Senior Data Scientist - Ads Auctions

The Senior Data Scientist will be responsible for developing models, insights, and solutions that optimize ad auction performance:

• Design, build, and deploy machine learning models to improve ad auction outcomes, pricing, and targeting.
• Analyze large-scale datasets to identify patterns, trends, and opportunities for optimization.
• Collaborate with engineering and product teams to implement predictive models and algorithms in production systems.
• Develop and maintain metrics, dashboards, and experiments to measure and improve auction performance.
• Use statistical analysis and causal inference techniques to guide strategic decisions and evaluate new initiatives.
• Continuously research and apply new AI/ML methodologies to enhance system efficiency and revenue impact.
• Communicate insights and recommendations to stakeholders, translating complex data into actionable business decisions.

Requirements:

Candidates should bring a strong combination of technical expertise, analytical skills, and domain knowledge:

• 3–5+ years of experience in data science, machine learning, or quantitative analytics, preferably in digital advertising or auctions.
• Proficiency in programming languages such as Python, R, or SQL, with experience in data manipulation and model development.
• Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and predictive modeling.
• Strong understanding of statistics, causal inference, and A/B testing methodologies.
• Experience with large-scale datasets and distributed computing platforms (e.g., Spark, BigQuery, Redshift).
• Ability to translate complex analytical problems into clear recommendations for cross-functional teams.
• Strong communication, collaboration, and problem-solving skills.
• Experience in ad tech, digital marketing, or auction-based systems is highly desirable.
• Self-motivated, adaptable, and comfortable in a fast-paced, evolving environment.

Benefits:

• Competitive base salary and performance-based bonus opportunities.
• Fully remote-friendly work environment with flexible work arrangements.
• Health, dental, and vision insurance for employees and dependents.
• 401(k) with employer contributions and equity opportunities.
• Generous paid time off, sick days, and paid parental leave.
• Professional development support, including access to learning platforms and workshops.
• Stipends for home office setup, internet, and wellness initiatives.
• Inclusive and collaborative culture that values diversity, ownership, and innovation.