Data Scientist II (AI/ML)

TL;DR

Data Scientist II (AI/ML): Driving product analytics, system observability, and identifying revenue growth opportunities for Microsoft Advertising User Event Analytics teams with an accent on statistical and quantitative analysis to gain meaningful insights. Focus on explaining product KPI behavior, improving system reporting, and finding opportunities for revenue and metric improvements.

Location: Bengaluru, India

Company

hirify.global drives innovation in online advertising, combining information retrieval, data mining, machine learning, and statistical modeling to optimize operations and identify revenue growth.

What you will do

• Run analysis to explain product KPI behavior.
• Improve dashboards and reporting systems.
• Conduct exploratory analysis to validate data hypotheses.
• Improve system logging in production code.
• Identify opportunities for revenue and metric improvements.

Requirements

• 4+ years of relevant experience (flexible for exceptional candidates).
• 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.
• Knowledge in Machine Learning, Quantitative Analysis, Big Data Analytics, Regression Modeling, Predictive Modeling, 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.

Culture & Benefits

• Work in a collaborative team with a growth mindset.
• Opportunity to tackle complex problems in computational advertising.
• Equal opportunity employer with support for accommodations.