[Hiring] Senior Data Scientist - Ads Auctions @Jobgether

Role Description

This role offers a unique opportunity to shape the future of ad auction systems through advanced data science and machine learning. You will analyze massive datasets, develop predictive models, and optimize auction strategies to maximize efficiency and revenue. As a key contributor, you will collaborate with cross-functional teams including engineering, product, and analytics, influencing high-impact decisions and scaling data-driven solutions across the organization. The position combines technical rigor with strategic thinking, allowing you to directly improve the performance of digital advertising products. You will operate in a fast-paced, innovative environment where experimentation, AI-driven insights, and measurable impact are highly valued.

• 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.

Qualifications

• 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.

Company Description