Senior Data Scientist - AdTech (6-month Contract)

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

Senior Data Scientist - AdTech (6-month Contract)

We’re seeking a highly skilled, execution-focused Senior Data Scientist with a minimum of 5 years of experience. This role demands hands‑on expertise in building, deploying, and optimizing machine learning models at scale, while working with big data technologies and modern cloud platforms. You will be responsible for driving data-driven solutions from experimentation to production, leveraging advanced tools and frameworks across Python, SQL, Spark, and AWS. The role requires strong technical depth, problem-solving ability, and ownership in delivering business impact through data science.

Design, build, and deploy scalable machine learning models into production systems.

Develop advanced analytics and predictive models using Python, SQL, and popular ML/DL frameworks (Pandas, Scikit-learn, TensorFlow, PyTorch).

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.

Stay up to date with industry best practices in machine learning, big data, and cloud-native deployments.

Requirements —

What You Bring —

Minimum 5 years of experience in Data Science or Applied Machine Learning.

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.

Benefits —

What you get —

Best-in-class salary: We hire strong talent and compensate accordingly.

Proximity Talks: Meet and learn from designers, engineers, product leaders, and AI practitioners.

Continuous learning: Work with a world‑class team and stay close to the latest in AI, engineering, and product development.

High‑impact work: Build AI‑first systems and products used at scale by global clients.

About us —

Proximity is the trusted technology, design, and consulting partner for some of the biggest Sports, Media, and Entertainment companies in the world. We’re headquartered in San Francisco and have offices in Palo Alto, Dubai, Mumbai, and Bangalore.

Since 2019, Proximity has built high‑impact, scalable products used by millions of users every day. Today, we are a global team of engineers, designers, product managers, and experts solving complex problems and building cutting‑edge technology at scale.

AI infrastructure for sports, media, and entertainment.

355 Bryant St, Suite 403, SanFrancisco, CA