Senior Data Scientist - Social Analytics

Microsoft • Redmond, WA

8h

About The Position

We’re building a Frontier Marketing organization that learns fast and executes with precision and agility through AI-powered insights. Our Marketing Analytics team builds AI and advanced analytics models that enable us to create intelligent tools that empower marketers with the data-driven insights they need to optimize marketing impact and deliver rich recommendations for sellers to drive opportunities in their accounts. To accelerate this transformation to Frontier marketing, we are looking for a Data Scientist – Social Analytics who is excited to work with largescale social and behavioral data and apply analytical and social network techniques to real business problems. This role is designed for an individual contributor who can independently execute well-scoped analytical problems, apply established methods, and deliver insights that inform marketing and communications decisions, with guidance from senior data scientists.
You are a curious data scientist who enjoys working with complex, noisy data and uncovering patterns in how people and communities interact. You are comfortable applying analytical techniques to social and behavioral datasets and are eager to deepen your skills in social network analysis, experimentation, and storytelling with data.
You thrive in a collaborative, matrixed environment and enjoy partnering with analysts, data scientists, and business stakeholders. While you benefit from guidance on problem framing and approach, you can take ownership of execution, manage your work, and deliver high-quality analyses that drive impact.
You care about rigor and clarity, and you’re motivated by turning fast moving social data into insights that help teams make better decisions.
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.

Requirements

• 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.

Nice To Haves

• 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.
• 3+ years of experience ingesting, cleaning, and analyzing largescale social media data, including unstructured and semi-structured signals (e.g., posts, comments, engagement metadata), with attention to data quality, bias, and analytical fitness for use.
• 3+ years of experience applying social network analysis algorithms including community detection, centrality metrics, influence propagation models, graph-based clustering methods.
• 3+ years of experience applying statistical or machine learning techniques to social or behavioral analytics problems.
• 3+ years of experience with advanced visualization techniques for social analytics and tools such as PowerBI.

Responsibilities

• Own and deliver complex social analytics problem spaces end-to-end, leveraging strong analytic judgement while framing ambiguous business questions into clear analytical objectives and success measures
• Apply advanced social network analysis methods (graph analytics, community detection, influence/diffusion modeling) and statistical techniques to understand engagement, behavior, and diffusion patterns to develop actionable insights
• Evaluate and extract insights from noisy, large-scale and unstructured data, developing new methods to improve analytical quality and relevance
• Collaborate with analysts and partners to translate data science solutions into scalable, self-serve analytics experiences
• Drive execution independently, with minimal guidance, identifying key risks, dependencies, and trade-offs to ensure timely, high-impact delivery.
• Partner directly with marketing, public relations, and product stakeholders to translate business questions into data science approaches, influencing decisions through explaining trade-offs and implications of data science results
• Communicate complex findings clearly through narratives, visualizations, and executive-ready materials, translating technical results into business terms and clear recommendations
• Serve as a technical thought leader and mentor across the team by setting high standards for data science quality, documentation and reproducibility, raising the overall bar for rigor and creativity.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level