InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact.
Through Glance AI, we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home décor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi’s global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide.
Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company’s Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond.
At InMobi Advertising, you’ll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit www.inmobi.com
Why you should join us?
At our core, we believe in the power of data to drive smarter decisions and transform operations. As an Operational Data Scientist, you'll be at the forefront of this mission—leading initiatives that streamline business processes, accelerate time to insight, and align analytics with strategic goals.
You'll work in an environment that values rigor in experimental design, seamless model integration, and impactful operational analytics. We’re not just looking for technical talent—we want a strategic thinker and a collaborative leader who thrives at the intersection of data, business, and execution.
If you're passionate about solving complex problems, influencing high-stakes decisions, and driving measurable outcomes, this is the opportunity to make your mark. Join us and be part of a team that turns data into action—and action into impact.
What will you be doing?
1. Experiment Design and Interpretation:
- Lead and design complex experiments, addressing challenges with statistical rigor.
- Interpret results and provide actionable insights to drive business decisions.
2. Data Engineering Workflow and Design:
- Partner with stakeholders to ensure data systems and structures are efficient and reliable.
- Reduce turnaround time (TAT) for analytics, feature exploration, and experimentation setup
3. Data Science Model Integration:
- Collaborate with data science teams to integrate models into workflows.
- Define success metrics, identify inefficiencies, and leverage model outputs to enhance operations.
4. Proactive and Reactive Analysis:
- Conduct exploratory data analysis, simulations, and hypothesis testing.
- Provide strategic support and actionable insights to address business challenges.
5. Health Metrics Design and Implementation:
- Define, implement, and monitor key performance metrics to assess platform performance and user behavior.
6. Leadership and Collaboration:
- Serve as a liaison between cross-functional teams, advocating for data-driven decisions.
- Mentor analysts and promote a culture of analytics within the organization.
7. Product Impact Tracking:
- Design and implement analyses to monitor product impact.
- Ensure alignment of analytics initiatives with broader business objectives.
What are we looking for?
Skills and Attributes:
- 8–15 years of total professional experience, preferably in Tech, Consulting, or high-scale Analytics organizations.
- 4+ years of people management experience, leading data science, analytics, or operational analytics teams in system-heavy environments.
- Advanced proficiency in SQL and Python — able to drive deep analyses, RCA investigations, and metric instrumentation independently.
- Hands-on experience with Spark or distributed data processing frameworks for scalable analysis.
- Proven ability to design and deploy control systems or feedback loops in collaboration with engineering teams to tune complex algorithms in production.
- Successfully implemented and maintained Data Science models in production, including monitoring and post-deployment tuning.
- Solid foundation in statistical methods, hypothesis testing, and experimental design, especially as applied to system performance and anomaly detection.
- Comfort working with observability and visualization tools — Tableau, Looker, Power BI, or internal metric dashboards like Grafana or Superset.
- Strong record of cross-functional collaboration with engineering, product, SRE, and ML teams to drive system health and platform improvements.
- Demonstrated ability to work through ambiguity, structure diagnostic approaches, and drive data-informed operational decisions.
- Strong strategic and systems thinking mindset — able to reason about interdependent metrics and optimize for system-wide health.
The InMobi Culture
At InMobi, culture isn’t a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences.
We thrive on challenges and seize every opportunity for growth. Our core values — thinking big, being passionate, showing accountability, and taking ownership with freedom — guide us in every decision we make.
We believe in nurturing and investing in your development through continuous learning and career progression with 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.
Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!
Skills Required
- 8-15 years of total professional experience
- 4+ years of people management experience leading data science, analytics, or operational analytics teams
- Advanced proficiency in SQL and Python
- Hands-on experience with Apache Spark or distributed data processing frameworks
- Experience designing and deploying control systems or feedback loops with engineering teams
- Experience implementing and maintaining data science models in production, including monitoring and post-deployment tuning
- Strong foundation in statistical methods, hypothesis testing, and experimental design
- Experience with observability and visualization tools such as Tableau, Looker, Power BI, Grafana, or Superset
- Cross-functional collaboration experience with engineering, product, SRE, and machine learning teams
- Ability to work through ambiguity, structure diagnostic approaches, and drive data-informed operational decisions
- Strategic and systems thinking, including reasoning about interdependent metrics and system-wide health
- Experience in technology, consulting, or high-scale analytics organizations
What We Do
InMobi is the world's leading Marketing Cloud, driving real connections between brands and consumers. We create new paths for brands to understand, identify, engage and acquire consumers by leveraging our exclusive access to mobile intelligence and technology platforms. As a leading technology company founded in 2007, InMobi has been recognized as a 2019 CNBC Disruptor 50 company and as Fast Company's 2018 Most Innovative Companies. For more information, visit inmobi.com Driving Real Connections. InMobi helps brands connect with consumers in ways that matter.
