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5+ years of experience in machine learning frameworks such as PyTorch, Tensorflow, ONNX Runtime, and TensorRT.Hands-on expertise in traditional statistical machine learning techniques, deep learning, and natural language processing modeling.
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Basic data analytic proficiency using a statistical package (R, SAS, Stata, etc.) Through direct patient engagement, state of the art machine learning, and scientific expertise, PicnicHealth uniquely curates 100% of consenting patients’ medical records to generate the high quality and clinically-rich evidence that life sciences companies need, at a fraction of the cost of traditional study models.
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Responsible for the development, enhancement, and production of various predictive and Machine Learning driven models to generate behavioral shopper insights, target audiences, and optimized customer journeys.
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Stay abreast of the latest advancements in machine learning, ASR, and LLM to ensure the continuous evolution of our technologies. Minimum of 5+ years of experience in working with deep learning and statistical models, with at least 3+ years of industry experience.
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Knowledge in machine learning, artificial intelligence, statistical modeling, data visualization, and data analysis. Employ machine learning and statistical modeling to create and enhance data driven products.
$167,780 - $281,870 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Use a variety of exploratory, data visualization, and statistical techniques to uncover actionable insights, including A/B testing, cohort analysis, regression modeling, trend analysis, user segmentation, and machine learning.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. You will report directly to the Data Science Leader overseeing our Trust & Safety DSA team.
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In this role, we’re looking for a product manager with a strong understanding of econometrics, experimentation, and statistical modeling who can partner with our team of PhD data scientists to build products which bridge the gap between scientific insight and actionable recommendations for our customers.
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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.
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Proficiency in statistical analysis, machine learning algorithms, and data mining techniques, with experience in Python, R, or similar programming languages. Model Development: Lead the development of predictive models using advanced statistical techniques, machine learning algorithms, and data mining methods to forecast future outcomes and identify trends and patterns in data.
$170,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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.
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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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InPowered’s AI platform enables brands to maximize their content marketing ROI. Powered by Artificial Intelligence and years of machine learning, their Content Intelligence and Content Distribution solutions allow marketers to collect proprietary data and use it to drive real ROI – positively changing brand perception, increasing action taken onsite, lead generation and user engagement.
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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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machine statistical jobs in South San Francisco, CA
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