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الوصف الوظيفي

Our Story


Building a new company in the recession of 2007 was no ordinary task. Yet with passion and foresight, we charted our course, helping to transform the way consumers engage with their phones.


Over the last 17 years, InMobi has built a global Advertising Platform that powers our customers’ growth by helping them engage their audiences and drive real connections.


InMobi has also built a second unicorn, Glance, which is advancing digital consumption and creating a new wave of disruption. Present on 400M devices across India, SEA, Japan and the US – Glance is one of the largest content platforms globally with~200M daily active users.



About InMobi DSP 


InMobi DSP aims to be the world’s most customer-centric mobile performance advertising platform. The core offering is the ability to own performance KPIs for a direct advertiser or agency, while providing full-funnel transparency into media, inventory sources, clicks, and impressions. The incumbent will be the resident trading expert and will help accelerate InMobi DSP’s growth in the broad proposition called “performance advertising”, covering mid to lower funnel campaigns, and by bringing in product, operations and business expertise in all of InMobi operating markets, with a focus on North America and Asia. 


Who you are: 


You are passionate about the Technology, Startups, and the AdTech industry. You have the drive and tenacity to get the job done and build scalable businesses. You love building ideas from scratch and leverage data for decision making. You have experience of working in an extremely fast paced and fluid environment where ideas can be obsolete within 6 months or less. 


Manager - Operation Data Science, Responsibilities:


As a ODS, you will have mastered campaign management skills and learn to apply to the company technology stack, understanding how to plan, create, and optimize Programmatic strategy. ODS consult with multiple stakeholders to ensure optimal campaign performance, participate in analytics and product testing efforts, and lead internal and client-focused research efforts to develop new best practices and cultivate industry thought leadership.


Roles and responsibilities: 


  • Work with the product and DS teams to understand the models and technical aspects of the product in detail and ensure that these are being leveraged operationally on every account 
  • Translate the day-to-day operational execution at an account level to transferable insights for product 
  • Combine data analysis, technical expertise, and client feedback to create optimization strategies and provide solutions for complex campaigns to meet client objectives
  • Create the new playbook for trading and ensure training and ramp up of the existing trading team to the new playbook 
  • Help analyze accounts at a level of depth that is much higher than what is expected of an average trader 
  • Work with traders to implement campaigns, evaluate performance and optimize across dimensions
  • Work closely with internal teams to facilitate feedback from research and testing to better their product sets and supporting Trading collateral and training.
  • Act as a participant and leader in regular knowledge share sessions to support organizational education initiatives and nurture innovation, optimization, and integration strategies
  • Stay current on platform features and techniques for activating, measuring, and optimizing media programs
  • Collaborate with platform, inventory, and data partners to develop, activate and optimize targeted programs
  • Troubleshoot issues on all pre-production and live campaigns Oversee campaign set-up of programmatic buys in DSPs
  • Oversee campaign QA process Support the development of process standards and train team members on the how and why

Requirements:


  • 7+ years of experience with DSP platforms
  • Very deep analytically with a product / DS experience and bend of mind 
  • Ability to interpret campaign performance with regards to programmatic variables, and implement informed optimizations to achieve CPA, ROAS, or awareness goals
  • Excellent communication skills, with ability to present analysis results effectively across stakeholders with or without making it complicated
  • Proficiency in R, Python, SAS, Stata, MATLAB, SQL etc. is mandatory with 5+ years of experience
  • High level of problem solving skills and articulating the problems into product requirements supporting with data.
  • Strong knowledge in hypothesis testing, experimental design, and statistical analysis like time-series analysis or regression with good amount of experience.
  • BA/BS/BTech degree in Statistics, Engineering, Mathematics, or any other equivalent quantitative-heavy major
  • Willingness to teach others and continuously learning new techniques/ technologies
  • Self directed and highly curious
  •  

Why Join Us? 


You will contribute to creating disruptive and innovative consumer experiences using technology. We value autonomy, collaboration, technical innovation, and results-oriented thinking. InMobi’s culture is all about rewarding excellence so there are fantastic opportunities for the right candidates! 


#LI-Onsite


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 of 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 and we make reasonable accommodations for qualified individuals with disabilities.


Visit https://www.inmobi.com/company/careers to better understand our benefits, values and more!



تفاصيل الوظيفة

منطقة الوظيفة
بنغالورو الهند
قطاع الشركة
خدمات الدعم التجاري الأخرى
طبيعة عمل الشركة
غير محدد
نوع التوظيف
غير محدد
الراتب الشهري
غير محدد
عدد الوظائف الشاغرة
غير محدد

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