometrics, Effective communication skills, Machine learning techniques, Mathematical modeling

Job Description

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!

We are hiring Data Scientists 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 working side-by-side with high-impact engineers and strategic customers to solve complex problems. You will communicate trends and innovative solutions to stakeholders. You will work cross-functionally with several teams including crews, product teams, and program management to deploy business solutions.

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! 

At Microsoft, we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world. Within ISE, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers.  It’s an informal and flexible work environment and you’ll be welcome to work in the way that best enables you to get your job done. 

We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.

Qualifications

​Required / Minimum Qualifications:

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

• 5+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
• 3+ years of data science related experience including, but not limited to, any of the following: training models for computer vision, recommendation systems, speech transcription models, speech synthesis models, tabular data or natural language processing; deploying models to production, monitoring model performance, performance metrics optimization, MLOps pipelines, solution design and architecture, cloud-based cognitive services, software engineering and writing code ready for production.

Preferred Qualifications:

• Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years 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 5+ 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 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
• OR equivalent experience.
• Experience working as part of geographically dispersed, diverse, and virtual teams
• Enjoy travel and are comfortable with travel up to 25%
• Demonstrated ability to work with customers and collaborate across company boundaries

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

Business Understanding and Impact 

• Leads data-driven projects with business acumen and data science expertise.

Data Preparation and Understanding 

• Manages data collection and preparation for projects. 

Modeling and Statistical Analysis 

• Applies machine learning solutions and algorithms to achieve objectives, prepare and evaluate data, and communicate findings and risks.
• Writes scripts in various languages and understands Microsoft AI and Machine Learning tools.
• Designs experiments and operationalizes models at scale. Coaches other engineers on best practices.

Evaluation 

• Understands relationship between selected models and business objectives.
• Ensures clear linkage between selected models and desired business objectives.
• Defines and designs feedback and evaluation methods.
• Coaches and mentors less experienced engineers as needed.
• Presents results and findings to customer stakeholders. 

Industry and Research Knowledge/Opportunity Identification 

• Provides feedback, coaching, and support to engineering team and other teams based on business knowledge, technical expertise, and industry trends. 

Coding and Debugging 

• Demonstrates excellent coding and debugging skills across multiple features/solutions. 

Business Management 

• Drives business value by collaborating with stakeholders and improving solutions. 

Customer/Partner Orientation

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