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Advanced skills in Python, SAS, SQL, R, JMP, Excel, Word and PowerPoint. The AVP will also lead and guide the data science team with modeling expertise in forecasting, optimization, data mining, analysis and analyzing complex datasets; lead and guide in the use of descriptive and supervised machine learning methods and advanced statistical methods using innovative and the latest advanced technique and algorithms; and lead and guide in the production of research and analysis to quantify the impact of internal and external environments on portfolio performance.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark.
$137,700 - $229,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Model knowledge of Machine Learning techniques and develop solutions in Python, SQL, and/or R. Master’s degree or PhD in machine learning, statistics, computer science, data mining, math, or any quantitative discipline.
$157,000 - $176,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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This team is responsible for developing optimization, simulation, machine learning models and niche data science techniques to evaluate product flow from vendor to omnichannel distribution center and customer, across the first mile, middle mile and last mile, with focus on delivery speed, ensuring sufficient capacity for throughput and storage (via inventory modeling) in the network and improve operating efficiencies in omnichannel distribution and transportation across the network.
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This is a full-time hybrid role for a Senior Data Scientist located in Irving, TX. We seek a candidate with expertise in the latest machine learning models and trends, including large language models, natural language processing, deep learning, retrieval-augmented generation, and frameworks like LLAMA and Langchain.
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Basic understanding of mathematical analysis methods, machine learning models, statistical analysis and predictive modeling *Education. Use strong programming skills in SQL, pyspark, Python, R, or any of the major languages to build data pipelines.
$92,700 - $185,400 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Or similar; full software development lifecycle, including requirements gathering, design, coding, testing, documentation, deployment, and production support; microservices architecture, REST APIs, and data analysis on large datasets using SQL, Python, or PySpark; and Sybase and other relational database management systems (RDBMS) as well as database query language.
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Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
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Use Python, Spark/PySpark, Databricks, Delta Lake, SQL Server, Maria DB, Mongo DB, Jira, Git/Bit Bucket, Confluence, Databricks/Delta Lake, REST services, Tableau, Unix/Linux shell scripting, Azure Cloud for data ingestion, processing, transformations, warehousing, and reporting.
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2+ years of experience working as a Machine Learning Engineer and has implemented and deployed at least 2 large projects related to ML & Natural language processing ( NLP ) Hands on experience programming languages in Python, Spark, SQL, Data frames and PySpark.
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As a Senior Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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Strong experience working as a Data Engineer with excellent proficiency in Python, SQL, Azure and Databricks. These capabilities include batch and streaming analytics, machine learning models, natural language generation, and other emerging technologies in the field of advanced analytics.
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Demonstrated knowledge or experience with Machine Learning, Data Science, and Data Engineering principles and related technologies such as R, Python, SQL etc. Rigorous understanding of statistics/machine learning and ability to discern appropriate analytics techniques to problem-solve.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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R, Python, SQL, SAS or similar in core packages and libraries used for data science and machine learning. ETL and data engineering skills, including data cleansing and manipulation using SQL based tool/platforms.
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This role will be responsible for strategic planning of Machine Learning initiatives with the Product, Engineering, Performance and Business Intelligence teams, analysis of potential impact and prioritization of those projects.
$100,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
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