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We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more. Operating on the noisy data of a real-world environment, the problems you face will be complex and open-ended, and the solutions you create have the potential for enormous impact.
$170,000 - $230,000 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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They build autonomous driving software for automakers, based on a breakthrough in artificial intelligence that finally makes highway autonomy safe and scalable for the consumer car market. They have raised $165 million from investors including Mike Speiser at Sutter Hill Ventures, Keith Rabois at Founders Fund, and Vinod Khosla at Khosla Ventures.
$175,000 - $275,000 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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Experience working with a cloud-based data warehousing and analytics stack (Airflow, dbt, Snowflake, AWS) Support the Data Domain and Stewardship teams with data governance efforts, such as Business Glossary definitions and asset enrichment.
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Data science: Hands-on experience with data science projects. Experience with financial workflows: Worked with corporate financial data/products geared to finance professionals. Location : NYC, Flatiron office.
$100,000 - $200,000 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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Fintech APIs: Experience with foundational fintech APIs e.g., Quickbooks, Plaid, etc. Machine learning: Experience training models or building ML-ops systems. Evolve our approach on frontend infrastructure, web server design, abstractions, etc.
$100,000 - $200,000 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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The company is dedicated to serving software developers and businesses worldwide, enabling them to build exceptional data-driven products that measure everything that matters : software applications, industrial equipment, financial markets, blockchain activity, consumer behavior, machine learning models, climate change, and more.
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Data Warehouse Performance: We’re consistently pushing the limits of what data warehouses can handle in terms of speed, performance, and interactivity. Building upon Reverse ETL’s ability to use SQL to sync to any SaaS tool, you will be helping build a new product that provides a purpose-built no-code suite of features that enables anyone, regardless of their SQL experience, to activate data directly from their warehouse.
Full-timeRemoteExpandUpdated Yesterday - UpvoteDownvoteShare Job
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This team will collaborate with our Growth and Deliveryorganizations as a tiger team. A Technical Lead maybe responsible forplanning, directing, and overseeing other technical resources within aunit, mentors junior Data Science technical resources in how best toapproach and develop solutions.
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The role will involve: Forming strategic partnerships, Making great first impressions during first-level calls/meetings/mails with Heads of Analytics / Advanced Analytics / Big Data at our prospects, extensive travelling, across the US (primarily, though it could include travelling to other parts of the US occasionally too), Participating actively at conferences, Generating a target number of qualified leads yourself.
Starting at $250ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark) 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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As a tech lead specialized in data engineering, you are expected to code and contribute to the stack. Work with Privacy and Security team on data governance, risk and compliance initiatives.
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Demonstrated prior experience in creating data pipelines for text data sets NLP/ large language models. We’re looking for an exceptional data engineer who is passionate about data for AI and values it can bring to our company, Who loves working with data ops at scale; and who is committed to the hard work necessary to continuously improve our ML data pipelines.
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Team Full Swing boasts PGA TOUR Players Tiger Woods, Justin Rose, Jordan Spieth, Gary Woodland, Brandt Snedeker, Jason Day, the LPGA's Brooke Henderson, the NBA's Steph Curry and the NFL's Patrick Mahomes.
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At Capital One, you will be a vital contributing member to a tiger team responsible for identifying cybersecurity gaps and seams and solutions on how to address them, to include highlighting the need for new or enhanced projects that create business value and reduce critical cyber risk.
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Support data validation and communications on the impact of identified operational, compliance, process, control, and tooling gaps and potential remediation courses of action to multiple audiences, including leadership, to support the enhancement of their cybersecurity postures.
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