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Robinhood faces unique data challenges with a focus on integrating multifaceted data streams such as rapidly changing market data, user data based on app activity, and brokerage operations data to understand user behavior and the risks to our business.
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Connect our data to business systems including salesforce, marketo, intercom, google analytics, metabase, etc. Build data science / machine learning models using internal and external data sources to identify potential new customers, those who are at risk of churn or those with potential upsell opportunities.
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Ensure data quality, metadata management, compliance, and consistency of master data across business systems (PLM, SAP, MES, and other systems) to achieve a scalable digital ecosystem. Educate users on the basics of data governance and master data management including data dictionaries, business glossary, 6Ws, data standards, lineage, etc.
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Design and implement Data Migration and Data Integration across cloud and hybrid environments. Experienced in Data Migration and Data Integration. Mastery and hands-on experience with Data Engineering technologies and scripting languages.
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2+ years of experience in Data Science or a related field, with a focus on building NLP/LLMs or Deep Learning models. As a Data Scientist at Netomi, you will drive NLP and machine learning projects and be responsible for developing methodology and solutions to support technical, analytical, and operational requirements.
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The Clinical Data Manager / Senior Clinical Data Manager (CDM) is responsible for data management activities across one or more studies from study start-up through study closure to ensure completion per established project team goals and objectives, including oversight of the CRO DM Vendor, if the project is outsourced.
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Big Data Expertise : 3+ years of hands-on experience with major Big Data technologies and frameworks, including Spark, Hive, ZooKeeper, HDFS, Presto, Hadoop, MapReduce, Tensorflow, and more.
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In this role, you’ll be helping us to drive our PLG motion forward, surfacing insights from a wealk of our customer data, partnering directly with our growth teams on Marketing & R&D to build out our experimentation capabilities, and owning our data stack (Looker, DBT, Fivetran, Snowflake, Census.
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Experience with data from phage or yeast display or NGS generally. Advancing BigHat therapeutic programs through ownership of the entire data science life cycle from experimental design through data analysis and modeling, including implementation of novel antibody design strategies, development of robust data pipelines for assays of antibody function and developability, and data-driven improvements to our statistical and ML models.
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Experience with streaming / data processing technologies such as Beam, Spark, Kafka, Airflow, HBase, Presto. Experience in stream / data processing technologies like Kafka, Spark, Google BigQuery, Google Dataflow, Presto, HBase.
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Master's Degree and 3 years of focus experience post master's degree in data science/data analytics, quantitative survey research in Economics, Sociology, Statistics, Social Sciences, Community Psychology, Public Health, or related field.
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5+ years experience in role/s operationalizing data policies - e.g. data privacy operations, privacy regulatory compliance, security GRC, Trust & Safety function - executing cross-functional organizational processes in data governance/ digital transformation.
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Collaborates with NPM's staff across Clinical Science, Digital Health, Software Engineering, Data Science, and Informatics to detail AI model functionality and requirements to significantly increase efficiency in the areas of document control, clinical information extraction, information synthesis and clinical note preparation.
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4+ years experience in role/s operationalizing data policies - e.g. data privacy operations, privacy regulatory compliance, security GRC, Trust & Safety function - executing cross-functional organizational processes in data governance/ digital transformation.
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Senior Data Scientist, Computational Biology Department: DS/ML (Data Science/Machine Learning) Experience with technologies for measuring antibody diversity and selection, including sequencing data of immune repertoires.
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data job in San Mateo, CA
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