About the Company:

The company is a pioneer in mobile data-driven decision-making, powering billions of real-time interactions daily through its cutting-edge platform. Its technology enables businesses to unlock hyper-targeted insights, optimize monetization, and transform raw data into scalable growth. The organization is renowned for fostering innovation and empowering teams to shape the future of digital engagement.

The Role:

The Senior Data Scientist will architect machine learning-driven solutions that redefine real-time bidding (RTB), audience segmentation, and ad campaign optimization. This individual will own the end-to-end lifecycle of data products, from ideation to deployment, and collaborate with cross-functional teams to translate petabytes of mobile data into actionable intelligence.

Key Responsibilities:

• Scalable Model Development: Designing and deploying end-to-end ML models (e.g., gradient-boosted trees, recommendation systems) to optimize bid pricing, fraud detection, and user lifetime value in real-time ad auctions.
• Data Pipeline Ownership: Building fault-tolerant, scalable workflows (e.g., Spark, Flink) to process 10M+ events/sec, ensuring low-latency responses for programmatic platforms.
• Monetization Strategy: Collaborating with Ad Operations teams to refine pricing algorithms, automate budget allocation, and predict campaign performance using time-series and unsupervised learning methods.
• Innovation Initiatives: Prototyping NLP/computer vision tools for contextual targeting and exploring LLMs for dynamic creative optimization (DCO).
• Leadership & Collaboration: Mentoring junior team members, presenting insights to executive stakeholders, and aligning R&D with KPIs such as ROAS, CTR, and fill rates.

Desired Qualifications:

• Technical Expertise:
  
  • 5+ years of experience in data science, with a proven track record in AdTech, RTB, or mobile analytics.
  • Advanced proficiency in Python (PySpark, Pandas, TensorFlow/PyTorch), SQL (BigQuery, Redshift), and ML deployment tools (MLflow, Airflow).
  • Experience with real-time systems (Kafka, Pub/Sub) and cloud platforms (GCP, AWS).
• AdTech Domain Knowledge:
  
  • Familiarity with DSP/SSP ecosystems, header bidding, or attribution modeling (MMP tools).
  • Understanding of programmatic advertising metrics (CPM, CPC) and auction dynamics.
• Mindset & Approach:
  
  • A strategic thinker who bridges technical rigor with business impact.
  • Comfortable iterating rapidly in dynamic environments (A/B testing, causal inference).

Why Join?

• Technology: The company leverages global real-time datasets and cutting-edge tools (Kubernetes, Ray) for distributed ML.
• Impact: The Senior Data Scientist’s work will directly influence a platform used by Fortune 500 brands and top mobile apps.
• Culture: Remote-first flexibility, equity incentives, and a results-driven team culture.