Staff Applied Scientist I

InMobi; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Continuous learning programs

Equal Employment Opportunity employer

Job summary

InMobi is seeking an Applied Scientist in Bengaluru who will lead data science efforts, focusing on AI/ML models that impact business metrics. The ideal candidate brings expertise in Ad Tech and significant experience in model building, analysis, and collaboration across functions.

InMobi fosters a culture of continuous learning and innovation, valuing diverse backgrounds. This role offers the opportunity to work in a fast-paced environment while driving substantial business value through advanced data solutions.

Qualifications

• 7-10 years of work experience in a quantitative field.
• Experience in model building and validation.
• Strong familiarity with AI/ML applications.

Responsibilities

• Lead data science efforts for InMobi DSP.
• Design and test product experiments.
• Analyze data and develop models.

Skills

Ad Tech expertise

AI/ML experience

Statistical programming (Python, R)

Experience with big data technologies (Apache Spark)

Cloud computing familiarity

Education

Master’s in a quantitative field

Tools

Apache Spark

AWS

Microsoft Azure

Google Cloud

Job description

InMobi Advertising is a global technology leader that helps marketers win the moments that matter.

Position Summary

We look for talented Applied Scientists who can roll up their sleeves and have direct impact on our company metrics. The performance of our models and experiments are seen astonishingly quickly – the learning loop is not measured in weeks or days, but hours and minutes. We live in what might be the fastest model‑learning playgrounds in the world. We have built an infrastructure that enables model deployment at both scale and speed. As data scientists, we sit alongside engineering colleagues who enable our models to deploy. Combine this with our growing variable set of hundreds of potential features (and growing!), and this is a highly fertile environment for building, experimenting, refining and achieving real impact from your models.

Who Are You?

• Deep expertise and experience in Ad Tech, AI/ML, and Data Science at scale. Familiarity with big data processing and cloud computing is critical.
• Mathematical aptitude in Statistics, Probability Theory, Algorithms, Foundations of Machine Learning, and competence with data science languages and tools such as Python or Apache Spark to design scalable solutions, run proof‑of‑concepts, and evaluate offline and online.
• Passion to investigate and learn from data, ask provocative questions, and drive real models into production that create business value.
• Open to diverse academic backgrounds—engineers, mathematicians, computer scientists, physicists, economists, and social scientists can thrive here.

Required

• Master’s in a quantitative field such as Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research or Economics, Analytics, Data Science, or Bachelor’s with significant experience.
• 7‑10 years of work experience in a quantitative field, including model building and validation.
• Ad tech related industry experience is a plus: applied ML, Deep Learning, Statistics or other domains to solve real‑world problems on large datasets.
• Comfortable with software programming and statistical platforms such as R, Python, and visualization tools.
• Experience with big data ecosystem and Apache Spark. Familiarity with Microsoft Azure, AWS, or Google Cloud/Vertex AI is a bonus.
• Ability to collaborate with cross‑functional teams.
• Familiarity with the identity‑less world challenges, particularly for iOS and Android.
• Excellent technical and business communication skills – present technical ideas clearly to business counterparts.
• High curiosity and rapid learning ability.

What will you do?

• Lead one or more data science efforts for InMobi DSP, including project ideation, solution design, measurement, iteration, coaching, deployment and post‑deployment management.
• Design, develop and test product experiments.
• Hands‑on data analysis, model design, development, and problem solving with the team.
• Stakeholder management with Product, Engineering, Data, Infrastructure and Business teams.
• Write blogs, commentary and case studies for the InMobi blog; speak at industry conferences and represent InMobi’s work.
• Identify AI problem areas with high business impact and anchor model design in business context and end‑user needs, linking model impact to measurable business outcomes.
• Collaborate within a multi‑functional team with engineering, product, business, campaign management and creative development.
• Experiment with multiple algorithms, learn from performance reviews, and adapt techniques to fit specific problems.
• Create creative, customised model designs that evolve with dynamic feedback mechanisms in a fast, dynamic environment.
• Take opportunities to showcase innovations through products, research papers or conferences.

The InMobi Culture

At InMobi, culture isn’t a buzzword; it’s an ethos woven by every InMobian, reflecting diverse backgrounds and experiences.

We thrive on challenges, seize every growth opportunity, and live by core values: thinking big, being passionate, showing accountability, and taking ownership with freedom.

We invest in continuous learning and career progression through our InMobi Live Your Potential program.

InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace.