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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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Cloud deployment of Big-data solutions (e.g. AWS, HDI, Google Cloud) Join our world-class team of empathetic, enthusiastic, and creative people who can work on some of the toughest big data problems.
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As the global leader in experience-centric operational analytics, Conviva has redefined big data analytics with our paradigm-shifting Time-State Analytics model. Join us to help extend our leadership position in big data streaming analytics to new audiences and markets.
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Experience: PhD in computer science, data science, computational biology or bioinformatics, preferably including industry experience OR Master’s degree & 5+ years of directly related experience OR Bachelor’s degree & 7+ years of directly related experience.
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Experience with Domo, Power BI, Tableau, or other data visualization software. Project Management experience, PMI or CAPM is a big plus. Key tasks include budgeting, forecasting, complex business analysis, reporting, analyzing key trends, ROI analysis, data visualization, and recommending potential strategies to management to ensure that we achieve our financial and non-financial targets.
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8+ years of experience using scripting languages (Python, R), and big data query/processing languages and tools such as SQL, Hive, Spark and Airflow. We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, economics, and machine learning.
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Experience leveraging cloud based big data technologies (Hive/Hadoop) and modern data visualization tools (Tableau, ThoughtSpot, Looker) to blend data from multiple sources to help answer multi-dimensional business questions.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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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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This role reports directly to the Data Science Lead; works closely with other executives and senior leaders, particularly our Chief Development Officer and Head of Protein Sciences; and has broad responsibilities across BigHat for pipeline development.
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Proficiency in programming languages such as Python or R, and experience working with big data technologies (e.g., Hadoop, Spark) and data visualization tools. We are seeking a talented and experienced Principal Data Scientist to lead the development of a state-of-the-art multi-touch attribution solution specifically tailored for a retail media network.
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More Full Time Jobs Founding Data Scientist/ Machine Learning Engineer San Francisco. Associate Director/Associate Principal Scientist, Biology San Francisco. Cheminformatics Senior Scientist, ADME San Francisco.
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Lead, mentor, train, and coach the mailing and data processing department team members to produce quality products in a timely, efficient, and cost-effective manner. Ensure Data Processing team is maintaining expected regular cleansing of mailing list data using appropriate processing software e.g. BCC, CASS, NCOA, and Postal Presort.
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Identify and interface with regional and national HEOR & RWE experts and organizations, profile data sources and organizations who conduct real world outcomes research as they relate to Annexon’s products and therapeutic areas.
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Snorkel AI offers an AI data development platform called Snorkel Flow that lets enterprises like Wayfair, Georgetown University and Memorial Sloan Kettering dramatically improve time to production and quality of AI results.
$175,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience utilizing graphical software (JMP, R, Python, or similar) and motivated in handling large data sets from high throughput fermentation platforms to make data-driven decisions. Perform Design of Experiments (DOEs) and data analysis with strong scientific and statistical rigor.
$140,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago
big data jobs Title: lead in Burlingame, CA
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