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Top Hybrid Data & Analytics Jobs in San Francisco, CA
Fintech • Software
The Data Engineer will design and maintain robust data sets, ensuring data quality and performance for Plaid's data systems. Responsibilities include building data workflows using SQL and Python, collaborating with cross-functional teams, and advocating for industry-standard tools and practices. The role requires significant experience managing large data pipelines and evolving analytics schemas.
Top Skills:
PythonSQL
Biotech
The role involves leading data science initiatives to optimize marketing strategies, build predictive models, and enhance customer acquisition and retention metrics. The Lead Data Scientist will collaborate with Sales and Marketing to drive actionable insights, integrate foundational technologies for real-time analysis, and communicate findings effectively to stakeholders.
Top Skills:
PythonSQL
Professional Services
The Principal Solutions Architect will manage multiple data projects, lead teams, develop client relationships, produce high-quality code, and support proposal development. Responsibilities include standing up cloud data architecture and delivering business intelligence solutions from ETL to visualization.
Top Skills:
PythonRSQL
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Artificial Intelligence • Big Data • Machine Learning • Software
As a Lead Data Engineer, you will construct data pipelines for ingested data, collaborate with data science for ML models, and build applications to monitor data systems, ensuring robust data asset management at Windfall.
Top Skills:
JavaKotlinPython
Productivity • Professional Services • Software • Design
The Data Science Manager will lead a team of data scientists, providing hands-on analysis, driving strategic insights for marketing activities, and fostering a data-driven culture. Responsibilities include managing team growth, partnering with marketing leadership to set goals, and developing tools to assess marketing impact.
Greentech • Financial Services
The Senior Data Engineer at GoodLeap will implement data integrations, participate in project design, uphold data quality, provide mentorship, and collaborate on data architecture. The role requires creating intuitive customer experiences through solid technical skills in data analysis and development.
Top Skills:
NoSQLSQL
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