The ETL Data Architect will perform data analysis, ELT/ETL design and support functions to deliver on strategic initiatives. Responsibilities include developing, documenting, and testing ELT/ETL solutions using industry standard tools (Snowflake, Denodo Data Virtualization, Looker), recommending process improvements, and extracting data from multiple sources. The candidate should be willing to explore and learn new technologies.
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As a Lead Data Scientist, you will spearhead the development of cutting-edge Generative AI solutions while building and guiding a brand-new data science team. You’ll be responsible for shaping technical strategies, driving innovation, and delivering impactful AI-driven products leading from the front in a fast-evolving space.
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.
You will be pivotal in transforming marketing, sales, and user behavior data into actionable intelligence that directly fuels user acquisition, engagement, monetization, and retention strategies. As a key partner to the Marketing, Growth, and Product teams, you'll leverage your analytical expertise to uncover opportunities, measure impact, and help shape the company's growth trajectory through data-driven decision-making.