Senior Data Scientist: Deploy ML at Scale in AdTech

Proximity Works; Palo Alto, San Francisco (CA, CA); On-site; USD 170,000 - 230,000; Full time

Benefits offered by this job

Best-in-class salary

Proximity Talks

Continuous learning

High-impact projects

Job summary

Proximity seeks a highly skilled Senior Data Scientist to design, build, and deploy scalable ML models at scale. You will work with big data, Spark, Hadoop, and modern cloud platforms, delivering data-driven solutions end-to-end.

You will own experimentation to production, using Python, SQL, and ML libraries, while collaborating with engineers to deploy on AWS and optimize data pipelines for speed and efficiency.

Qualifications

• Minimum 5 years of experience in Data Science or ML.
• Strong Python, SQL, and ML libraries (Pandas, Scikit-learn, TensorFlow, PyTorch).
• Experience deploying ML models to production on big data platforms (Hadoop, Spark).
• Hands-on experience with Databricks, Airflow, and AWS EMR.
• Knowledge of AWS services (S3, Lambda, SageMaker) preferred.

Responsibilities

• Design, build, and deploy scalable ML models into production systems.
• Develop advanced analytics and predictive models using Python, SQL, and ML frameworks.

Skills

Python

SQL

Pandas

Scikit-learn

TensorFlow

PyTorch

Tools

Databricks

Airflow

AWS EMR

Hadoop

Spark

AWS SageMaker

Job description

Proximity seeks a highly skilled Senior Data Scientist to design, build, and deploy scalable ML models at scale. You will work with big data, Spark, Hadoop, and modern cloud platforms, delivering data-driven solutions end-to-end.

You will own experimentation to production, using Python, SQL, and ML libraries, while collaborating with engineers to deploy on AWS and optimize data pipelines for speed and efficiency.