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Data Analysis and template design for multiparameter flow cytometry panels using dedicated analysis platform, (FlowJo, Kaluza, FCSExpress) Experience in performing ligand binding assays, including assay optimization, data analysis, and troubleshooting.
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Collaborate as a member of project teams to generate data (aligned with a science plan) enabling the establishment of structure-activity relationships (SAR), addressing all aspects of lead optimization (e.g., intrinsic potency, selectivity, and in vivo efficacy); demonstrate leverage of these data, aligned with the project science plan.
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Flow Back and Well Testing: Design and oversee flow back and well testing operations to gather critical data for production optimization. A strong focus on HSE, process safety, optimization, and field operations will be required.
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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Scope appropriate CNC equipment to be used, develop CNC fixtures, implement touch probing, lead the reduction of cycle time, development of advanced cutters and coatings, High Speed Machining implementation, support the programming and optimization of all CNC-related activities at contract manufacturers worldwide.
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Skills in data analysis, advanced Excel, VBA, PowerPoint, and SQL. Experience with Python, R, MATLAB, C/C#/C. A key Optimus power generation client located in downtown Houston needs a Sr. Commercial Asset Manager/Trader with a Northeast focus , to support optimization of their physical power generation asset portfolio.
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Candidates from other quantitative majors like Econometrics, Applied Mathematics, Data Science, Actuary Science, etc., with extensive advanced coursework in quantitative finance subjects like Stochastic Calculus, Hedging and Derivatives instruments, Monte Carlo simulations, Stochastic Optimization would also be considered.
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Experience working with data warehouse platforms to store and manipulate data (e.g. Snowflake, BigQuery) Ongoing development, evolution, and maintenance of our MMM and MTA to drive ongoing recommendations for investment optimization.
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Has demonstrated proficiency in one or more sub-disciplines of data science, like causal inference, forecasting, simulation, optimization, machine learning, or deep learning, geospatial.
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Review and refine the information security strategy for HOS, in line with the CISO objectives, including the management of the HOS security organization and optimization opportunities with the Central CISO Teams (Compliance, Security Operations GSOC, Awareness campaigns, Data Privacy), and plan and manage HOS CISO security budget.
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Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. The Associate Manager, Data Analytics and Process Optimization develops and implementing comprehensive tools and strategies that allow raw data to be transformed into business insights.
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Software Knowledge: Microsoft Suite, Nielsen Suite, Kantar, IMS, Flowchart Software, R/F and Optimization Software, Social Tracking tools, comScore, Prisma, MBOX, MRI/GfK, GWI. Must understand its capabilities and applications to translate data into actionable culture-first insights.
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The individual in this role will partner with Client, Strategy & Planning, Investment, Data & Analytics, Content, Commerce, and other Leadership to address critical needs from a diverse consumer standpoint to drive business growth via bespoke solutions.
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Own development of new ML models end-to-end from data strategy, initial development, optimization, production platform validation, and fine tuning based on metrics and on road performance.
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Execute mission-critical systems engineering work including, but not limited to: autonomous driving runtime, operating systems, embedded systems, large-scale distributed databases, model training systems, performance optimization, and software/hardware system architecture.
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