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8+ years of experience in Data Analytics, Data Science, Product Management, Business Intelligence, Business Operations or other quantitative disciplines. Be a close business partner and credible advisor to Jerrys entire leadership team by connecting the dots between data, insights and impact.
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Our products are trusted by leading companies including PayPal, Visa, FTX, Uniswap, Anchorage, and federal agencies such as the FBI and IRS. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
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A doctorate in epidemiology, biostatistics, public health, medicine, health policy, bioinformatics, data science, informatics, or a closely related field; Our department has primary responsibility within UCSF for delivering training in the methods of epidemiology, biostatistics, health data science, public health, and health services research.
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Design and implement complex data models, modeling metadata, building reports and dashboards and creating reporting tools for data science and ML products users. Design and deploy data infrastructure needed to drive data-driven decision-making solutions.
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Work with the data science and data engineering teams to enhance our usage of Iterable, creating personalized messaging for each customer to drive repeat purchases and LTV. Work with data science team to reveal drivers of high LTV and repeat purchase, and develop strategies to reinforce and apply those insights across the customer database.
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Bachelor’s degree in computer science or similar field with 10 years' experience as a data engineer, Database Administrator, or software developer. - Responsible for data engineering functions including, but not limited to data extract, transformation, loading, integration in support of modern cloud computing platforms like Azure and Databricks.
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Computer Science fundamentals in data structures and algorithm design. Work with cutting edge ASIC technology to maximize efficiency across our Bitcoin mining fleet. We are actively seeking Software Engineers for our Bitcoin mining operations team to work on our cutting-edge distributed infrastructure and tooling.
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The Global Manufacturing Excellence organization will be the center of excellence in Global Manufacturing under Downstream business line within This Company for Digital transformation, Artificial Intelligence technologies and data science.
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Existing collaborations within CZ Biohub: Technology Platforms (Bioengineering, Computational Microscopy, Data Science, Genomics & Mass Spectrometry), Infectious Disease , and Quantitative Cell Science.
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In this role, you will sit at the intersection of Data science, Engineering, and Product Management, & work collaboratively with different teams to transform data generated by our fleet of edge devices & other digital data into data products that provide actionable insights to our end customers.
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Work with top-flight software and hardware and data science engineering talent from places like Google, Amazon, Nvidia, Palantir, and NASA JPL. Tackle problems on the boundary of software, hardware, data science and the real world.
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Authority in Node.js, Angular, Spring, and Java, applying expertise to drive the development and implementation of data solutions. Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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You’ll also work closely with our broader Data Engineering and Data Science teams on Sales data pipelines and analyses. Share visualization and dashboard development best practices with our Business Intelligence and Data Science teams to create consistency across our dashboards.
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Partner closely across the business to find improvements/opportunities and influence decisions using data science methodologies and tools. Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT.
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Collaborate with pre-clinical data science and clinical teams to define data requirements, reconciling research needs with real-world data collection practices and utilization.
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data science mining jobs Title: decision scientist in San Francisco, Grove-city, Ohio
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