Job Description

Do you want to be on the leading edge of using big data and help drive engineering and product decisions for the biggest productivity software on the planet? Office Product Group (OPG) has embarked on a mission to delight our customers by using data-informed engineering to develop compelling products and services. OPG is looking for an experienced professional with a passion for delivering business value with data insights and analytics to join our team as a Data & Applied Scientist.



We are looking for a strong

Senior

Data

Scientist

with a proven track record of solving large, complex data analysis problems in a real-world software product development setting. Ideal candidates should be able to take a business or engineering problem from a Product Manager or Engineering leader and translate it to a data problem. This includes all the steps to identify and deeply understand potential data sources, conduct the appropriate analysis to reveal actionable insights, and then operationalize the metrics or solution into PowerBI dashboards.



You will be delivering results through innovation and persistence when similar candidates have given up.

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.

Responsibilities

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Dashboard Development and Maintenance:

Design, build, and maintain interactive dashboards and reports in PowerBI to visualize key business metrics and insights. Work closely with stakeholders to understand their data visualization needs and translate business requirements into technical specifications.

Data Extraction and Analysis:

Perform ad-hoc data extraction and analysis from various data sources, including SQL databases, cloud-based data storage solutions, and external APIs. Ensure data accuracy and integrity in reporting and analysis. Deliver high impact analysis to diagnose and drive business critical insights to guide product and business development.

Metric Development and Tracking:

Be the SME who understand landscape of what data (telemetry) are and should be captured Advice feature teams on telemetry best practices to ensure business needs for data are met. Collaborate with product owners and other stakeholders to define and track key performance indicators (KPIs) and other relevant metrics for business performance. Identify trends and insights in the data to support decision-making processes.

User Journey and Funnel Analysis:

Assist product owners in mapping out user journeys and funnels to understand user behavior and identify opportunities for feature improvement. Develop and implement ML models to analyze user journeys and funnels. Utilize a variety of techniques to uncover patterns in user behavior that can help improve the product.

Forecasting and Growth Analysis:

Support the forecasting of key results (KRs) and growth metrics through data analysis and predictive modeling. Provide insights and recommendations to help drive strategic planning and execution.

Qualifications

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Required 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 techn
+ 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 tec
+ OR equivalent experience.
2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.

Preferred Qualifications:

7+ years of experience involving programming with languages Python/R and hands on experience using technologies such as SQL, Kusto, Databricks, Spark etc. 7+ years of experience working with data exploration and data visualization tools like PowerBI or similar. Candidate must be able to communicate complex ideas and concepts to leadership and deliver results. Candidate must be comfortable in manipulating and analyzing complex, high dimensional data from varying sources to solve difficult problems. Bachelors or higher degrees in Computer Science, Statistics, Mathematics, Physics, Engineering, or related disciplines.

Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.