Data Science IC4 at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Apr, 26

Salary

234700.0

Posted On

17 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Preparation, Data Management, Statistical Analysis, Machine Learning, Predictive Modeling, SQL, Python, R, Data Ethics, Data Integrity, Business Intelligence, Experiment Design, Data Quality, Collaboration, Thought Leadership, Communication

Industry

Software Development

Description

Overview Microsoft’s Global Media and Partnerships team is a diverse, collaborative, solutions-oriented team committed to planning, activating and fiscally managing all paid media/advertising, strategic partnerships and agency relationships across Microsoft. The team works across business groups to tie objectives, insights and innovation together to drive business impact through world-class media investment and measurement strategies. We are seeking a highly skilled and experienced Senior Data Scientist - Media Optimization to join our dynamic team. The ideal candidate will have a background in data science, business intelligence, or business and financial analysis, along with significant experience in paid media measurement, optimization 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. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. Responsibilities Data Preparation and Understanding Prepare and manage data for project plans, proactively detect changes, and communicate updates to senior leads. Develop usable data sets, contribute to data ethics and privacy policies, and engage with customers about data integrity and cleanliness. Evaluating for Insight and Impact Ensure models align with business goals, evaluate their effectiveness, design feedback methods, mentor engineers, and present findings to stakeholders. Industry and Research Knowledge / Opportunity Identification Provide technical feedback to the engineering team, identify business opportunities, propose collaborations, support strategy execution, leverage existing systems, share industry knowledge, and contribute to thought leadership and best practices. Modeling and Statistical Analysis Use machine learning solutions and algorithms to identify the best approach for objectives. Understand and apply modeling techniques, manage data quality, and communicate findings to stakeholders. Write scripts in T-SQL, U-SQL, KQL, Python, and R. Construct hypotheses, design experiments, analyze results, and communicate effectively. Develop scalable operational models with data engineering teams. Coach engineers on best practices. Understand Microsoft's Artificial Intelligence (AI) and Machine Learning (ML) tools. Break down complex topics for customers. Help the Solution Architect and provide guidance on model operationalization that is built into the project approach using existing technologies, products and solutions, as well as established patterns and practices. Embody our culture and values. 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 Doctorate 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 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 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Media Specialty Experience 3+ years experience building predictive models. 3+ years experience writing SQL to analyze data. 3+ years experience writing code to include: Python, R or comparable languages. Data Science IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. 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 need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

The role involves preparing and managing data for projects, evaluating models for business impact, and providing technical feedback to the engineering team. Additionally, the candidate will be responsible for using machine learning solutions to achieve objectives and communicating findings to stakeholders.