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Data Scientists develop end-to-end data science applications that apply predictive, prescriptive, and cognitive analytic methods to system-wide clinical and operational strategic initiatives.
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We are seeking a Data Science Associate to join the Fidelity Digital Asset Management business and report directly to the VP, Data Science. The Data Science team is a highly collaborative group leading technical projects across the FDAM organization to enable effective management of investment products and services.
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Solves business problems \u2014 Business to Consumer (B2C), Business to Business (B2B), quality operations, operations management, and automation \u2014 using Artificial Intelligence (AI) and data science techniques (Natural Language Processing (NLP), DL, ML, causal inference, predictive analytics, experimental design, and optimization.
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Broad technical skills including data modeling, SQL, databases, ETL/ELT, scripting, and commercial cloud service offerings (e.g. Azure, AWS, Databricks, Snowflake) The relevant infrastructure will include elements such as an enterprise data catalog, data governance (including conventions and standards), data quality, master data management, application integration, data exchange, ETL/ELT, data modeling, and related components.
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Contributions to data processing, analyses, and interpretation are expected, alongside overseeing a team of scientists and engaging with science leaders at biopharma partners for strategic and scientific planning.
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Tasking will be assigned to leverage the existing skills of the candidate, to include physics-based modeling, application of advanced mathematical techniques for data processing, digital signal processing, image processing, signals analysis, radar system modeling, and radar performance prediction.
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This position is with the Signal Processing team at WHOOP. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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The HDMI work is supported by a grant through the Bill and Melinda Gates Foundation, a champion of scaling up dietary data for better policy-making. The Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy is dedicated to advancing nutritional well-being for people worldwide through excellence in research, teaching and the shaping of public policy.
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Product Development, Pricing, Valuation, Modeling, Risk Management, Asset Liability Management, Investments, Data Analytics, and Internal Audit. Work with actuarial and data science software and technologies including MG-ALFA, Axis, Prophet, Dataiku, R, and Tableau.
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Bachelor’s or higher degree in Computer Science, Mathematics, Physics, Quantitative Finance, Engineering, Statistics or equivalent field, with significant coursework or equivalent experience in programming, modeling, simulation and statistical techniques.
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The Mission of Sanofi’s MSL Team and the Medical Science Liaison is to be the trusted scientific partners in the field for external experts and decision-makers; engaging in mutual scientific exchanges to accelerate data dissemination.
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Excel, MATLAB (or equivalent), COMSOL (or equivalent), CAD software, data analysis, DigiElch (or equivalent), EIS simulation. Comprehensive modeling of electrochemical systems, optimization and sensitivity analysis, charge-rate/capacity optimization, capacitive EDL vs Faradaic electron transfer optimization.
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These component technologies are used in synergy with quantum information science demonstrations, as well as in standalone applications that include beyond-CMOS circuit technologies, energy-starved sensors, compact optical communication and laser radar transceivers, and microwave photonic signal processing.
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Going beyond the existing plant-based burgers, we are developing alternative meat whole-cuts using innovations in materials science, manufacturing and even tissue engineering. BS, MS, or PhD in chemical engineering, food science, mechanical engineering or 8+ years of a proven track record of developing and scaling up similar processing systems (food processing, textile processing, polymer science.
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Work closely with scientists within the in-vivo pharmacology group to verify in-vivo and Pharmacodynamic (qPCR) data. Work closely with scientists within the ADME group to verify bioanalytical data generated using HPLC-FD and LC-MS/MS.
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data science predictive modeling jobs Company: Harnham in Cambridge, MA
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