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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
$178,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Develop Scalable Solutions: Architect and deploy robust, efficient, and scalable data pipelines and modeling solutions using cloud-based technologies (e.g., OpenShift, Docker, GCP) and programming languages like Python, BigQuery, Spark, etc.
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Extensive experience with exploratory data analysis, modeling and simulation with programming languages such as Python and R is required. You will work closely with the senior leaders in R&D (Discovery through to Pre-clinical and Clinical Development) on integrating QSP modeling into all facets of R&D. You will have the opportunity to develop strategies and processes for a role that will have great strategic impact on the company, which is undergoing an exciting metamorphosis by becoming a more digital, data-driven R&D enterprise.
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Experience leading teams in data analytics and data visualization, including selecting and applying the appropriate analytical techniques for statistical analysis, predictive modeling, simulation, and machine learning.
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Collaborate across multidisciplinary teams—Compliance, Data Science, Model Risk Management, Data Governance, and Human Resources. This position reports to the Head of Fair Lending and works closely with the Head of Data Science, Fair Lending Compliance, and Model Risk Management to establish and lead a comprehensive and robust Fair Lending Analytics function.
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Expertise in data modeling, predictive and prescriptive analytics techniques, machine learning, and SQL query optimization; strong understanding of data governance, data quality, and data security principles.
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The firm is the No. 1 investment bank for global M&A transactions under $1 billion, the No. 1 M&A advisor for the past eight consecutive years in the U.S., the No. 1 global restructuring advisor for the past nine consecutive years, and the No. 1 global M&A fairness opinion advisor over the past 25 years, all based on number of transactions and according to data provided by Refinitiv.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB. Should have worked on big data initiatives & scalable data architecture like Hadoop, Hive, Cloudera, Spark.
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QualificationsBasic Qualifications:> 5 years of experience in data, data management, reporting, business intelligence, product development> 5 years of experience across the entire enterprise data center stack from the hardware to the application layer> 4 years' experience on Data visualization (Tableau/PowerBI)> 3 years' experience on Data modeling (SQL, Excel)Skills Desired:> Proficiency in MS Office applications, i.e., Excel, PowerPoint.
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We're looking for an outstanding technical leader in economics and data science who specializes in statistical modeling, causal inference, and/or structural analysis to advance data-centric decision-making at Duolingo.
$314,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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On any given day, you might:Evaluate open-source and internally-developed modeling and analytics tools using real business dataIntegrate internal data with external data sources and APIs to discover and implement actionable insightsDesign and craft data science models to communicate solutions to customers and company leadershipWe'd love to find someone who is.
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The candidate should have a clear understanding of the relationship between land use and transportation, the four-step transportation planning process (including the use of US Census/American Community Survey data), and the procedures in the CEQR Technical Manual, Highway Capacity Manual, the AASHTO “Green Book,” and the Manual on Uniform Traffic Control Devices (MUTCD.
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Must have 18 months of experience in at least one of the following robotics automation tools: - Blue Prism - Automation Anywhere - WorkFusion - Pega Robotics / OpenSpan - UiPath Must have 18 months of experience in at least 2 of the following areas: - Implementation using Agile methodologies or robotics tool-specific methodologies - Process modeling - Opportunity assessment - Operating model improvement including center of excellence - Liaising between client leadership and developer teams.
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Experience with data management, data modeling, data governance, and data integration technologies and tools, such as Snowflake, AWS Redshift, Teradata, Informatica, SAP, InfoSphere, Tibco, Denodo.
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data modeling jobs in New York, NY
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