Senior Data Scientist, AdTech — Build & Deploy ML at Scale

ProximityWorks; San Francisco, Palo Alto (CA, CA); On-site; USD 150,000 - 210,000; Full time

Job summary

ProximityWorks is seeking a Senior Data Scientist for a 6-month contract in San Francisco to design, deploy, and optimize machine learning models at scale. The role focuses on end-to-end experimentation, feature engineering, and production-ready pipelines using Python, SQL, Spark, and AWS.

You will work with big data tools like Databricks, Hadoop, and Airflow, collaborating with engineering teams to integrate models into cloud-based applications on AWS.

Qualifications

• Minimum 5 years of experience in Data Science or Applied ML.
• Strong proficiency in Python, SQL, and ML libraries (Pandas, Scikit-learn, TensorFlow, PyTorch).
• Proven expertise in deploying ML models into production systems.
• Experience with big data platforms (Hadoop, Spark) and distributed data processing.
• Hands-on experience with Databricks, Airflow, and AWS EMR.
• Strong knowledge of AWS cloud services (S3, Lambda, SageMaker, EC2, etc.).
• Solid understanding of query optimization, storage systems, and data pipelines.
• Excellent problem-solving skills, with the ability to design scalable solutions.
• Strong communication and collaboration skills to work in cross-functional teams.

Responsibilities

• Design, build, and deploy scalable ML models into production systems.
• Develop advanced analytics and predictive models using Python, SQL, and ML frameworks.
• Leverage Databricks, Apache Spark, and Hadoop for large-scale data processing and model training.
• Implement workflows and pipelines using Airflow and AWS EMR for automation and orchestration.
• Collaborate with engineering teams to integrate models into cloud-based applications on AWS.
• Optimize query performance, storage usage, and data pipelines for efficiency.
• Conduct end-to-end experiments, including data preprocessing, feature engineering, model training, validation, and deployment.
• Drive initiatives independently with high ownership and accountability.

Skills

Problem-solving

Communication

Collaboration

Ownership

Tools

Python

SQL

Pandas

Scikit-learn

TensorFlow

PyTorch

Databricks

Airflow

AWS EMR

SageMaker

S3

Lambda

EC2

Job description

ProximityWorks is seeking a Senior Data Scientist for a 6-month contract in San Francisco to design, deploy, and optimize machine learning models at scale. The role focuses on end-to-end experimentation, feature engineering, and production-ready pipelines using Python, SQL, Spark, and AWS.

You will work with big data tools like Databricks, Hadoop, and Airflow, collaborating with engineering teams to integrate models into cloud-based applications on AWS.