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Requirements Masters degree in a relevant technical field Extensive practical experience with spaceborne, airborne, and/or UAS-based remote sensing platforms and data sources, including lidar, synthetic aperture radar, and hyperspectral data sets is required.
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Maintain data integrity in compliance with GCP, relevant SOPs and regulatory requirements by reviewing data processes and filing documentation in the trial master file (TMF) Direct experience with different Data Management systems and technologies, Electronic Data Capture systems and CDISC data standards.
$173,000 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In this role you will have the opportunity to work with multiple, discrete engineering teams providing annotated, reliable data to train, develop, and evaluate natural language processing systems as well as consult on the language specific aspects of multilingual text.
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Leverage a broad stack of technologies — Python, AWS, Pyspark, Nvidia Rapids / Merlin / Triton, and more — to reveal the insights hidden within huge volumes of numeric and textual data. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Strong knowledge in the data-driven predictive model development with application in the energy storage systems. Factorial Energy is seeking a Senior Battery Data Scientist to join our team in our Billerica location.
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Experience working with cloud data warehouses (Snowflake, BigQuery, and/or Redshift) We are looking for a Principal Data Analytics Engineer with experience in data modeling to join the Data Engineering team at CarGurus as we scale out our data modeling framework in dbt.
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) The Clinical Data Analyst partners cross functionally to identify risk to data integrity throughout the data flow to drive quality collection for non-EDC data sources (fluid & tissue labs, digital, imaging, wearables) in Dyne's clinical studies.
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Pfizer’s Senior Associate Data Translator role is responsible for leading projects that apply artificial intelligence methods (statistics, machine learning, optimization, NLP and other analytics) to business data to improve processes, predict outcomes and create actionable insights that streamline global manufacturing, release and distribution operations across over 45 factories worldwide.
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Experience with big data technology (Spark) and experience with cloud platforms (AWS, Google Cloud) is desirable. Role OverviewWe are looking for a Data Scientist who will collaborate with a multidisciplinary team to support our Prioritization and Triage engine.
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Strong background in using HR data and HRIS products desired and experience producing analytics containing sensitive information and high levels of accuracyExpert level in ExcelExperience with Business Intelligence tools, i.e. Tableau, Domo, etc.
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Risk Management: Identify potential risks and proactively implement mitigation strategies to ensure system stability and data security. Proven experience (5+ years) in software engineering, with expertise in Python, Airflow, Snowflake, and AWS. Strong leadership and managerial skills, with a track record of successfully leading and mentoring engineering teams.
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Experience with modern data warehouse technologies (e.g., Snowflake, Redshift, BigQuery) and data modeling techniques. Experience with Function apps (AWS Lambda or Azure Functions)Experience with modern python web applications/apis (Flask, Django)Familiarity with cloud services (AWS, Azure, Google Cloud) and their data-related offerings Proven ability to architect and manage scalable, high-availability database systems.
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Job Description Senior Data ScientistLocation: Waltham, MAGet To Know The Team: Your deep experience with artificial intelligence, NLP, language models and advanced analytics is matched by a passion to build great products, lead innovation, be a mentor and guide to other Engineering team members.
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As a Lead Data Analyst for Cirkul, you will be tackling challenges across Growth/Marketing, Finance, Retail, Manufacturing, Supply Chain, and Customer Support teams to quickly deliver insights through analysis and experimentation, review and develop metrics, and develop business processes to scale analytics to support a hyper growth business.
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We are looking for an experienced Master Data Management (MDM) Platform Engineer who will be responsible for the end-to-end management of our Master Data Management platform, leveraging Profisee software hosted on the Azure cloud.
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Title: data Company: Get It Recruit Marketing in Lexington, MA
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