TL;DR
Data Scientist II (Machine Learning): Driving product analytics, system observability, and identifying revenue growth opportunities within online advertising using big data. Focus on running exploratory analysis, improving system logging, and finding opportunities for revenue and metric improvements.
Location: Onsite in Bengaluru, India
Company
hirify.global operates within the online advertising domain, leveraging computational advertising to optimize ad platforms and identify revenue opportunities.
What you will do
- Run analysis to explain the behavior of product KPIs.
- Improve dashboards and reporting of the system.
- Conduct exploratory analysis to prove/disprove data hypotheses.
- Improve system logging in the production code.
- Find opportunities for improvements in revenue and other system metrics.
Requirements
- 4+ years of relevant experience is expected.
- Bachelor’s or master’s degree in engineering with a strong emphasis on data analytics.
- Knowledge of at least one programming language: C, C++, C#, or Java.
- Knowledge of Python and/or R for general coding and data analysis.
- Experience in Machine Learning, Quantitative Analysis, Big Data Analytics, Business Analytics, Regression Modelling, Predictive Modelling, and Analytical Decision-Making.
- Good verbal and written communication skills.
Nice to have
- 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 to AI/ML concepts and practical application of AI tools to solve modern engineering challenges.
Culture & Benefits
- Microsoft is an equal opportunity employer.
- All qualified applicants will receive consideration for employment without regard to various protected characteristics.
- Assistance with religious accommodations and/or reasonable accommodation due to a disability is available during the application process.
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