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Our interdisciplinary team, comprising experts in clinical science, data science, statistical genetics, machine learning and drug discovery, utilizes this platform to determine genetic drivers of disease progression, advance novel therapeutics and define genetics-based patient stratification.
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More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
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We want Data Science/Machine Learning/Data Analyst and Java Full Stack candidates. Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools.
$165,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Educated, with a minimum of a bachelor’s degree in marketing, business administration, psychology, data science, or a related field (exceptions made for deep industry experience or a proven track record of scrappy success.
$220,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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You’ll partner closely with our Finance, Monetization Engineering, Business Intelligence and Data Science teams to support critical financial reporting and analysis needs. g dimensional modeling, data marts, star/snowflake schemas.
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Calibration of dose meters (including dosimetric inter-comparisons for QA) and radiation equipment (accelerator monitor unit calibration) Beam data acquisition for treatment planning. Preparation of data for treatment planning systems Development/improvement of dose measurement systems and protocols and software for dosimetry purposes (including spreadsheets and databases.
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Experience with Python and key data processing and visualization libraries (pandas, scikit-learn, seaborn, etc.) Drive org-wide impact by shaping product and business strategy through data-centric presentations.
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Data Science Management, Director Data Science, Director of Data Science, Director of Engineering, Senior Director of Data Science, Senior Director Engineering, Manager Data Science, Manager Engineering, Artificial Intelligence Management.
$280,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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About The Position Summary : The Echo Tech produces quality images of heart muscle and functions; Sets up ultrasound equipment; records cardiac data and measurements using high frequency sound waves (ultrasound), and other noninvasive echocardiography testing equipment.
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About the Team: You’ll join the team that’s behind OpenAI’s data infrastructure that powers critical engineering, product, alignment teams that are core to the work we do at OpenAI. The systems we support include our data warehouse, batch compute infrastructure, streaming infrastructure, data orchestration system, data lake, vector databases, critical integrations, and more.
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The Senior Mechatronics Engineer will work closely with other members of the engineering staff to create optimal solutions to a myriad of product related topics such as but not limited to mechanical design, thermal, and data analytics.
$197,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Collaborating with our Product Management, Data Science, and Software Engineering teams to bring analyses and data modeling into production software. Familiarity with our data stack, which includes Google Cloud Platform, BigQuery, Looker, Jupyter notebooks, and Python/Pandas.
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As a Staff Site Reliability Engineer for the Data Engineering team, you will be responsible for maintaining and enhancing the reliability of our data infrastructure. The Site Reliability Engineering (SRE) team is dedicated to ensuring the reliability, scalability, and performance of our data infrastructure.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Work with other teams within the organization, such as data science, analytics, and visualization, to ensure that the data platform meets their needs. Data Processing/Transformations: Vector (VRL), Kafka, Apache Spark, and or general ETL applications & approaches.
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Our team is responsible for building data and analytics services to improve our Motion Planning team’s Machine Learning Platform. Collaborate closely with ML modeling teams across motion planning, systems engineering, and other autonomy groups to define ML workflow requirements and build critical data services.
$252,000 a yearFull-timeExpandApply NowActive JobUpdated 29 days ago
data job Title: science Company: Jooble in San Francisco, CA
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