Senior Data Scientist

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August 21

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Proximity Works

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Artificial Intelligence • SaaS • Enterprise

Proximity Works is a global tech company specializing in Artificial Intelligence and SaaS solutions. They focus on building high-performance software that leverages cutting-edge AI technologies to enhance productivity and transform business operations. Their services include AI-powered SaaS solutions, UX design, and product engineering to help companies scale effectively. Proximity Works collaborates with industry giants like Nasdaq, Disney, and ESPN, offering expertise in AI strategy, machine learning, and high-caliber product development.

51 - 200 employees

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

📋 Description

• 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. • Responsibilities • 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

• 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

• Best in class salary: We hire only the best, and we pay accordingly. • Proximity Talks: Meet other designers, engineers, and product geeks — and learn from experts in the field. • Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day.