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Experienced creating data search queries on relational database sources (e.g. Oracle and SQL) and geographical data apps (e.g., Esri ArcGIS and Google Earth). Individual applications support functions such as status reporting on DTRA missions worldwide; intake of DTRA customer requests for hazard prediction modeling; WMD analysis, and information sharing about key ongoing CWMD-related events.
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As a Staff Data Scientist, you’ll work on the GPC's Data Science team collaborating with data scientists, AI/ML engineers and product managers to build and augment our AI-driven digital Catalog, Discovery (Search & Recommendations) products.
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In-depth understanding and experience in two or more of the following: complex e-commerce applications, massive real-time event and message processing, data lakes, Big Data transformations and analytics, IoT edge and cloud data processing, SQL and NoSQL data modeling.
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Expertise with Search engine optimization, mapping user journeys, search relevancy and high availability architecture. Extensive experience in building scalable distributed search applications using Lucidworks Fusion and Apache Solr.
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Whether you join our Statistics, Optimization or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithmsthat power solutions our partners in Marketing, Supply Chain Optimization, Search and Personalization rely on.
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Proficient running queries against data (preferably with Google BigQuery or SQL) Demonstrated experience in predictive modeling, data mining and data analysis. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
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Excellent SQL skills as well as experience with common data and statistical toolkits such as R, Python, PySpark etc. Expertise with business intelligence and/or data visualization tools such as Tableau, MicroStrategy, etc.
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Knowledge and Skills: Proficiency in SQL queries, SSRS, and SSIS.Experience with data modeling techniques and BI technologies (e.g., Power BI, Oracle BI). Role: BI/AI/ML Data Architect/DeveloperLocation: Miami, Florida hybrid – Onsite Tuesdays & Wednesdays, remote Monday, Thursday & FridaysCompensation: $140K+ Performance BonusJob Type: Full Time/PermJob Code: 7301Job Summary: We are in search of a skilled Business Intelligence Data Architect to join our team.
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We are in search of a proficient Data Architect/Admin with expertise in SQL and DBT (Data Build Tool) to join our team. Job Title: Data Architect/Admin SQL + DBT.
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These efforts are executed from DTRA’s headquarters, on Fort Belvoir, VA, and from the Alternate Joint Operations Center (AJOC) at Kirtland Air Force Base, New Mexico. The OIMS platform is a program of record under the DTRA Information Technology (IT) Directorate, Knowledge Management Department (KT.
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Experience using data visualization and modeling tools such as SQL, Python, R, AWS, GCP, Azure, and BI and visualization tools, such as Tableau. Merkle is a leading technology-enabled, data-driven customer experience management (CXM) company.
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Strong analytical skills with advanced proficiency in Excel and other data analysis tools; VBA/SQL/Python skills are a plus. Job Description Job Description Eastridge Workforce Solutions has partnered with a renown medical research and development company, in the search for a well qualified Sr. Sales Compensation Analyst.
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Strong expertise and working knowledge in data analysis, statistical modeling, and data visualization tools (e.g., Google Looker, BigQuery, Python, R, SQL, Tableau, etc. Lead and collaborate with internal agency teams, including account strategy, paid media, social media, public relations, search engine optimization, and UX/UI design / development teams, to identify data-driven opportunities and extract meaningful insights.
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Ability to creatively solve business problems, innovating new approaches where requiredDemonstrated hands-on programming skills in Python, SQL, Hadoop, Hive. Additional knowledge of Spark, Scala desiredExceptional knowledge of mathematical and statistical modeling, sampling, bandits, and significance testingExperience in implementing advanced statistical techniques like regression, clustering, PCA, forecasting (time series), etc.
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Apply fundamental and advanced quantitative methods, including machine learning and statistical modeling, to solve complex business problems and enable data-driven decision making (e.g., build statistical and machine learning models for trend analysis and forecasting to predict future business outcomes for a Fortune 100 company.
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