The Data Scientist II - FI Solutions plays a crucial role in delivering our solutions today and will play a more prominent role in our future. At Vericast, our data science projects have strong foundations on machine learning, data engineering, and modeling. The Data Scientist II - FI Solutions is passionate about using cutting edge technology and data science methods to solve unique and complex problems within the Financial Services industry.
Support high impact work by running key portions of our data products to help end product owners scale or run centralized data ingestion pipelines that the broader team relies on. Build expertise in highly valuable alternative datasets like web-scraped data, transaction data, email data, and others. You'll gain insight into how investors use data in their investment decisions.
We are seeking a highly skilled Lead Data Engineer with strong expertise in PySpark, SQL, and Python, as well as a solid understanding of ETL and data warehousing principles. The ideal candidate will have a proven track record of designing, building, and maintaining scalable data pipelines in a collaborative and fast-paced environment.
The Data Engineer is a hands-on role responsible for building scalable data pipelines and developing automated reporting solutions. Requires strong technical skills, problem-solving ability, and effective communication with both technical and non-technical stakeholders. Ideal for a self-starter who thrives in a fast-paced environment and takes ownership of delivering results.
As a Manager Data Scientist, you will lead a team focused on developing advanced recommendation engines and deploying machine learning models into production environments. You will leverage your expertise in Python and PySpark coding, along with your experience in MLOps, to play a pivotal role in enhancing Blend's data-driven decision-making processes. This position offers a unique opportunity to lead and mentor a team while driving technical excellence and innovation.
Lead the Data Engineering function, creating an environment of exceptional technical execution. As leader of Data Engineering at Headspace you will be at the leading edge of the AI revolution and have meaningful opportunities to profoundly impact the future of mental health care. You will be responsible for leading and growing a team of talented engineers, spearheading our data strategy and architecture.