At a glance
- Experience
- 2-3 years experience
- Location
- Bangalore
About the role
- InMobi is looking for a Staff Applied Science Manager to lead and grow a team of talented data scientists who directly impact company metrics.
- The role combines deep technical credibility with strong people leadership in a fast-paced model-learning environment.
- You will build and mentor a high-performing team, set technical direction, and drive disciplined program execution across multiple concurrent workstreams.
Responsibilities
- Lead and grow a team of data scientists working on one or more data science efforts for InMobi DSP, spanning project ideation, conceptualization, solution design, measurement, iteration, coaching, deployment, and post-deployment management.
- Own program execution across your team's portfolio by defining roadmaps, sequencing priorities, managing dependencies and risks, and ensuring on-time, high-quality delivery.
- Manage, mentor, and develop data scientists through goal-setting, regular feedback, career support, and building technical talent.
- Remain hands-on where it matters to guide the design, development, and testing of product experiments, unblock your team, and make sound technical calls.
- Drive stakeholder management as the interface with internal stakeholders such as Product, Engineering, Data, Infrastructure, and Business teams.
- Champion thought leadership for the team by encouraging writing blogs, commentary, and case studies, and speaking at industry conferences.
- Help your team connect model design to business context and end-user needs, tying model impact to measurable business outcomes.
- Foster a multi-functional collaboration model with engineering, product, business, campaign management, and creative development teams.
- Create space for your team to experiment with multiple algorithms, review performance, ask why, and adapt techniques to fit the problem.
- Represent your team's contributions in company innovation efforts through products, research papers, and conferences.
Requirements
- Master's in a quantitative field such as Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research, Economics, Analytics, or Data Science, or a Bachelor's from a reputed college with additional relevant experience.
- 10-14 years of work experience in a quantitative field, including model building and validation experience, with at least 2-3 years in a people management or team leadership capacity.
- Proven experience managing programs or portfolios of data science initiatives, setting roadmaps, prioritizing across competing demands, tracking milestones, and driving delivery.
- Comfortable with software programming and statistical platforms such as R and Python, including visualization tools.
- Comfortable with the big data ecosystem and Apache Spark.
- Strong track record of hiring, coaching, and retaining data science talent, and fostering a culture of curiosity, rigor, and accountability.
- Excellent technical and business communication skills to present technical ideas simply to business counterparts and senior stakeholders.
- High degree of curiosity, sound judgment in prioritization, and ability to rapidly learn new areas.
Preferred qualifications
- Ad tech related industry experience
- Familiarity with Microsoft Azure, AWS, or Google Cloud/Vertex AI
- Familiarity with the challenges of the identity-less world, particularly for iOS and Android
Skills
- Python
- Apache Spark
- R
- Machine Learning
- Deep Learning
- Statistics
- Microsoft Azure
- AWS
- Google Cloud
- Vertex AI
