Staff Data Scientist - Ad Optimization

February 18

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Branch

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Branch is a mobile growth company that provides a comprehensive growth platform designed to maximize the value of digital strategies. Their services focus on improving customer engagement, optimizing advertising performance through sophisticated attribution, and ensuring compliance with data protection regulations. Serving over 100,000 companies from startups to Fortune 500 brands, Branch helps businesses create seamless user experiences across various channels, drive conversions, and achieve significant growth in mobile apps and engagement metrics.

Deep Linking • Mobile Analytics • Mobile Referral • Mobile Install Attribution • Mobile Growth

501 - 1000 employees

Founded 2014

🔌 API

🤝 B2B

☁️ SaaS

📋 Description

• Develop and refine data-driven ad optimization strategies tailored to native Android environments, focusing on user engagement, personalization, and revenue uplift. • Design, implement, and improve predictive models for ad targeting, recommendation, and bidding strategies using cutting-edge machine learning and statistical techniques. • Lead the design and analysis of experiments to test ad placements, formats, and targeting methods. Use data from A/B tests and multivariate testing to validate hypotheses and inform decisions. • Analyze user behavior patterns to understand engagement and dropout points, leveraging insights to optimize ad positioning, timing, and relevance. • Partner with product managers, engineers, designers, and marketing teams to align ad strategies with business objectives and user experience goals. Communicate insights and recommendations effectively to both technical and non-technical stakeholders. • Ensure the scalability of ad models across a wide range of Android devices and varying network conditions. Work closely with engineering teams to deploy and monitor models in a production environment. • Provide mentorship and guidance to junior data scientists, fostering a collaborative and innovative team environment. Lead by example in developing high-quality, scalable solutions for complex ad optimization challenges.

🎯 Requirements

• PhD (preferred) or Master's Degree (required) in Computer Science, Data Science, Statistics, Machine Learning, or a related field. • 8+ years of experience in data science or machine learning, with a strong focus on ad technology or user experience optimization. • Demonstrable experience in working with ad serving, ad tech stacks, and optimization techniques, especially within Android or mobile ecosystems. • Expertise in machine learning frameworks (TensorFlow, PyTorch, or similar). • Advanced proficiency in Python, or Kotlin. • Experience with data processing and pipeline tools (e.g., Spark, Hadoop, Airflow). • Deep understanding of A/B testing, causal inference, and other experimentation methods. • Familiarity with ad tech, programmatic advertising, and user behavior metrics, particularly in the context of mobile and Android platforms. • Excellent analytical, problem-solving, and communication skills. Proven ability to articulate complex data science concepts to stakeholders across different domains.

🏖️ Benefits

• Comprehensive benefits package. • Health and wellness programs. • Paid time off. • Retirement planning options.