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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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A passion for enhancing audience, 1P data, and shopper insights capabilities. Proficiency in: Statistic concepts, programming / query languages: SQL, Python, R. Ensure data quality, integrity, and accessibility for stakeholders across the organization.
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Demonstrated depth in advanced analytics / data science technologies (e.g., machine learning, operations research, statistics, structural equation modeling, factor analysis, data mining, NLP techniques.
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Responsibilities: Performant has an immediate opening for a Sr. Data Warehouse Architect/EDI Specialist. The DWA/EDI specialist will architect, design, implement and maintain data interchange systems with external and internal partners and applications into the company’s modern data stack which include multi cloud platforms, Snowflake, and EDI pipelines.
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Debugging/development experience in Python, Java or Scala Understanding of data warehousing fundamentals and conceptsDatabase migration and ETL experienceExperience supporting applications running on either Amazon AWS or MS AzureExperience with virtualization solutions (VMware, Docker, VirtualBox, etc)Understanding of cloud computing security concepts Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data.
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CCIE R&S, or CCIE data center certifications and AWS certified solutions architect is a big plus. Experience operating in a modern cloud environment such as AWS, GCP, or Azure or large-scale data centers is a plus.
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This role is responsible for the Master Data Management (MDM) and Digital Asset Management (DAM) portfolio at the company inclusive of architecture, design and implementation of MDM/DAM solutions to address business needs.
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PhD in Computational Biology, Computational Bioengineering, Machine Learning, Statistics, Computer Science, Mathematics, or a related field. Significant experience and advanced knowledge of developing and applying algorithms in one or more of the following machine learning areas/tasks: deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods, scalable online estimation, and probabilistic graphical models.
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People Analytics - Utilizes People data and analytics to track key performance metrics, identify trends and makes data driven decisions to improve people and business outcomesChange Management - Partners with leaders to lead, implement and embed change initiatives through effective change management and communication practices.
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Watermark Retirement Communities, Inc. is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any associate at Watermark or its affiliates via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Watermark Retirement Communities, Inc. No fee will be paid in the event the candidate is hired by Watermark as a result of the referral or through other means.
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Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place. This includes nuclear weapons design and related weapons sciences, computer science, non-proliferation of Weapons of Mass Destruction (WMD), remote sensing technologies, Department of Defense programs, Global Security and Department of Homeland Security programs, Inertial Confinement Fusion (ICF) and Lasers.
$159,330 - $245,544 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Analytical, logical, data-driven, and ability in analyzing big data in decision-making process using tools such as database query and JMP. Together, we're the next BIG thing in data.
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Grid Dynamics provides digital transformation consulting and implementation services in omnichannel customer experience, big data analytics, search, artificial intelligence, cloud migration, and application modernization.
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We've seen some big changes since our first brick-and-mortar store opened more than half of a century ago. Our family of brands are Williams Sonoma, Williams Sonoma Home, Pottery Barn, Pottery Barn teen, pottery barn kids, Rejuvenation, Mark & Graham, west elm, or Outward.
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Workday experience with Adaptive Planning, Report Writer, Dashboards, Prism Analytics, Workday security a big plus. Technical mentality, comfortable with quickly learning new technology and applying it to support your strategic initiatives.
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