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Strong programming skills in languages such as Python, R, or Java. We help organizations like Uber, GoDaddy, MGM, Siemens, and Stanford University build distributed software development teams, and deliver transformational digital solutions.
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We're looking to hire a Mid-Level AI Machine Learning Engineer to join our team. 3+ years of professional experience as a Machine Learning Engineer with strong knowledge of AI. Experience with machine learning frameworks such as TensorFlow or PyTorch.
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Experience with any of the following technologies is a plus: Snowflake, Power BI, Microsoft SQL Server, Python, Power Shell, R/R Studio Workbench Server, Amazon AWS (EC2 instances, Redshift, lambda functions, S3, etc.
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Statistical Software: SAS, R, Python. Proficiency in data manipulation, analysis, and visualization using tools such as SQL, Python, R, SAS, or similar. Programming Languages: Python, R.
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Experience with data visualization tools or data visualization within a high-level programming language (e.g., Python, R) Proficient and proven experience scripting in a high-level programming language (e.g., Python, R.
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Strong analytical skills and advanced knowledge of one or more common data analysis tools and Computer Assisted Audit Technique technologies (e.g., ACL, Python, R, SQL, Alteryx). Strong analytical skills and advanced knowledge of one or more common data analysis tools and Computer Assisted Audit Technique technologies (e.g., ACL, Python, R, SQL, Alteryx.
$80,250.03 - $117,700.04 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience with a relevant programming language, like Python, R, or Rust. They are also software engineers who use Python to develop Kubernetes operators and Linux open source infrastructure-as-code.
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Experience using software (SAS, SQL, R, Python) Experience using software (SAS, SQL, R, Python) A well-established P&C company is looking for an individual to join their team as a Senior Actuarial Analyst Pricing.
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As a result, these professionals must be skilled in languages such as Python, R, and sometimes C. Coding skills come from self-study, college, or coding bootcamps. The Types of Machine Learning Engineers Machine Learning Engineer How Can You Become a Machine Learning Engineer.
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Senior Actuarial Analyst - Pricing. Remote / Chicago preferred / White Plains, NY / Boston, MA /San Diego, CA / Scottsdale, AZ / Warren, NJ / New York, NY. The responsibilities of this position includes preparing rate filings, creating presentations about strategic initiatives to share with other departments, and supporting regulatory & internal reporting.
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Preferred) Experience leveraging digital analytics platform technologies such as Adobe Analytics (or related platform) (preferred) Familiarity SQL, R, or Python (preferred) preferred) Experience leveraging digital analytics platform technologies such as Adobe Analytics (or related platform) (preferred) Familiarity SQL, R, or Python (preferred.
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2 years of practical quantitative programming experience with SAS, SQL, Python, R, and large datasets. Job Role and Responsibility: Wells Fargo seeks a Quantitative Analytics Specialist to develop, implement, and calibrate various analytical models; Perform highly complex activities related to financial products, business analysis, and modeling; Perform basic statistical and mathematical models using Python, R, SAS, C.
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Strong analytic and quantitative skills such asKnowledge of financial mathematicsAdvanced knowledge of ExcelProficiency in a programming language such as Python, SAS, SQL, R, Google Cloud, Big Query, VBAStatistical analysisData visualizationPreferred skills/familiarity with Calypso, RiskWatch and Bloomberg.
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Proficiency in a programming language such as Python, SAS, SQL, R, Google Cloud, Big Query, VBA. Market Risk performs oversight of the Fixed Income, Equities, Foreign Exchange and Interest Rate and Commodity Derivatives trading activity throughout the bank and broker-dealer.
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Proficiency in data analysis tools and programming languages, such as Python, R, SQL, and Excel. Data Visualization: Create informative and visually appealing dashboards and reports using tools like Tableau, Power BI, or Python libraries.
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