Data Scientist IV, SSP

The job overview for the position of Data Scientist IV, SSP at InMobi is as follows: This role involves leading the data science efforts for one of the largest in-app programmatic exchanges in the world. The responsibilities include project ideation, solution design, measurement and iteration, coaching, deployment, and post-deployment management. The data scientist will also be involved in designing and developing models, analyzing data, and problem-solving with the team. Stakeholder management and thought leadership in the sector are also important aspects of this role.

• Lead the data science efforts for one of the biggest in-app programmatic exchange in the world
• Project ideation and conceptualization
• Solution design, measurement, and solution iteration
• Coaching, deployment, and post-deployment management
• Design, development, and testing of product experiments
• Guide the team in practical experiments, product design, model development, and model evaluation
• Analyze data, design and develop models, and problem-solve solutions
• Stakeholder management with internal teams such as Product, Engineering, Data, Infrastructure, and Business
• Thought leadership in the sector, including writing blogs, commentary, and case studies
• Represent InMobi's work at industry conferences
• Design and build models for specific business problems
• Identify problem areas where AI can be applied for business impact
• Connect model impact with real and measurable business impact
• Collaborate with a diverse group of individuals from engineering, product, business, campaign management, and creative development teams
• Experiment with multiple algorithms and review their performance
• Design models to fit specific problems and modify them for performance
• Innovate and demonstrate thought leadership in products, research papers, and conferences

Master’s in a quantitative field such as Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research or Economics, Analytics, Data Science.

10+ years of experience in the Ad Tech industry working in Data Science teams. You would have applied algorithms and techniques from Machine Learning, Statistics, Time Series 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. Experience in Apache Spark will be a bonus.

Comfortable collaborating with cross-functional teams.

Excellent technical and business communication skills and should know how to present technical ideas in a simple manner to business counterparts.

Experience with Gaming business is a big plus

Possess a high degree of curiosity and ability to rapidly learn new subjects and systems.

• Competitive salary and stocks
• Quality medical, vision, dental coverage
• 401(k) match
• Lunch provided in office
• Pet-friendly work environment
• Employee Assistance Program (EAP)
• Flexible working hours
• Parent-friendly health benefits and work environment
• Wellness stipend
• Generous time off through a combination of PTO, sick days, and company-wide holidays
• Post-COVID hybrid work model (2-3 days in office) for employees near certain office locations (New York, San Mateo, and Kansas City)
• Equal opportunity employer with a commitment to diversity and inclusion
• Mandatory COVID vaccination policy with exemption options for eligible employees.