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JOB SUMMARY FOR Data Modeler:This role involves applying quantitative and qualitative analysis to synthesize trends into actionable insights, delivering deep-dive analyses, and data mining using Alteryx.
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Nifi, Python, kafka, Databricks, Informatica or any other integration technologies. Prior experience building an investments data warehouse covering common data domains (clients, portfolios, funds, holdings, transactions, trades, securities/investments, ESG, analytics, performance, IBOR/ABOR/TBOR, benchmarks/indices) or with vended products that provide similar functions (e.g. Eagle, State Street Alpha platform.
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4+ years of experience using SAS (including macro processing and Proc SQL), R, Python, or SQL in a research, consulting, or business environment. Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy.
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3+ years of hands-on experience with Artificial Intelligence (AI) such as reinforcement learning, or optimization algorithms Preferred qualifications, capabilities, and skills: PhD in Economics Experience developing advanced forecasting, AI, or ML models in consumer finance, financial services, tech, or a major retailer AWS Certified Machine Learning or Microsoft Certified: Azure AI Fundamentals preferred Expertise in at least one programming language, with Python preferred.
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TimescaleDB is deployed for powering mission-critical applications, including industrial data analysis, complex monitoring systems, operational data warehousing, financial risk management, and geospatial asset tracking across industries as varied as manufacturing, space, utilities, oil & gas, logistics, mining, ad tech, finance, telecom, and more.
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Entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Senior Data Engineer (Python, Kafka, Databricks, AWS) Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Technical skillset: Expert level Alteryx skills, Intermediate – Expert in Tableau, Advanced Excel, PowerPoint, R/ Python. This role involves applying quantitative and qualitative analysis to synthesize trends into actionable insights, delivering deep-dive analyses, and data mining using Alteryx.
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Experience with: Open source and commercial research related software, Python, R, Matlab, Mathworks, Julia, Ansys, Intel, nVidia cuda and GCC compilers. Solid understanding of data center operations fundamentals in networking and power Extensive Linux administration and networking skills are highly required.
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Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka. Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka.
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Familiarity with advanced analytics techniques, such as predictive modeling or machine learning using technologies such as Microsoft Azure Machine Learning or Python. Knowledge of data visualization best practices and user experience design.
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Be part of a group of engineers building data pipelines using big data technologies (Spark, Flink, Kafka, Snowflake, AWS Big Data Services, Snowflake, Redshift) on medium to large scale datasets.
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Familiarity with machine learning, GIS, remote sensing, and spatial data analysisBig-data experience is a plus. Preferred Education and Experience in programming in a language such as Python, MATLAB, R, or FORTRAN.Willingness to learn and use new languages.
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Domain experience with financial datasets like FactSet, Bloomberg, IBES, CompStat, S&P Global, Worldscope, Morningstar, MSCI, Reuters, IDC, Markit, BARRA, Axioma, Northfield, and PORT is a plus Demonstrated Experience in Python programming and familiarity with core data science libraries.
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Minimum 2 years of experience with Python for data processing and API development. Desired Qualifications:Experience (1+ years) with Data and ML Orchestration, Containerization, and GPU Compute technologies such as Docker, Kubernetes, Spark, or DaskBackground (1+ years) in a DevOps or MLOps role, building machine learning infrastructure with tools like Terraform or Google Cloud Deployment Manager.
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machine data mining processing python r jobs Company: Dell in Richardson, TX
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