ABOUT THE PROJECT:
Adoppler is a company founded in 2017, as a product subsidiary of Geomotiv. Since 2018 – an independent business. Adoppler focuses on building and licensing disruptive advertising technology platforms for innovative companies around the world. Adoppler together with Audience Media founded ElementalTV in 2020.
The company’s main product is the Trusted Marketplace technology, a holistic video monetization solution for any platform and device. Our full-stack solution has a complete view of the video, CTV, and OTT inventory. It helps clients to access and to manage direct, programmatic, and third-party partners using built-in tags or OpenRTB-compliant endpoints.
The Trusted Marketplace consists of several high-load web applications, developed using Java 17, Jetty/Netty, Druid, Kafka, Aerospike, PostgreSQL. The production environment is private cloud-based on Proxmox. Deployment is carried out by Jenkins. The client-side is based on Angular 15/React 16, working as SPA.
Our company manages dev processes using Jira, Confluence, Slack, and regular video calls. We prefer to use Git Flow and peer code review in our work.
WHAT YOU’LL BE UP TO:
- Lead project with hands-on analysis and modeling, leveraging data analysis and analytical techniques and methods to solve complex business problems;
- Perform problem domain definition, including data identification and analysis;
- Extract, aggregate, manipulate, categorize, clean, and transform data associated within an identified problem space for use in predictive modeling;
- Perform exploratory data analysis and feature generation;
- Identify patterns and/or anomalies in large datasets;
- Perform automated text/data classification and categorization as well as entity recognition, resolution and extraction;
- Develop algorithms; train, evaluate, and deploy predictive analytics models using machine learning methods.
WHAT YOU’LL NEED TO HAVE:
- 4+ years of experience as a Data Scientist or on a similar role developing and deploying Machine Learning models;
- Expertise in applying mathematical and statistical methods for traffic optimization and other relevant tasks in AdTech;
- Ability to interpret and analyze model results, (e.g. identifying key factors influencing target metrics);
- Experience in selecting and applying appropriate tools and techniques;
- Proficiency in Python and related ML libraries;
- Hands-on experience with big data processing frameworks such as Apache Spark;
- Familiarity with cloud storage systems (e.g., S3, Ceph) and containerization technologies (e.g., Kubernetes);
- Solid understanding of programmatic advertising technologies;
- Knowledge of RTB auction mechanisms and their application in online advertising;
- Strong problem-solving skills and ability to work independently;
- Self-sufficiency and adaptability in dynamic, fast-paced environments.
INTERVIEW STEPS:
- HR interview;
- Technical, behavioral interview with Product Manager.
APPLY NOW