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We are looking for an experienced manager who can bring deep applied science expertise and a proven track record of shipping at-scale AI-enabled intelligent user-facing experiences to drive vision and execution for Microsoft 365 AI.
As an Applied Science Manager in MSAI you would work in an exciting and fast-paced environment, collaborating closely with teams across the company, including Research, Turing and various product groups. You will work as part of an organization that brings together talent in the areas of large language models, deep learning, information retrieval, software engineering, and responsible AI. We value and encourage diversity in the belief that it leads to both great workplaces and great products.
Responsibilities:
Manage an innovative applied science team in the area of Large Language Models, Artificial Intelligence, Machine Learning and Deep Learning.
Technical leadership in an applied science team in the area of Large Language Models, Natural Language Processing, Machine Learning and Deep Learning.
Develop and deploy conversational and language understanding models at scale.
Push the boundaries of AI platforms through innovation and partnership.
Following and advancing best practices for Responsible AI and Privacy Preserving Machine Learning.
Support hiring, coaching, mentoring and career development of Applied Scientists to build an inclusive and ambitious applied science team.
Collaborate closely with our Research, Turing, AI platform teams, and product teams to create the next generation of AI innovation in our products and services.
Communicate internally and externally through publication, presentations, and other media (e.g., blogs, press interviews) on research progress, major breakthroughs, and product innovation.

We are looking for a skilled Data Analyst with expertise in utilizing BigQuery to join our dynamic team.
The ideal candidate will possess a strong foundation in data analysis, a deep understanding of SQL and BigQuery, and an advantage would be a background in the travel accommodation sector.
You will be responsible for extracting, interpreting, and presenting actionable insights from vast datasets to drive informed business decisions.
RESPONSIBILITIES:
Data Extraction and Manipulation: Retrieve, clean, and preprocess large datasets using BigQuery and other relevant tools to ensure data accuracy and reliability.
Analysis and Visualization: Perform comprehensive analysis on complex datasets to identify trends, patterns, and opportunities. Develop visually appealing and insightful reports or dashboards to present findings to stakeholders.
Insights and Recommendations: Translate data-driven insights into actionable recommendations, contributing to strategic decision-making processes to enhance business performance.
Collaboration: Work closely with cross-functional teams including marketing, operations, and finance to understand data needs, provide analytical support, and offer data-driven solutions.
Continuous Improvement: Proactively identify opportunities to improve data collection processes, reporting techniques, and analytical frameworks to optimize efficiency and accuracy.

We are looking for highly motivated candidates with a passion for analytics and product development. If you are organized, understand the mathematical tools underlying analytics, and are a fast learner, we would love to hear from you. Join us in driving the future of search traffic monetization products.
Key Responsibilities:
Collaborate closely with the product management team to define product strategy and roadmap.
Conduct detailed product analysis, including market trends, competitor analysis, and customer behavior.
Develop and maintain complex data models to inform product decisions.
Use statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
Present analytical findings to the product team and executive leadership in a clear and actionable way.
Participate in the entire product lifecycle, from inception to launch and growth.

We are looking for a Game Economy Manager to join our team. In this role, you will be responsible for designing and controlling the game economy systems for one of our top-grossing mobile games.

Responsibilities:
Work closely with product & monetization teams to design and implement new game content, features, and live ops.
Model and balance complex systems in the game, to maintain a healthy and growing game economy.
Monitor, tune, and price the game features and in-app purchases for driving player engagement and optimizing different KPIs.
Balance customer experience and revenue opportunity for in-game currency and virtual goods.
Perform data analysis, A/B testing, and advanced modelling for game systems and player experiences.

We are looking for a Game Economy Manager to join our team. In this role, you will be responsible for designing and controlling the game economy systems for one of our top-grossing mobile games.

Responsibilities:
Work closely with product & monetization teams to design and implement new game content, features, and live ops
Model and balance complex systems in the game, to maintain a healthy and growing game economy
Monitor, tune, and price the game features and in-app purchases for driving player engagement and optimizing different KPIs
Balance customer experience and revenue opportunity for in-game currency and virtual goods.
Perform data analysis, A/B testing, and advanced modelling for game systems and player experiences

we are looking for a Senior BI Engineer to create and manage end-to-end BI and analytics solutions that turn data into knowledge and to help us make better decisions.
We are looking for an all-around player that can communicate with both R&D and business stakeholders and own the entire BI process. In this position you will mostly develop and maintain the data pipe-line and ETLs but will also be required to support and development dashboards and other user interfaces such as automated reports and business alerts as part of various data solutions for the company.
If you are a SQL expert whos also highly skilled in data analysis, visualization, complex data processes, you have 2+ years experience in BI engineering, preferably from a media company, youre an excellent communicator with the ability to deliver end-to-end solutions that make an impact your place is with us!
Responsibilities:
Translate business needs to technical specifications.
Design, develop and deploy data solutions.
Maintain and support data analytics platforms.
Evaluate and improve existing BI systems.
Collaborate with teams to integrate systems.
Perform data analysis and exploration of high-volume and often messy data.
Tackle business challenges from end to end and take responsibility for the entire cycle from data infrastructure through analysis and reporting to full working automated data solutions.