Data and Applied Scientist Ii

The Bing Fundamentals Organization at Microsoft drives innovation by creating engaging search experiences. The Related Searches team within this organization improves user experience with query suggestions that simplify searches, offering helpful reformulations and recommendations to complete tasks faster and explore relevant topics, boosting Bing retention. Additionally, the team has developed and continues to improve the Topic Exploration feature, an interactive card on the right pane like Knowledge graph cards, that lets users explore related topics via Questions and Answers and a carousel of URL links. The Related Searches team leverages large language models (LLM’s) and other state of the art technologies in NLP/deep learning to delight millions of users every day. If you are excited and passionate about building next generation recommendation systems leveraging LLM’s and creating substantial impact for millions of users, Bing Related Searches team is the right choice for you.

We are a team of engineers, scientists, and program managers who come from different backgrounds and experiences, and we share a common vision of making the world smarter and more productive. We think that inclusive teams of individuals who care about customers and trust each other are the key to building great products. We work together across the company to find the technology breakthroughs from groups like Microsoft Research and to bring AI into other Microsoft products.

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**:

- Developing novel machine learning and data mining algorithms.
- Designing and developing solutions that respond in real time.
- Build data quality checks and re-usable modules for the training.
- Host ML models with production-ready code and integrating them with production pipelines.
- Designing and executing offline/online experiments. Advancing the state of the art of NLP technologies for real world scenarios.
- Investigating and solving NLP accuracy and robustness issues across all processing chains, including model development, test and quality control, deployment, and user feedback stages.
- Evaluating product impact via controlled statistical experiments and iterating on technique to deliver maximum business impact.

**Qualifications**:
**Required Qualifications**:

- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
- OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
- OR equivalent experience.
- 2+ years of hands-on experience with ML/NLP frameworks like PyTorch, Tensorflow, ONNX and HuggingFace.
- Experience with data mining and analysis using Big Data platforms like Spark, MapReduce, Hadoop etc.
- Experience with software design and development.

**Additional or Preferred Qualifications**:

- Research and/or development experience with machine learning, NLP and data mining.
- Experience in architecting, developing, and delivering advanced NLP projects.
- Customer focused mindset, strategic, drives for results, is self-motivated, and has a propensity for action.
- Proven track record on shipping products/services with high quality.

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