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Experience in Deep Learning techniques, e.g. Transformers, LLM, VLM, vision transformers, transfer learning, LORA, PEFT, CNN, or NLP.Experience using python and/or C/ C. Strategic Planning:Develop and refine the analytics development platform.
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The primary driver of success for the candidate will be the successful generation of new sales opportunities that effectively close, creating new clients and revenue for GDS Link. Fraud and Credit risk management, along with loan origination optimization, will be a critical component of the value proposition sold, along with modeling and performance analytics, automated underwriting, pricing and eligibility automation, data management, digital transformation, and loan process automation.
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Tredence focuses on last mile delivery of insights into actions by uniting its strengths in business analytics, data science, and software engineering. Hands on experience in Python. Tredence focuses on last mile delivery of insights into actions by uniting its strengths in business analytics, data science, and software engineering.
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You will get to collaborate with experts in marketing, programming, research, data, analytics, podcasting, music, and artist relations as you build new approaches to driving impact. Your core KPI is finding big revenue opportunities within auto organizations, developing meaningful partnerships and solutions, creating solid and trusted relationships with client and agency teams, and growing/retaining revenue against your client base.
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Expertise in MS-SQL, Databricks, Python, PowerShell, and additional scripting languages. Responsibilities: Craft reusable, efficient, and testable code across various languages including Python and PowerShell to streamline data processing and system integrations.
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Data Strategy and Analytics: Develop a comprehensive data strategy that includes the implementation of modern data warehouses/data lakes and analytics platforms like PowerBI or Tableau. Familiarity with mid-market ERP solutions such as NetSuite, Sage Intacct, and the development of scalable ERP platforms to replace legacy systems like QuickBooks Enterprise.
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Experience with big data technologies such as Hadoop, Spark, or Kafka. Strong proficiency in programming languages such as Python. Familiarity with data warehousing solutions like Amazon Redshift, Google BigQuery, Azure or Snowflake.
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Experience selling or using related software products like CloudCompare, Recap, or the Autodesk suite including Navisworks, Revit & AutoCAD is a big plus. Experience with 3D scanning/Reality Capture and the use of drones in construction a major plus.
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Experience with Snowflake/Big Query, Google Dataproc/Databricks or any big data frameworks on Spark. Establish strong software engineering principles for development in Python on the Azure/Google Cloud Platform.
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Certification by the American Registry of Radiologic Technologists (ARRT) in Magnetic Resonance Imaging (ARRT-MR) or Radiography (ARRT-R), or American Registry of MRI Technologists (ARMRIT). Certification by the American Registry of Radiologic Technologists (ARRT) in Magnetic Resonance Imaging (ARRT-MR) or Radiography (ARRT-R), or American Registry of MRI Technologists (ARMRIT.
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Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (e.g. Parquet, Avro, Protocol Buffers.
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Knowledge of programming language(s) such as Python, SQL, Scala, Java, JavaScript, C# or C. Data Engineering Requirements: Exposure to programming languages such as Python, Java, or Scala, with a focus on data processing libraries (e.g., Pandas, PySpark.
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Proactively identify integration opportunities and efficiencies between Content Marketing, Social Media Marketing, Creative, Insights & Analytics and Public Relations teams. Experience working within Content Marketing, Social Media Marketing, Creative, Insights & Analytics or Public Relations.
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Experience with Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Snowflake and/or equivalent cloud data technologies and platforms. Experience defining architectural patterns, solutions and controls for data pipelines, data integration, data transformation, analytics, reporting and modeling (e.g., AI/ML.
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Total Rewards Our comprehensive talent suite leverages a combination of proprietary talent IP, talent data, analytics and insights to help customers understand their workforce and existing talent gaps, and deliver targeted talent interventions at scale using HR technology.
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