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Seer's new ML scientist will be empowered to drive methodology development applied to our large-scale mass spectrometry-based proteomics data and demonstrate impact in core measurements and downstream analyses.
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Preferred experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred.
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Take deep dives in large-scale data to identify key insights that will shape future product/brand strategy for a specific therapeutic area. Working knowledge of relational databases, including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake/Databricks.
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6 to 10 years of professional experience in predictive modeling, data science, machine learning. Experience building and deploying data science capabilities at scale via standalone applications, e.g., Shiny, Django, Flask, Angular or by embedding in business systems, e.g., SalesForce.
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As an applied machine learning scientist, you will use your expertise in modern computer vision methodology to improve world-leading Sartorius imaging products routinely used by major companies across the life science and biopharmaceutical industry.
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Sartorius is seeking a Senior Machine Learning Applied Scientist to expand our Corporate Research team. Working knowledge of either machine learning management systems such as Azure ML, machine learning workflow-engines such as MLFlow/Airflow/Metaflow, or data storage, databases, and structure for large data volumes.
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We're on the lookout for an accomplished Staff Data Scientist to join the Data Engineering & Analytics team at StubHub. In this role, you'll play a pivotal part in crafting and deploying cutting-edge machine learning models that drive business and operational choices within StubHub's dynamic ecosystem.
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As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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The Computational Biology group in the Clinical Biomarkers & Diagnostics (CBD) department at Company is seeking a highly motivated Sr data scientist to join our team and contribute to develop machine learning modeling and prediction pipelines using multi-modal biomarker data from clinical trials.
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As an Data Scientist Director in the ISDA team you will be working on exciting end-end machine learning problems and solutions. The ISDA team's mission is to utilize large-scale computation, true large-scale data set, and apply machine-learning to our most critical products.
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We are looking for a Machine Learning Engineer who can bring bleeding edge machine learning and optimization models into production together with a highly multi-disciplinary team of data scientist, software development engineers, strategic partners, product managers and subject domain experts.
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Improve the accuracy and efficiency of 2D and 3D geospatial data processing using machine learning, and enhance AI and vision systems for effective large-scale data analysis.
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As the Principal Data Scientist, you will oversee end-to-end implementation of Machine Learning products in the Ads. You will guide a scrum team and collaborate with an accomplished team of Product Managers and Technologists to implement ML/AI solutions at scale.
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Collaborate with bioinformatics and artificial intelligence/machine learning data science teams in development of novel methods for sensor data exploration and biomarker discovery.
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They will use relevant statistical techniques, machine learning models and artificial intelligence algorithms to analyze data, design data models and derive insights to influence actions that maximize business value and effectiveness for the commercial technology segments.
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