V Patrol - Data Science Engineer (1-2 yrs)

VPATROL AI is a leader in mobile advertising, leveraging cutting-edge AI and big data analytics to optimize real-time ad bidding, audience targeting, and campaign performance. We work with large-scale programmatic ad platforms to deliver high-impact mobile ad experiences.

Job Description :

We are looking for a Data Science Engineers with expertise in mobile advertising to analyze large-scale real-time bidding (RTB) data, detect fraud patterns, optimize ad performance, and drive data-driven decision making. You will work closely with engineering, product, and marketing teams to develop machine learning models, build predictive analytics, and enhance ad targeting strategies.

Key Responsibilities :

- Analyze large-scale RTB bid stream and user interaction data to extract insights and optimize ad performance.

- Develop and implement machine learning models for prediction, and fraud detection.

- Detect device ID spoofing, ad fraud, and anomalous patterns in mobile ad traffic.

- Collaborate with engineering teams to deploy models in production and optimize real-time decisioning.

- Develop dashboards and data visualizations (e.g., heatmaps in deck.gl) to monitor key advertising metrics.

- Optimize using reinforcement learning, Bayesian optimization, or multi-armed bandits.

- Work with structured and unstructured data from various sources, including mobile SDK logs, server logs, and third-party data.

- Stay updated with the latest trends in AdTech, programmatic advertising, and privacy regulations (e.g., GDPR, CCPA, ATT/iOS privacy changes).

Requirements :

- 1+ years of experience in data science, preferably in mobile advertising, AdTech, or programmatic media.

- Strong experience with Python, SQL, and big data frameworks (Spark, BigQuery, Snowflake, or similar).

- Knowledge of RTB protocols, OpenRTB, bid stream data, and mobile advertising identifiers (IDFA, GAID, MAIDs).

- Experience with fraud detection techniques (e.g., anomaly detection, device fingerprinting).

- Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-Learn).

- Experience working with real-time streaming data (Kafka, Flink, or similar).

- Strong analytical skills and experience working with large datasets.

- Familiarity with data visualization tools (deck.gl, D3.js, Tableau, Looker, or similar).

- Ability to work in a fast-paced, results-driven environment.

Nice to Have :

- Experience with real-time WebSocket-based data processing.

- Familiarity with privacy-preserving ML techniques (e.g., federated learning, differential privacy).

Why Join Us?

- Work on cutting-edge AI/ML solutions in mobile advertising.

- Solve complex problems in real-time data processing and fraud detection.

- Collaborate with a team of top-tier engineers, data scientists, and AdTech experts.

- Growth opportunities.