Data Scientist

Location: Remote
Contract Type: EoR, Contract or Salaried Subcontractor, depending on the country
Start Date: Asap (within 30 days)
Engagement Length: 12-18 months max, depending on the country
Rate Range: Hourly in USD

Company Overview:

Our client is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. They help customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.

About the Data Science Team:

The Ads Data Science team leverages data to maximize advertiser value through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge DS methods. We work on a wide range of challenging problems in the areas of ads targeting, relevance modeling, auction optimization, measurement, and user experience. We are a highly collaborative team of passionate data scientists and engineers who are constantly pushing the boundaries of what's possible with machine learning and statistical modeling.

About the Role:

We are looking for a highly motivated and experienced Senior Data Scientist to join our growing Ads Data Science team. As a Senior Data Scientist, you will play a key role in developing as well as applying cutting-edge DS models/methods to improve the adoption and performance of our advertising platform through data-driven insights. You will work closely with product managers, engineers, and other data scientists to identify opportunities, define metrics, and build solutions that drive significant impact.

Responsibilities:

MS or PhD in Computer Science, Statistics, Mathematics, or a related field
5+ years of experience in data science, machine learning, or a related field
Strong understanding of statistical modeling, machine learning algorithms, causal inference and experimental design
Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery a plus
Experience with SQL and relational databases
Proficiency in Python or R and experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch

Bonus Requirements:

Experience with online advertising and ad tech
Experience with causal inference and A/B testing

Data Scientist - Remote