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Learns about machine learning, data science, computer vision, artificial intelligence, statistics, and/or appliedmathematics as necessary to carry out role effectively. Experience with designing and maintaining data warehouses and/or data lakes with big data technologies such as Spark/Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing,accessing, and transforming data in a variety of relational databases.
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Spiral (formerly Square Crypto) builds and funds free, open-source Bitcoin projects. The Growth Marketing Analytics team at Square is responsible for leveraging data science and analytics to make recommendations to drive full funnel efficiencies and measure the impact of marketing initiatives and web surfaces on driving business outcomes.
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Our team is responsible for enabling Hims & Hers business (Product, Analytics, Operations, Finance, Data Science, Machine Learning, Customer Experience, and Engineering) by providing a platform with a rich set of data and tools to leverage.
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PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
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Work cross-functionally with product, platform, security, and data engineering teams to unlock new machine learning applications. TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.
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As the Head of Data you will be responsible for leading centralized Data functions for Square including Data Science + Analytics, Machine Learning, and Data Engineering teams and will be the architect of Square’s Data strategy.
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Extensive experience with Python and SQL for data science, machine learning, and software development e.g. numpy, scipy, pandas, scikit-learn, PyTorch, LightGBM, Flask, FastAPI, Docker, Jupyter.
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Technical Proficiency: Familiarity with data science methodologies (machine learning, statistical modeling, etc.) Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
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A Masters or advanced degree in computer science, data science, operations research, applied math, stats, physics, or a related technical field. Use Python ML stack, LLMs, Pytorch, Snowflake, Airflow based tools, data platform and cloud services (both GCP & AWS) to get the job done.
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Head Of Machine Learning - RWE - United StatesHead Of Machine Learning - Real World Evidence - United StatesHead of Computational Science & Data Strategy, Research. Head of Machine Learning & Data Science (US/KR)Executive Director, Head of Data & AI Governance and Policy, R&DHead of Computational Science & Data Strategy, ResearchExecutive Director, Head of Data & AI Governance and Policy, R&DPlatform Head, Data & Software Engineering Visit the Career Advice Hub to see tips on interviewing and resume writing.
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Understand the needs of data engineering and data science groups and deliver best-in-class solutions for them by leveraging open-source software like DBT and Dagster.
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As a Data Science Senior Manager, you will have end-to-end ownership of custom models, algorithms, and other data products that feed directly into TRM’s UX. In collaboration with a highly skilled team of engineers, data scientists, and research scientists, your goal will be to uncover valuable and defensible information that can be used to detect, prevent, and mitigate cryptocurrency fraud and financial crime.
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Construction Management, Materials Science, Materials Science and Engineering, Project Engineering & Management, Risk Management, Civil Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering.
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We appreciate broad perspectives, a willingness to dive deep, and a readiness to work collaboratively across many disciplines (including product, design, operations, legal, data science, ML.
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Requires proficiency in SAS, R, or Python (preferred) for data wrangling, automation, and creating statistical and machine learning models. Desire proficiency in cloud-based computing and data platforms (Azure, Google Cloud, BigQuery, Snowflake, DataBricks.
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machine open source big data science jobs Company: Walmart in San Francisco, CA
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