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Job Summary: The Data Scientist will be an MEng, PhD, or someone with similar educational or work experience who has both conceptual/theoretical and practical/hands-on expertise in data science, artificial intelligence, machine learning (includuing deep learning), and related areas and is highly motivated to contribute to scientific and engineering advances in a fast paced, high caliber, and entrepreneurial acadmic setting.
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Experience with Data mining, database, functional analysis, machine learning algorithm, dashboarding and data visualization is desirable. To achieve this vision, mRNA CoE is looking for data scientists who will be embedded in labs and will work closely with the scientists in the mRNA Sciences, Delivery, Chemistry, Discovery Biology and Biomarker teams.
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We are looking for a Data Scientist to join our Risk Data Science and Analytics Team. You will improve our risk controls through advanced statistical and analytical techniques. The Risk Data Scientist will identify and prevent fraud on our most valuable sellers.
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Mining: Leveraging over a century of expertise in the mining sector, AECOM has established itself as a leader in the planning, design, construction, and operation of mining and mineral processing facilities worldwide.
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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Demonstrating a thorough level of knowledge in statistical modeling, algorithms, data mining, and machine learning algorithms problem solving.
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Doctoral level training in informatics, data mining, computer science, or a closely related field; or an PhD with demonstrated strength in Biomedical Informatics research. · Prior experience with financial management and data collection systems.
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R, Python, or other data mining skills. Must be able to define problems, collect data, establish facts and draw valid conclusions. Columbia Threadneedle Investments, the global asset management subsidiary of Ameriprise Financial, is seeking a Portfolio Management Assistant to join the firm in Boston, MA or Minneapolis, MN.
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Ph. D. in Bioinformatics, Data Science or related field with at least 1 year of industry or post-doctorlal experience OR Master’s degree plus 3 years. : Collaborate effectively within groups Research and Biomarkers and with counterparts in PD&I, Analytical Sciences, Data and Computational Science (DCS) departments.
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Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools.
$81,000 - $127,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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So we’re building a bitcoin mining rig powered by Block designed custom ASICs∯*∯ With our mining rig, we can address many issues such as the concentration of hardware supply in certain countries and incompatibility with clean energy sources.
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Lead the selection and management of external CROs (clinical research organizations) for procurement of clinical samples for discovery and translational biomarker efforts using omics, proteomics, and data mining tools.
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As a senior ASIC Physical Design Engineer, you will work closely with other digital designers and mixed signal designers to develop the next generation of mining ASIC. In particular, the challenges of block level physical implementation, timing, integration, and physical verification are critical parts of this role.
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Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards.
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Build reliable data integration pipelines & interfaces to ensure that engagement data and financial operating data is regularly synced into our data lake and accessible to our business users and partners.
$100,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Utilize programming languages like SQL, Python and tools like databricks, iceberg, presto, graphql and Cloud based data technologies. The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
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data mining jobs Title: financial in Waltham, MA
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