Staff Applied Scientist I

About the role

Join a high-speed environment where machine learning models are deployed and tested in real-time. You will work alongside engineering teams to solve complex problems within the advertising technology space, focusing on measurable business outcomes.

Key facts

What you'll do

• Lead data science initiatives for the InMobi DSP, covering the entire lifecycle from ideation and design to deployment and post-launch management.
• Develop, test, and execute product experiments while remaining hands-on with data analysis and model building.
• Act as the primary technical interface for internal product, engineering, data, infrastructure, and business stakeholders.
• Contribute to the company's thought leadership by publishing blogs, case studies, and presenting at industry conferences.
• Identify new areas where artificial intelligence can drive significant business impact and translate business needs into technical model designs.

Requirements

• Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Electrical Engineering, Operations Research, Economics, or Data Science. Alternatively, a Bachelor's degree from a top-tier institution with equivalent professional experience.
• 7-10 years of experience in a quantitative role, specifically involving model construction and validation.
• Proficiency in software programming and statistical platforms including Python and R.
• Expertise in the big data ecosystem, particularly Apache Spark.
• Ability to communicate technical concepts clearly to non-technical business partners.
• Knowledge of the challenges associated with an identity-less ecosystem, specifically regarding Android and iOS.
• Proven ability to collaborate effectively within cross-functional teams.

Nice to have

• Prior experience in the Ad Tech industry.
• Familiarity with cloud platforms such as Microsoft Azure, AWS, or Google Cloud/Vertex AI.

Skills & tools

• Machine Learning, Deep Learning, Statistics, Probability Theory, Algorithms.
• Python, R, Apache Spark.
• Data visualization tools.

Practical notes

• InMobi supports career growth through the Live Your Potential program.
• The company is an Equal Employment Opportunity employer.