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Data & Applied Scientist II

Telangana, India (On-site)

Data & Applied Scientist II

1 Week ago • 1-5 Years • Data Analyst

About the job

9 skills required for this role

Add these skills to join the top 1% applicants for this job

algorithms

spark

deep-learning

nosql

python

sql

data-science

hadoop

Job Description

The Bing Auto Suggest team is hiring a Data & Applied Scientist II to build the next generation of intelligent experiences. Responsibilities include mining large datasets using technologies like Cosmos, Hadoop, or Spark; working on various aspects of Generative AI, including prompting and fine-tuning; transforming data into innovative features; building and productionizing ML/DL models; prototyping new approaches using NLP, ML, and DL techniques; developing code (C#, Python, & SQL) to productionize ML techniques; and self-learning new techniques. The ideal candidate will have experience with customer-facing projects and possess excellent communication skills. The role involves impacting millions of users globally and requires a strong commitment to engineering excellence and delivering quality at scale.

Must have:

Doctorate or Master's/Bachelor's with experience in Data Science
1+ years customer-facing experience
Experience with large datasets (Cosmos, Hadoop, Spark)
ML/DL model building and productionization
Proficiency in Python/R and SQL/NoSQL
NLP, ML, and DL techniques

Good to have:

3+ years experience in data science, ML, IR, or NLP
Generative AI experience (prompting, fine-tuning)

Perks:

Industry leading healthcare
Educational resources
Discounts on products and services
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Networking opportunities

Overview

Do you want to work on a product which touches and transforms the lives of billions of people across the globe? Are you eager to build and deploy cutting-edge deep learning models, and take charge of the entire process from inception to execution, impacting millions of users globally? Are you someone who is passionate about bringing customer obsession and engineering craftsmanship into the product you build?

The Bing Auto Suggest team is hiring an Data & Applied Scientist II who can help us build the next generation of intelligent experiences that would delight our customers.

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
- OR Master's Degree 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 tec
- OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical tec
- OR equivalent experience.
1+ year(s) customer-facing, project-delivery experience, professional services, and/or consulting experience.

Preferred Qualifications:

3+ years of experience in the areas of data science, machine learning, information retrieval or natural language processing.
Proficiency and demonstrable skills using statistical or machine learning programming languages and packages (Python/R etc.).
Demonstrable skills and experience using SQL or NoSQL data stores.
Excellent verbal and written communication skills.

Responsibilities

Our ideal candidate will:

Have an ability to mine large data sets with Cosmos, Hadoop or Spark like technologies.
Hands on experience working on different aspects of Generative AI including prompting and finetuning.
Transform data into innovative features/signals that can improve a machine-learning task.
Build and productionize ML/DL models and evaluate their quality on real life scenarios.
Prototype new approaches and develop new algorithms using NLP, ML and DL techniques.
Have an ability and willingness to develop code (in C#, Python & SQL) to productionize ML techniques.
Have an ability to self-learn new techniques from textbooks and research papers.
Never compromise on engineering excellence and delivering quality at scale.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Industry leading healthcare

Educational resources

Discounts on products and services

Savings and investments

Maternity and paternity leave

Generous time away

Giving programs

Opportunities to network and connect

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