As a Senior Manager Data Scientist, you will lead a team focused on developing advanced recommendation engines and deploying machine learning models into production environments, enhancing data-driven decision-making processes. This role involves mentoring a team, driving technical excellence, and fostering innovation in a dynamic, data-centric organization, leveraging expertise in Python and PySpark coding, along with experience in MLOps.
Job listings
$3,600–$12,000
USD/year
As a Data Engineer, you will design and build scalable, high-performance data pipelines and infrastructure using modern Azure and big data technologies. You will collaborate with cross-functional teams to deliver clean, accessible, and trusted data that powers advanced analytics, AI/ML models, and key business decisions.
We’re looking for a passionate and experienced Data Engineer to join our team and help us build scalable and efficient ETL pipelines in the Google Cloud Platform (GCP) ecosystem. The ideal candidate will bring strong experience in PySpark, Python, and SQL, with a solid understanding of data pipeline orchestration and performance optimization. You will play a key role in transforming raw data into actionable insights that drive business value.
At Source Meridian, they are looking for a Mid Data Engineer with a passion for data and a strong desire to grow professionally that has more than 3 years of experience as a Data Engineer and hold a degree in Systems Engineering or a related field.
$210,000–$267,272
USD/year
Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas. Use data driven methods and leverage the unique properties of our data to improve candidates retrieval.
As a Lead Data Scientist, you will develop advanced recommendation engines and deploy machine learning models into production, leveraging expertise in Python, PySpark, and MLOps to enhance data-driven decision-making. This position offers an opportunity to lead and mentor a team while driving technical excellence and innovation in a dynamic environment.