Sr. Staff Data Scientist, DSP

Job Description

• You will be responsible for leading one or more data science efforts for one of the biggest performance DSPs in the world. This involves project ideation and conceptualization, solution design, measurement and solution iteration, coaching, deployment and post-deployment management. • This will also include designing, development, testing of product experiments. You will need to guide junior members of the team in practical experiments, product design, model development and model evaluation. It is vital to be agile and iterate fast across experiment to deliver go-to-market ready products. • You are expected to be a hands-on part of the role where you will also actively analyze data, design and develop models, and problem-solve solutions with the rest of the team. • Additionally, stakeholder management is needed. It will involve being the interface with internal stakeholders such as our Product, Engineering, Data, Infrastructure, and Business teams. • Our team strives for thought leadership in the sector. We encourage and support all team members to write blogs, commentary and case studies published on the InMobi blog. We also support team members across our MLAI team to speak at industry conferences and represent InMobi’s work. • You will learn how to design and build models for specific business problems. Even before that, you will be responsible for identifying the problem areas where AI can be applied to best business impact. You will learn to start a model design by anchoring it in the business context and end user needs. You will learn how to connect model impact with real and measurable business impact. • You will work in a multi-functional team environment. You will collaborate and benefit from the skills of a diverse group of individuals from teams such as engineering, product, business, campaign management, and creative development. • You will have the opportunity to experiment with multiple algorithms. Enduring learning comes from building, launching, and reviewing the performance of a particular algorithm; from asking why something worked or why it did not work; from asking how to tailor techniques to fit the problem at hand. We have an environment that makes this possible at speed. • Importantly, you will learn to become creative in designing models to be successful. Model design is not one-size-fits-all. Our models need to fit our particular problems and be modified to perform. Tougher problems require layers of models, and feedback mechanisms in a dynamic environment such as ours. • We are a company that innovates and demonstrates our thought leadership to the world, whether in products, research papers or conferences – there are many opportunities for you to shine.

Qualifications

• 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 additional experience. PhD a plus. • 10+ years of ad tech related industry experience working in Data Science teams. You would have applied algorithms and techniques such as NLP, Reinforcement Learning, Time Series, etc. from Machine Learning, Deep Learning, and Statistics or other domains in solving real world problems and understand the practical issues of using these algorithms especially on large datasets. • Comfortable with software programming and statistical platforms such as R, Python etc. • Comfortable with the big data ecosystem and Apache Spark. Familiarity with Microsoft Azure, AWS, or Google Cloud/Vertex AI will be a bonus. • Comfortable collaborating with cross-functional teams. • Familiarity with challenges of the identity-less world, particularly for iOS and Android • Excellent technical and business communication skills and should know how to present technical ideas in a simple manner to business counterparts. • Possess a high degree of curiosity and ability to rapidly learn new subjects

Benefits

• Competitive salary and RSU grant (where applicable) • High quality medical, dental, and vision insurance (including company-matched HSA) • 401(k) company match • Generous combination of vacation time, sick days, special occasion time, and company-wide holidays • Substantial maternity and paternity leave benefits and compassionate work environment • Flexible working hours to suit everyone • Wellness stipend for a healthier you! • Free lunch provided in our offices daily • Pet friendly work environment and robust pet insurance policy - because we love our animals! • LinkedIn Learning on demand for personal and professional development • Employee Assistance Program (EAP)