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You have a deep understanding of the modern data landscape (e.g. Snowflake, Databricks, AWS, GCP, dbt) and have built or used API products. 3-5 years experience in Product Management, or in a data-centric role (e.g. data engineer, data scientist, data analyst) which requires similar skills.
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Need experience building ETL pipelines from NoSQL databases, MongoDB acceptable, but if they have used a less mature NoSQL such as Google Filebase that would be preferredExperience in Vector DB preferredNeed strong data warehousing and modeling fundamentalsAdvanced SQL skillsNeed experience with at least 1 BI tool: Tableau, Looker, etc.
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Oversee the ambulatory quality and data analytics teams, ensuring accountability for meeting metrics and reporting data to required agencies and internal Quality Improvement programs.
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You care deeply about the quality of your work and our data. 4+ years of professional experience as a data scientist in the SaaS industry. We are a top-notch data organization with a great culture and have the same high standards with our code, systems, practices, and people.
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Participate in data cleaning, data visualization, as well as quality checks to ensure data accuracy and reliability. Currently enrolled in an MA or PhD program in a field that emphasizes quantitative social science research, such as Industrial/Organizational (I/O) Psychology, Economics, Behavioral Science, Data Science or Analytics, or a related field.
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This role will report to the Chief Technology Officer and be responsible for leading a team of data analysts and scientists. The ideal candidate is someone who has a prior record of managing teams, executes company-wide data strategy, and loves the intensity of a high-growth startup.
$230,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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As a Data Scientist you should be comfortable discussing statistical and machine learning methodology and have significant experience with Machine Learning systems, working with the details of algorithms, not just the tools' application.
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Verana Health, a digital health company that delivers quality drug lifecycle and medical practice insights from an exclusive real-world data network, recently secured a $150 million Series E led by Johnson & Johnson Innovation – JJDC, Inc. (JJDC) and Novo Growth, the growth-stage investment arm of Novo Holdings.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Strong experience with provisioning and managing data infrastructure components like Kafka, Spark, and Airflow. 5+ years of experience as a Data Infrastructure Engineer or in related roles like Platform Engineer, SRE, DevOps or Backend Engineer.
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The Community Practice Clinical Data Coordinator at Trial Library will play an integral part in expanding access to cancer clinical trials by pioneering pre-screening efforts in community oncology settings.
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Forward is on a bold mission to make high quality healthcare available to a billion people across the globe. Forward - What Quality Healthcare Should Look Like [Mashable] Forward was founded in January 2016 by former executives and engineering leaders from Google and Uber. We are funded by some of the world's best investors and entrepreneurs including Founder's Fund, Khosla Ventures, First Round Capital, Eric Schmidt (Google/Alphabet Chairman), Marc Benioff (Salesforce Founder), and Garrett Camp (Uber co-Founder.
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Position Description:Calico is seeking an expert data scientist or computational biologist to join our multidisciplinary team of mass spectrometrists, biologists and computer scientists to become an integral part of our solution for proteomics.
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Healthcare Analytics Practice (HAP)– Our core strength is the ability to harness and analyze large amounts of electronic healthcare data and turn it into meaningful and insightful information. QualificationsMaster’s or bachelor’s degree in economics, mathematics, data science, statistics, accounting, finance, healthcare administration or related fields.
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Desire proficiency in cloud-based computing and data platforms (Azure, Google Cloud, BigQuery, Snowflake, DataBricks) Advanced level skill with SQL, Excel, data visualization (Tableau preferred), query tuning, various database models (normalized / dimensional / data vault / etc.
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data quality jobs Company: Greystar in Oakland, CA
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