Senior Applied Data Scientist
Job Summary
Job Description
- PhD or Master's in relevant field with experience
- Experience with LLMs, SLMs, and RAG models
- Information retrieval and deep learning expertise
- Develop and deploy AI solutions
- Collaborate with multidisciplinary teams
- 3+ years publishing research or presenting at conferences
- Experience in production environments
- Cloud-based infrastructure and big data experience
- Industry leading healthcare
- Educational resources
- Discounts on products and services
- Savings and investments
- Maternity and paternity leave
- Generous time away
- Giving programs
- Networking opportunities
4 skills required
Job Details
Overview
Are you passionate about leveraging cutting-edge AI technologies to solve complex, real-world challenges? Join the Bing Places Conflation team, where we build innovative solutions to improve search relevance, enhance user experiences, and enable businesses to thrive. As a Senior Applied Data Scientist, you will use Large Language Models (LLMs), Small Language Models (SLMs), and Retrieval-Augmented Generation (RAG) models to create modern, scalable, and efficient systems. You'll collaborate with a dynamic, research-driven team that values curiosity, creativity, and a growth mindset.
In this role, you will design and implement advanced AI solutions, staying at the forefront of the latest research in machine learning and natural language processing. You’ll have the opportunity to accelerate your career by working with industry leaders, refining your expertise in applied sciences, and contributing to impactful, customer-centric projects. Our team supports flexible work arrangements, with options for hybrid or remote work, so you can achieve the work-life balance you deserve.
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.
Qualifications
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.
- Experience in Information retrieval and Deep Learning
- Experience in Large Language Models (LLM) and Retrieval Augmented Generation (RAG)
Preferred Qualifications:
- 3+ years of experience in publishing peer-reviewed research or presenting at conferences.
- Proven expertise in developing and deploying AI solutions in production environments.
- Experience working with cloud-based infrastructure and big data technologies.
Data Science IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 $153,600 - $250,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
Microsoft will accept applications for the role until February 3, 2025
#Bing #MicrosoftAI #search #bingplaces #conflation #LLM #genai # datascience #ml #nlp
Responsibilities
- Develop and deploy solutions leveraging LLMs, SLMs, and RAG models to solve complex data conflation challenges and enhance the Bing Places platform.
- Stay informed about the latest advancements in AI/ML research, evaluate their applicability, and integrate them into scalable systems.
- Collaborate across multidisciplinary teams, including engineers, data scientists, and product managers, to translate research insights into actionable solutions.
- Create robust pipelines for data processing, training, and inferencing to optimize model performance and scalability.
- Mentor team members, foster knowledge sharing, and support recruiting efforts to build a world-class research team.
- Uphold ethical principles in AI, ensuring solutions are fair, unbiased, and aligned with Microsoft’s privacy standards.
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