Viva Engage is the industry-defining social network for the enterprise. We provide a platform for millions of employees, including those from 85% of Fortune 500 companies, to build community and culture, share knowledge, and connect with their leaders and each other.
Why Viva Engage?
Acquired by Microsoft in 2012, Viva Engage combines the benefits of a startup – rapid innovation, cutting-edge technology, outsized individual impact – with the advantages of working for one of the most successful software companies in the world. We believe in mission-driven work and in this post-Covid world, our platform has become more indispensable than ever as it fosters connection and a sense of belonging among remote teams.
About this Job
As a Senior Applied Scientist- Viva Engage, your role is to build predictive models that connect individuals with each other and knowledge across organizations. Our focus lies in discovery, recommendations, and relevance across Viva Engage, leveraging data from our platform and across Office 365.
What makes this role special?
This role presents an opportunity to create a vision around the Viva Engage machine learning platform, and help us make it a reality. Our tight-knit, high performing team, coupled with the unique challenges posed by social enterprise analytics, will offer plenty of opportunities for impact.
Location: This team is primarily based in Mountain View, CA and Redmond, WA.
By applying to this U.S. based position, while remote work is possible, relocation does not apply/is not provided for the role.
Qualifications:
Required/Minimum Qualifications:
- Bachelor’s Degree in Data Science , Mathematics, Statistics, Economics, Computer Science, or related field AND 4+ years data-science experience
- OR Master’s Degree in Data Science , Mathematics, Statistics, Economics, Computer Science, or related field AND 3+ years data-science experience
- OR Doctorate in Data Science, Mathematics, Statistics, Economics, Computer Science, or related field AND 1+ year(s) data-science experience
- OR equivalent experience.
- 3+ years experience with software design skills using Go, Python, and/or Java
- 3+ years of experience in one or more of the following areas: machine learning, recommendation system, search ranking, or data mining
- 1+ years experience working with large amounts of data and translating insights into business recommendations
Preferred Qualifications:
- Masters or Doctorate Degree
- 5+ years work experience doing quantitative analysis.
- 1+ year(s) experience developing and deploying live production systems, as part of a product team.
- 1+ year(s) experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
- Industry experience in the social networking space.
- Applied experience with machine learning on large datasets.
- Experience building recommender systems used in production at scale.
- Demonstrated customer focus, drive for results, self-motivation, and a propensity foraction.
Applied Sciences 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
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form .
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Responsibilities:
- Build and iterate on machine learning models to power recommendations for the Viva Engage Feed.
- Work with large, complex data sets, solving difficult, non-routine analysis problems with advanced analytical methods.
- Utilize Large Language Models (LLMs) for advanced text analysis and natural language understanding tasks, enabling deeper connections and knowledge sharing across organizations.
- Leverage generative AI (Artificial Intelligence) techniques to enhance data augmentation and predictive capabilities, further improving recommendations and personalized user experiences.
- Develop deep product intuition to influence future product roadmaps and drive decision making.
- Collaborate with product and engineering to craft experiments and test hypotheses.
- Use communication skills to distill complex technical work for audiences of all levels and across multiple functional areas.
- Navigate complex situations and influence across multiple product areas by leveraging leadership acumen.
In this role/team you will have:
- Autonomy and freedom to innovate
- Choice of the best of open source and Microsoft-internal technology
- The ability to experiment, A/B test, and make data-driven decisions
- An opportunity for outsized impact as part of a small but mighty team on a rapidly-growing product needed now more than ever