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Position Description:Calico is seeking an expert data scientist or computational biologist to join our multidisciplinary team of mass spectrometrists, biologists and computer scientists to become an integral part of our solution for proteomics.
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The Data Scientist will formulate Glo’s data strategy and work with the Data Engineer to implement the appropriate architecture and execute on the strategy. Experience with data visualization tools such as Tableau, MixPanel, Google Looker.
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We are looking for a Staff Data Scientist to help elevate our ability to scale customer demand by driving deep insights to inform our customer acquisition strategy. Reporting to our VP, Data Science and Analytics and partnering closely with our marketing, product, and business leaders, you will run analyses, build attribution models, and design and run experiments to identify efficient acquisition channels and translate insights and learnings to inform our growth marketing investment decisions.
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Reporting to the Director of Computational Biology and Data Science, the Research Scientist will have primary responsibility for developing multimodal data fusion strategies and building innovative AI/ML models to enable CZ Biohub research in San Francisco.
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Experience in chemometrics and spectroscopic data analysis. Experience in use of complex spectroscopic data collection, analysis, and visualization. Carry out complex work plans for multiple tasks, lead data collection and analysis efforts, use findings to improve system performance, and suggest follow-on work.
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Other responsibilities may include utilizing nonclinical PK and PK/PD data (including use of modeling and simulation techniques) to project optimal clinical dosing regimens, doses based on pharmacological/clinical targets, human starting doses, and biomarker exploratory data (including biochemical and molecular data from quantification of mRNA, multi-panel flow cytometry, and protein expression.
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Proficiency in Large Language Model (LLM) inference deployment, with knowledge in relevant technologies and packages, such as ONNX, FasterTransformer/TensorRT-LLM, llama-cpp, Triton Inference Server and VLLM.Participation in Kaggle competitions focused on NLP, demonstrating your in-depth understanding of problems and data, as well as your ability to experiment with a diverse set of NLP techniques / models to find an effective solution.
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We are seeking a full stack Senior Data Scientist who will help shape business strategy and product development decisions through data-driven insights. Experience with using DBT/Airflow to build Data Pipelines in Snowflake.
$128,000 - $240,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Description: We are seeking a brilliant data scientist to help accelerate the build-out of our client-facing content marketing platform. 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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PhD or Master’s degree in a quantitative discipline such as applied statistics, mathematics, biostatistics, data science, epidemiology, health economics outcomes research, or a related discipline.
$134,000 - $148,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You have spent meaningful time as a data scientist partnering with product and engineering teams. You'll partner closely with a product, engineering, and marketing pillar at every step of the development process, driving forward data science and analytics work in that area.
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ML in practice – e.g., selection bias mitigation, ROC analysis, field performance analysis, data miningML systems – event-driven real-time ML systems, pipelining and processing frameworks (e.g., Spark, Lucene, EMR)Bonus PointsM.S. or Ph. D. in CS, EE, or equivalentIndustry experience with ML systems is strongly preferredCommunicating machine learning results and capabilities are important on this team.
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You'll collaborate with business leaders, scientists, and engineers to incorporate sustainability domain nuances when creating data foundations, developing AI models/applications, and applying techniques like data indexing, validation metrics, model distillation, and customized loss functions.
$179,000 - $309,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are hiring a full-stack data scientist to support our LLM efforts and AI innovation located in San Francisco. Data Scientist (Senior) - AI Analytics. The Data Science team at Infinitus plays a pivotal role in advancing our mission through the adoption of a data-driven methodology for crafting both NLP product and business strategies, establishing and evaluating key performance indicators, and continuously driving improvements to our AI platform.
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AI Senior Data Scientist Senior Manager. As a Senior Data Scientist, you will be at the forefront of our AI initiatives, collaborating with cross-functional teams to design, develop, and implement state-of-the-art AI solutions for our clients.
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data job Title: scientist in Sausalito, CA
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