Senior Data Scientist (f/m/d)

Adjoe; United States; Remote; USD 140,000 - 200,000; Full time

Job summary

adjoe seeks a Senior Data Scientist to enhance advertiser ROAS and publisher revenue through production ML models. The role centers on deploying deep learning solutions at scale and owning ML projects that impact business metrics for a vast user base.

You will work with large behavioral datasets using modern data tooling and frameworks (PyTorch or TensorFlow) in production environments, ensuring collaboration with stakeholders across teams.

Qualifications

• Extensive experience deploying deep learning solutions.
• Hands-on production deployment of DL models in high-traffic environments.
• Own end-to-end ML projects with cross-functional stakeholders.
• Experience with PyTorch or TensorFlow and large-scale data tooling.

Responsibilities

• Own ML projects end-to-end from concept to deployment.
• Deploy deep learning models in production in high-traffic environments.
• Translate product requirements into actionable ML strategies.
• Collaborate with technical and non-technical stakeholders.

Skills

Deep learning

Production ML

Stakeholder communication

Data-driven decision making

Tools

PyTorch

TensorFlow

Spark

Trino

AWS Athena

Job description

adjoe seeks a Senior Data Scientist to enhance advertiser ROAS and publisher revenue through production ML models. Ideal candidates have extensive experience in deploying deep learning solutions and a strong grasp of data engineering.

As a Senior Data Scientist at adjoe, you will be responsible for end-to-end ownership of machine learning projects that directly impact business metrics for a user base of over 770 million. This role emphasizes the production deployment of deep learning models, requiring hands-on experience with frameworks like PyTorch or TensorFlow in high-traffic environments.

You will work with large behavioral datasets, utilizing tools such as Trino, Spark, and AWS Athena for data extraction and analysis. Success in this role means effectively translating product requirements into actionable ML strategies while engaging with both technical and non-technical stakeholders.