Senior Data Scientist at Microsoft

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

08 Apr, 26

Salary

0.0

Posted On

08 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Machine Learning, Statistical Modelling, Big Data Analytics, Programming, Quantitative Analysis, Regression Modelling, Predictive Modelling, Analytical Decision-Making, Communication Skills, Software Development, System Observability, Exploratory Analysis, Revenue Growth, Cloud Services, AI Concepts, Collaborative Teamwork

Industry

Software Development

Description

Overview Online advertising is what allows us to enjoy many online services for free, such as search engines, social networks, and music and video streaming platforms. It is also a growing business, as online time increases for more people and more advertisers want to reach them. The field of computational advertising combines information retrieval, data mining, machine learning, statistical modelling, optimization, linear algebra, and microeconomics to tackle the multitude of problems that can arise and to run operations optimally. We are hiring Data Scientists for the Microsoft Advertising Monetize analytics team and Microsoft Advertising Monetize. This team is responsible for driving overall product analytics, system observability, reporting, and identifying revenue growth opportunities. We use big data from different sources, such as advertisers, publishers, system components, and users, to identify connections between anomalies and conduct investigations, diagnosis, and resolution of issues that may impact the performance of the product, as well as to discover new areas of opportunity. For this role, we are looking for a strong software developer turned data enthusiast who loves to harness the power of data through statistical and quantitative analysis to gain meaningful insights and make key business decisions. Responsibilities Run analysis to explain behaviour of the products KPIs. Improve dashboards and reporting of the system. Running exploratory analysis to prove / disprove data hypothesis. Improve the system logging in the production code. Finding opportunities for improvements in revenue and other metrics of the system. Strong communication skills and ability to modify presentation as per audience. Qualifications 6+ years of relevant experience is expected; however, for exceptional candidates, experience is not a constraint. Bachelor's or master's degree in engineering with a strong emphasis on data analytics; flexibility is available for exceptional candidates. Knowledge of at least one programming language: C, C++, C#, or Java. Knowledge of Python and/or R for general coding as well as data analysis is highly valued. Knowledge in some of the following areas: Machine Learning, Quantitative Analysis, Big Data Analytics, Business Analytics, Regression Modelling, Predictive Modelling, and Analytical Decision-Making. Good verbal and written communication skills. Strong technical competence and analytical skills. Preferred Qualifications: A collaborative team player with curiosity, a growth mindset, and a strong sense of responsibility Working knowledge of any other cloud service Demonstrated ability to work in collaborative, cross-functional teams, and contribute to high-quality, maintainable codebases. Proven experience in shipping production-quality code in fast-paced environments. Exposure AI/ML concepts and practical application of AI tools to solve modern engineering challenges. #AdsIDCPositions This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

The Senior Data Scientist will run analyses to explain product KPIs and improve dashboards and reporting systems. They will also conduct exploratory analyses to validate data hypotheses and identify revenue improvement opportunities.