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We are looking for a Staff Data Scientist to partner with our product managers, designers, software engineers and business leaders to drive adoption for two new products, real-time driving behavior tracking and GPT-4 powered chatbot.
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GDIT is hiring Scientific Data Analyst to provide support to the Epidemiology Task Force: CORVD Program at CDC. Proven experience as a Data Scientist, with a focus on Azure Databricks. Data Analysis, Databricks Platform, Data Science, Machine Learning, Technical Solutions.
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JOB DESCRIPTION At Inspire Brands, data and analytics are at the forefront of supporting our brands (Arby’s, Baskin-Robbins, Buffalo Wild Wings, Dunkin’, Jimmy John’s, and Sonic) and our team members.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Experience with real-time data processing and streaming techniques using Spark structured streaming and Kafka. The candidate will participate in all phases of the Data Engineering life cycle and will independently and collaboratively write project requirements, architect solutions, and perform data ingestion development and support duties.
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2+ years of analytical experience in consulting, data analytics, data science, or machine learning and predictive analytics. Square is looking for a Data Analyst to join the Seller Customer Success Operations team to help build the strategy by providing data insights around customer satisfaction, team happiness, and operational efficiency.
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CoStar Real Estate Manager is looking for a Senior Data Operations Analyst to join a highly motivated team that is responsible for the daily operations of CoStar’s data environments. Developed understanding with database technology with proficiency in dealing with data formats including Microsoft Excel, Access, SQL and other formats.
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Build out Data Strategy & Governance Offering Assets, Delivery Framework, Marketing Collateral, and Go-to-Market Strategy. Drive Data Strategy & Data Governance offering sales pipeline through cross practice/cross channel sales activity.
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Analyzes and evaluates data fields of GCIC/NCIC records in department. Inquiries against confidential criminal justice data bases for compliance with the Rules of the GCIC Council, federal and state laws and operational procedures.
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Experience with Databricks for data engineering and exploratory data analysis. Utilize Databricks for large-scale data processing and model training, ensuring efficient data manipulation and transformation.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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Foster an integrated customer account strategy with PYLAM(s) and drive the cultivation and synergy among Medical Affairs, Marketing, Market Access, Customer Excellence and all related work teams including PMF's aimed at growth and continuous improvement; identify and provide market intelligence about trends in patient / disease management, competing technologies, reimbursement issues, etc.
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End to end data and analytics solutions design experience using cloud technologies- AWS S3, Spark, EMR, Data bricks, MPP databases, Redshift/Snowflake right from Ingestion to Transformation to Consumption using various methods including API delivery Minimum Qualifications: Graduation/Bachelor’s.
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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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market data jobs Title: officer watch Company: Leidos in Decatur, GA
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