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Must have 1 year of experience using database management software, statistical and predictive machine learning software, and link analysis/data visualization software. Must have 1 year of experience in any three of the following next gen tools and technologies: Hadoop, HIVE, Impala, Apache Drill, Pentaho, Paxata, Podium, Databricks, Tamr, Datastax, Datameer, Splunk, Sumologic, Mapreduce, Python, Scala, R, Spark.
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Interpret statistical and mathematical testing results to ensure any update to the models and calculators adhere to internal model risk management guidelines and regulations. We are looking for an experienced quantitative developer who has a background in investment banking products in a capital planning and/or regulatory reporting capacity.
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Has expert knowledge of standard data science and statistical techniques Has expert knowledge of two of causal inference techniques, Gen AI (LLM) implementation, or contextual bandits Experience implementing scalable systems (Google Cloud preferred.
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Strong proficiency in quantitative modeling, statistical analysis, and programming languages such as Python, R, or MATLAB. Utilize sophisticated mathematical and statistical techniques to enhance portfolio performance and manage risks.
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Familiarity with analytics concepts such as databases, programming, statistical modeling, machine learning, data visualization. Independently work on analytical projects involving large amounts of data, statistical modeling / machine learning.
$79,500 - $106,424 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Fair Lending Analytics Director manages the development and implementation of modeling and statistical technologies to ensure the Bank’s policies, products, practices, and models are fair. Primary Duties and Responsibilities:The Fair Lending Analytics Director performs a wide range of duties including, but not limited to: Own, enhance, implement, and maintain the Bank’s Fair Lending Analytics Program, ensuring that appropriate Fair Lending statistical analyses are conducted accurately and timely to mitigate fair lending risk across the Bank’s partners and products.
$180,000 - $220,000RemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in utilizing statistical software tools such as JMP and Minitab. Implement statistical process control techniques and data analysis to drive process improvements and ensure consistent product quality.
$150,000 - $180,000 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with medical image analysis (e.g., MRI, CT, X-ray, Ultrasound) and related statistical methods and software packages (e.g., ITK C/C libraries, R/SPSS) is desired (but not necessary.
$70,000 - $77,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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4) Improving and streamlining existing business procedures for monthly, quarterly, and annual reporting to increase efficiency and improve understanding of insurance products leveraging VBA and SQL programming languages and R, MATLAB or Python statistical software.
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Master's degree in Business, Analytics, or related field, Project Management Certification, Six Sigma certification, Statistical Programming LanguagePrimary Location. As a Power BI Developer, you will apply your intellectual curiosity and passion for problem solving to dig into our mammoth scale of data to help unleash the power of retail data analytics by imagining, developing, and maintaining Power BI Semantic Data Models that our Walmart data users can rely on.
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Working knowledge of statistical techniques and their audience development applications including regression analysis, decision trees, random forests and cluster analysis. Experience with audience tools and data sets such as Scout (Mediahub quantitative survey), Acxiom Infobase, Nielsen, ComScore, MRI Simmons, YouGov, Dun & Bradstreet, 1st party (CRM) data.
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Utilize statistical analysis and predictive modeling techniques to forecast pricing impacts and evaluate pricing strategies. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, and reproductive health choices), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as someone with a disability, political views or activity, or other applicable legally protected characteristics.
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Knowledge and proficient use of statistical software packages e.g. SPSS, Stata, SQL, Python, R, and Tableau. OIG-NYPD is seeking an Associate Investigative Analyst to lead confidential and sensitive investigations into the operations, policies, programs and practices of NYPD. The Associate Investigative Analyst will review selected operations, policies, programs, and practices of the NYPD using an investigative data-driven approach to identify areas of concern, in addition to areas for improvements in how NYPD carries out its law enforcement responsibilities.
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Technical Skills: Proficiency in programming languages such as Python, R, or MATLAB. Experience with statistical software and data visualization tools. Model Development: Design and develop quantitative models for natural gas price forecasting, risk management, and trading strategies using statistical, econometric, and machine learning techniques.
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Expertise is statistical concepts, Casual Inference methods, A/B Testing, other Marketing Measurement methodologies ( MMM, MTA, Lift testing). We are looking for Staff Data Scientist to help reimagine the way we empower Suppliers and Sellers/Marketplaces with best-in-class omni-channel advertising tools at scale.
$132,000 - $264,000 a yearFull-timeExpandApply NowActive JobUpdated Today
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