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Minimum of 5 years of experience in a Data Architect or Solutions Architect role with a focus on implementing cloud data warehouse (e.g. Snowflake, Databricks) solutions. Design Client generative AI powered software design lifecycle solutions for the identified use-cases across leading cloud data warehouses like Snowflake and Databricks.
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Prophecy is used by customers to develop data engineering workflows on Apache Spark, Apache Airflow, and Data Warehouses. Build reusable Spark, SQL, and Airflow packages that solve repeated problems in data engineering (e.g., data quality, auditing, and connectors.
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Work closely and collaboratively with biologists to extract information from imaging and derive meaningful biological data. Be part of an integral team to develop a novel data analysis platform for extracting data from our UltraPCR platform that utilizes groundbreaking 3D imaging techniques.
$155,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience in data governance, data security, and data privacy principles or technologies: data discovery, tagging, classification, and inventory; data obfuscation techniques (encryption, pseudonymization, tokenization); data anonymization; data access control design and implementation / identity and access management (IAM); data encryption; data recovery, data loss prevention; scanning and alerting.
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Reporting to our VP, Data Science and Analytics and partnering closely with our marketing, product, and business leaders, you will run analyses, build attribution models, and design and run experiments to identify efficient acquisition channels and translate insights and learnings to inform our growth marketing investment decisions.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Expertise in modern big data tools and frameworks (e.g. Apache Spark, Airflow, and Delta Lake). Ideal candidates will have practical experience in designing and scaling big data pipelines with proficiency in big-data storage architectures (data lakehouse) and relevant software tools and frameworks including but not limited to Delta Lake, Apache Spark, Apache Parquet, and Apache AirFlow.
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The Senior Data Scientist role is essential to transforming cyber-insurance and operates within a post-IPO company with a mission to redefine the insurance landscape. Proficiency in Python, data manipulation (SQL, pandas, pyspark), and machine learning tools (Scikit-learn, statsmodel, XGBoost.
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Detailed knowledge and experience in working with state-of-the-art big data tools and frameworks (e.g. Apache Spark, Airflow, Delta Lake, or similar). Ideal candidates will have practical experience in designing and scaling big data pipelines and proficiency with tools and frameworks such as Apache Spark, Airflow, DeltaLake, or similar technologies.
$165,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Working knowledge of pharmaceutical industry data sources (e.g., IQVIA/ICON/Veeva Compass, BioMed Tracker, Analysource). Partner with IT and other functions to design and operate the customer master data management process, including business rule definitions and process flows to ensure data integrity and quality.
$131,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Serves as the QC liaison for outsourced immunoassay development, technology transfer and data management in a CRO or CMO/CDMO environment. Accountable for execution of quality control testing and supportive processes including sample /inventory management, scheduling, documentation, compliance review, results reporting (CoA), and scientific interpretation of data / method performance to ensure high quality data and control of immunoassay and bioanalytical methods.
$197,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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You will work with a diverse group of engineers, data scientists, and risk modelers to evolve a platform and application suite that mesh data and machine learning to tame an expanding array of use cases, including automated underwriting, pricing, directed claims handling, and cyber - the #1 threat to US national security, above nuclear weapons.
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Expertise in large-scale distributed data processing platforms, such as Databricks or Apache Spark. Data influences all of the decisions we make at Tinder. Work closely with AI/ML and Data Science teams to define data requirements for predictive modeling and machine learning projects.
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Additionally, you will be a key member of our central Digital Engineering team, supporting data management and application development across IFF R&D. Knowledge of Snowflake data engineering.
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Preferred Qualifications: Prior experience in ad platform, auction systems, or dual-sided marketplace 2+ years of experience as a developer, data scientist or machine learning engineer Hands-on experience with cloud technologies and service oriented architectures Track record of using data analytics for improving SW operations and organizational efficiency Advanced degree in an analytical field.
Full-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Past experience with data processing and orchestration pipelines, such as Argo Workflows , Databricks. As a senior software engineer on the Data Engineering team, you will design and implement all the data needs for our platforms, CELLxGENE Discover , CryoET , as well as the new platform we are building that has a focus on data for AI and the virtual cell, in order to enable scientists to further interrogate our very large and growing corpus of data without any need to download the data itself or have any computational expertise.
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data job Company: Splunk in Belmont, CA
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