Data Scientist

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Kayzen

WebsiteLinkedInAll Job Openings

51 - 200 employees

☁️ SaaS

🤝 B2B

💰 $4M Seed Round on 2020-01

Advertising • SaaS • B2B

Kayzen is a leading mobile programmatic advertising company, specializing in providing in-house mobile bidding technology. Built from the ground up, Kayzen empowers advertisers, app developers, agencies, and media buyers to run programmatic campaigns with full transparency and control over data. With solutions tailored for SKAdNetwork, user acquisition, and retargeting, Kayzen offers advanced optimization strategies and insights. Its platform is known for superior data sharing, privacy, and performance, democratizing mobile programmatic marketing by removing the reliance on traditional "black box" service platforms. Kayzen's SaaS solution allows businesses to customize and control their media buying processes, aiming for higher return on ad spend (ROAS).

📋 Description

• Enhancing Models: Continuously improving existing models by incorporating new features, fine-tuning parameters, and utilizing additional data. • Algorithm Development: Collaborating with our Machine Learning Engineering team to develop and deploy scalable supervised and unsupervised learning algorithms. • Data Exploration: Identifying and exploring new data sources while researching innovative ways to leverage both new and existing data effectively. • Solution Research: Investigating new Machine Learning solutions to optimize every step of our value chain. • A/B Testing: Regularly conducting and evaluating A/B tests to drive insights and refine our strategies.

🎯 Requirements

• At least 3 years of relevant experience in developing data science products, from initial research through to production deployment. • Strong coding skills with a focus on clean, reproducible, and well-tested code. • Proficient in key tools and technologies including Python, Spark, Hadoop, Airflow, Docker, and SQL. • Hands-on experience with algorithms for handling sparse and large datasets, including applications in prediction, clustering, and outlier detection. • Familiarity with Gradient Boosting Trees (CatBoost, LightGBM) in production environments is a plus. • Experience in building neural network-based products for tasks such as classification, regression, and multi-task learning is highly valuable. • Bonus skills: Knowledge of reinforcement learning and large-scale optimization problems is a significant asset. • Good understanding of dashboards and SQL for developing and enhancing monitoring tools. • Previous experience in Ad-Tech is a must.

🏖️ Benefits

• Directly working with Founders and an opportunity to drive direct impact • Exceptional career growth and learning opportunity • A unique opportunity to be part of an experienced team of industry experts and entrepreneurs who bring massive change to the Adtech market • A fun, driven, and multinational team located across Germany, India, Argentina, Canada, Spain, the UK and many more countries. • A flexible work-from-home arrangement • Opportunity to relocate to our office in Berlin • A 500-dollar home-office setup budget • A 1000-dollar annual learning and development budget