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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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Ensure high operational efficiency and quality of the Core Data platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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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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Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT. Partner closely across the business to find improvements/opportunities and influence decisions using data science methodologies and tools.
$180,000 - $275,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with data-intensive applications, big data pipelines and analytics, having used tools such as Snowflake, DataBricks, Amplitude and Looker. Develop and support cloud-based big data pipelinesUse analytics to understand product behavior and motivate data-driven decisions.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Working closely across groups, such as the product, engineering, data science, and external partners for data modeling, general management of data life cycle, dataernance and processes for meeting regulatory and legal requirements.
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Our technology stack includes Java and Python as well as a wide range of internal tools built on top of Apache Spark, TensorFlow, and other Big Data technologies. As a Lead Engineer on the AI Ops team, you will be responsible for building the next-generation routing engine for the Internet using Data Science, Machine Learning (ML), and Artificial Intelligence (AI.
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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. Be the company’s expert on data administration and master data management.
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Consulting, Staffing & Staff Augmentation, Managed Services, design thinking, big data, employee engagement, executive hires, digital engineering services, talent development, R&D Labs, Cloud Computing, DataOps, DevOps, RPA, digital transformation, and AIOps.
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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. Implement and configure big data technologies as well as tune processes for performance at scale.
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Familiarity with Big Data technology like Apache Hadoop, NoSQL, Presto, BigQuery, BigTable, etc. As a Software Engineering Manager, you will identify, hire and build a world-class team of Software Engineers, Researchers, and Data Analysts to define, drive and execute on the creation of the next generation of Lilt's data platform.
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Big Data Technologies: Proficiency in big data technologies and frameworks such as DBT, Airflow, etc., to handle large-scale data processing and analysis. You'll work closely with our product, engineering, and data science teams to ensure that our platform, powered by cutting-edge technology, is not only robust but also delivers actionable insights that enhance user engagement and learning outcomes.
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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.
$80,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today
big data science jobs Company: Kuraray America Inc in San Francisco, KS, Arizona
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