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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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We are looking for a Staff Data Scientist to partner with our product managers, designers, software engineers and business leaders to drive adoption for two new products, real-time driving behavior tracking and GPT-4 powered chatbot.
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Senior Data Scientist - Machine Learning. 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Bioinformatics Data Scientist (Systems Biology) Our work combines genomics, proteomics and state-of-the-art imaging technologies with software engineering, machine learning and data science.
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We're looking for a passionate Principal Data Scientist with hands-on predictive modeling experiences and in-depth knowledge of consumer lending products. If you are a creative and critical thinker, storyteller, learner, and innovator and want to work in an environment focused on using data science and big data tech, keep reading.
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Some experience as a Data Scientist or advanced analytical role. Expertise in Python, R, SQL, statistics, data mining. In this role, you will conduct sophisticated data analytics, data mining, exploratory analysis, predictive analysis, and statistical analysis.
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Job description: The Senior Data Scientist will work in a collaborative environment with global teams to drive client engagements in a broad range of industries to design and build scalable AI and Machine Learning solutions to solve business problems and create value by leveraging client data.
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Relevant publications in data visualization conferences (e.g., CHI, UBICOMP, UIST, CSCW, Mobile HCI, InfoVis, EuroVis, VAST, VDS) Bonus: Experience with Databricks / Spark in addition to using multiple Cloud services' data products and services Bonus: Experience with popular commercial BI and Analytical tools such as Power BI, Tableau, etc.
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As a Data Scientist, you will enjoy leading edge work developing innovative solutions to address data analytics challenges, to collect large volumes of data from varying sources, perform data cleansing, transformation, interpretation, inferencing, create solutions to overcome mission challenges, and communicate with interested stakeholders.
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The Staff GIS Data Scientist (Staff Scientist) is responsible for working with the Foundation’s staff, grantees, and other conservation partners to assist in the development, management and implementation of NFWF’s Geographic Information Systems to support outcome-based monitoring strategy for the Foundation’s conservation programs.
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As a Data Scientist on the Square Loans team, you will partner with cross functional stakeholders like Product, Credit Policy, Engineering, and Operations to shape and execute strategies that expand credit eligibility, enhance loan gross profit, and improve cohesive banking user experience on a global scale.
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Sr. Data Scientist. Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as Rand Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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Advanced proficiency with data, analytics, and visualization technologies (we use SQL, Looker, and Python). Experience collaborating and building relationships with cross-functional stakeholders, influencing business decisions with data.
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Familiarity with product data science, understanding and tracking user behavior using analytical lenses like engagement, conversion, cohorts, segmentation and funnel analysis. 5+ years of Data Science or other quantitative field.
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Experienced Data Scientist – GenAI. Develop end-to-end Generative AI enabled pipelines including data processing, feature & model development and production deployment with agility and scale.
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Title: data scientist Company: Dataiku
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