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Collaborating intimately with teams in Product, Business, Design, Engineering, and the larger Data team, our Data Scientists employ methods such as experimentation, statistical analysis, machine learning, causal analysis, and data storytelling.
ExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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The Software Engineering Senior Associate, Valuation & Capital Market Analysis – Complex Financial Instruments will be a member of the Data Science team that builds Python based models and related infrastructure to speed up the development and deployment of machine language (ML), statistical and mathematical models at scale and bring game-changing impact to our client’s decisioning.
$90,000 - $115,000 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Hands-on experience with deploying models to production and building ML pipelines (Docker, CI/CD/CT) Experience with Time Series and NLP problems Solid Knowledge of Supervised and Unsupervised Machine Learning Models Knowledge of Feature Engineering, Data Wrangling/Cleaning Knowledge of Jupyter notebooks and big data environments/training (Spark, Hadoop, etc.
Starting at $250RemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Demonstrated ability in handling complex biological datasets, including consortium and atlas-type data, and applying advanced statistical and machine learning methods to solve real-world problems.
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6 years of industry data science experience, ideally in the health space working with commercial data Extensive experience in data mining, machine learning, statistical analysis techniques and ML algorithms for classification, regression, clustering, anomaly detection.
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Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning.
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Expertise in machine learning, statistical methods and experimental design and analysis. We are hiring a full-stack data scientist to support our LLM efforts and AI innovation located in San Francisco.
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Expertise in machine learning, statistical analysis, and predictive modeling (5 years) Lead the development and deployment of advanced machine learning models to optimize job matching, price, pay, supply acquisition, activation and other critical business outcomes.
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Solid experience with machine learning, A/B testing, and predictive modeling, alongside a strong understanding of statistical concepts and data modeling. Data modeling and machine learning skills highly regarded, with bonus points for experience in content/UGC analysis.
$80 - $105 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Hands-on experience with statistical tools (e.g. SAS, R, Python) Machine Learning and Deep Learning experience. In addition to designing and conducting product experiments, this data scientist will leverage massive structured, unstructured, transactional and real-time data sets from a variety of sources, analyze product usage patterns, and make actionable recommendations using statistical modeling, business understanding and common sense.
Full-timeExpandApply NowActive JobUpdated 5 months ago - UpvoteDownvoteShare Job
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Evolve the platform to handle new statistical methodologies, machine learning and artificial intelligence technologies and advanced causal inference and data mining techniques. Experience in any data-science related subjects such as analytics, statistics, machine-learning, etc.
$140,100 - $210,100 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) Are you looking to work at the forefront of Machine Learning and AI.
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Use statistical modeling techniques to develop northstar metrics and KPIs to help provide a more rigorous data-driven approach to manage the Uber infrastructure. B.S. degree in Computer Science, Statistics, Economics, Mathematics, Machine Learning, Operations Research, or other quantitative fields, or equivalent industry experience.
ExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Leveraging Statistical Analysis, Machine Learning and Data Engineering skills. - Strong experience developing statistical models in a trading environment. - Proven success working with large datasets and developing statistical models.
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Including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals.
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machine statistical jobs in South San Francisco, CA
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