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Sia Partners is looking for a talented Data Engineer to support our activities within the Data Science Business Unit. You will be working alongside with our Data Science consultants and our clients on Data Engineering topics, including creating relevant data models, developing powerful data pipelines, exposing them through various mechanisms including APIs, and using data visualization tools to efficiently present data.
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SCUBA certification and proficiency, and the ability to assess and collect data while SCUBA diving. Masters Degree or PhD in an environmental science (e.g., geology, biology, ecology, oceanography, forestry, or related environmental field.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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The Solid Waste Division Facility Engineering and Science Section, Landfill Engineering Geology and Environmental Data unit (LEGEND) is recruiting for an enthusiastic team player in an Engineer II position.
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This role will report to the VP, Data Platforms Product Management, and will work with and support multiple product delivery teams in the development and release of datasets and tools that enable analysis, activation, and governance of data for marketing, ad sales, consumer product development, personalization, experimentation, data science, and more.
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An evolving international research focused pharmaceutical company dedicated to the advancement and advocacy of products tailored for the hospital, related specialty, and respiratory sectors is seeking a highly motivated and well experienced Senior Medical Science Liaison (MSL) to support their growing respiratory pipeline.
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This role will be a critical part of the data platforms product team focused on developing tools supporting Disney’s direct-to-consumer streaming platforms including ESPN+, Disney+, and Hulu. This role will help develop and optimize the process for product delivery, support new product releases, enable stakeholders & end users, gather product feedback & customer satisfaction metrics, and support communication of product strategy, status, and roadmap.
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Senior Data Scientist, Prime Video - Discovery Science. The team develops, owns and operates a suite of data science and machine learning models that feed into online systems that are responsible for personalization and search relevance.
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Of the Enterprise Data solution team to improve the quality and availability of information to drive better search, reporting, data sharing, data science and analytics capabilities.
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Familiarity with Treasury management system preferredWho you areBachelor's or Master's Degree in a business-related field of study, including business, finance, accounting, economics, computer science, data analytics, math, data science, or similar areas of study.
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Data Consultant 3. Bachelor’s Degree or four years of experience in policy analysis, public affairs, data management, data analytics, math or statistics or a related field. Coordinate and communicate across the Multifamily Housing and Community Facilities division and Asset Management and Compliance division on data needs and findings.
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The Marketing Science team aims to drive decision-making on Global Prime Video marketing efforts by delivering sophisticated marketing measurement models. Python or related language- Experience with SQL and an RDBMS (e.g., Oracle) or Data WarehousePREFERRED QUALIFICATIONS- Experience implementing algorithms using both toolkits and self-developed code- Have publications at top-tier peer-reviewed conferences or journals.
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MSc or PhD in Biostatistics or Psychometrics, or a relevant science, for example in Health economics, Public Health, Epidemiology, Pharmacoeconomics, or Psychology. The psychometrics team supports studies of instrument development, psychometric evaluation (classical and modern methods), and analysis of CObased study endpoints (e.g., longitudinal modelling, survival analysis, trial exploration, missing data & intercurrent event adjustment.
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Use of tools like Apache Airflow, ADF, or Databricks to orchestrate and schedule data workflows. Experience in designing and implementing ETL processes using Databricks notebooks for efficient data extraction, transformation, and loading.
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Implement sensor fusion techniques to integrate data from multiple sensors such as GNSS, IMU, LIDAR, radar, sonar and cameras to enhance the accuracy and robustness of vehicle navigation where applicable.
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data science jobs Title: senior manager Company: Microsoft in Seattle, WA
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