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Backed by a renowned set of investors and partners including CapitalG, Tiger Global, and ICONIQ Growth, we’ve set out to build the future of AI. Experience with a complex platform sale, including experience with sales related to AI, analytics, data science, BI/DW, and data integration.
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Tiger Analytics is looking for experienced Principal Data Scientist to join our fast-growing advanced analytics consulting firm. As a Principal Data Scientist, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services.
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We have raised $400M+ in funding to date from leading investors including , Blackstone, Tiger Global, Lightspeed Ventures, Goodwater Capital, XVC and iFly. The opportunity now is to join a rocketship as we prepare for the next stage of growth, and an eventual public listing.
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Ability to collaborate with Technical SMEs such as Data Scientists, Data Engineers and ML Engineers from Tiger and the Client side to design AI and ML solutions. If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you.
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Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark) We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more.
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Experience designing and building highly available, distributed systems of data extraction, ingestion, normalization and processing of large data sets in real time as well as batch, that will be used across engineering teams using orchestration frameworks like Airflow, KubeFlow or other pipeline tools.
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We’ve built one of the most experienced leadership teams in Fintech and were recently valued at over $25.5B. We’ve raised over $1.7B in funding from leading investors including Sequoia Capital Global Equities, SoftBank Vision Fund 2, General Atlantic, Tiger Global, Dragoneer, DST, Coatue, Iconiq, Menlo Ventures and others.
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4+ years of experience in traditional and modern Big Data technologies (HDFS, Hadoop, Hive, Pig, Sqoop, Kafka, Apache Spark, hBase, Oozie, No SQL databases) The Big Data Azure Engineer will be responsible for architecting, designing, and implementing advanced analytics capabilities.
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To achieve this vision, we've raised over $175M from Tiger Global, 8VC, ScaleUp, Spark Capital, Slack, and more. We empower over 100,000 developers and over 900 companies all over the world to access, parse, and gain insights from communications data to provide better experiences for their customers and users, all while providing top tier security and compliance.
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We have a huge market (every company that builds software) and a massive opportunity (the world runs on communication and data). We are a flexibility first workplace, but if Nylanauts want to work from an office, we have access to WeWork spaces across the globe.
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