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Proficiency in statistical methods (eg, linear regression, logistic regression, survival analysis, ARIMA), AI/machine learning techniques (eg, Random Forest, XGboost, Clustering, Neural Network, NLP, Image Recognition) and programming languages (eg, Python, R, SAS, SQL.
$88,800 - $153,920 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Proficiency in Snowflake, Oracle SQL, Python, R (Preferred), Cognos, Power BI, and other reporting - analysis tools. Proficiency in Snowflake, Oracle SQL, Python, R (Preferred), Cognos, Power BI, and other reporting - analysis tools.
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Proficiency using data analysis software (e.g., SAS, SPSS, R, Python, DeDoose, NVivo, ArcGIS, etc. For this role, Cadmus seeks candidates with professional experience in program evaluation, social science research methods, and/or energy efficiency or sustainability.
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Advanced expertise with software such as Python, R, SAS, SAS Enterprise Miner (or equivalent) Excellent coding skills in Python, SQL, and Bigdata technologies. Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field.
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Advanced programming skills in a statistical programming language, such as SAS, R, or Python, preferred. Provide input to model risk management framework, including maintaining model inventory and model risk rankings.
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Prior experience with technical model reviews, knowledge of one or more financial modeling methodologies which includes knowledge of statistical and algorithmic methods applied in financial modeling, proficient knowledge of programming languages such as R, Python, or C.
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Technical Skills: Strong to expert hands-on data analysis skills using exploratory or scripting tools like MS Excel, SQL, Databricks, Python, R, or equivalent. Coordinate with Support, Product Management, R&D, and Customer Success to ensure the appropriate level of response to customer needs.
$78,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Good planning, prioritization, problem-solving, and organizational skills Data analysis using tools such as JMP, or proficiency with R or Python Effective written and verbal communication skills (fluency in English) as well as strong interpersonal, negotiation, and influencing skills Experience with GSuite, Jira, and/or Confluence Based on the role, colleagues may be eligible to participate in an annual bonus plan tied to company and individual performance, or an incentive plan.
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Coding experience in Python, SQL, and R. Data visualization tools such as Power BI or Qlik Sense. Machine learning or deep learning algorithms, natural language processing techniques. Apply statistical, machine learning, and NLP techniques to identify patterns, extract meaningful insights, or develop new tools or solution for the business stakeholders.
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Must have two years' programming experience in at least two of the following: R, Python, SQL. Deep knowledge of Life Sciences Research and Early Discovery (R&ED ) data & analytics in Target Screening, Lead Optimization, Vaccines, Lab - Dry & Wet, Instrumentation, LIMS, CMC and other relevant areas.
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This position is within First Citizens Bank’s Model Risk Management (MRM) team, with a primary focus on conducting validations for the bank's models used for credit risk rating, marketing, and wealth management.
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Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data- oriented programming languages (Python, R) and visualization software such as Qlik.
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Demonstrated experience in computer programming languages (e.g., python, R, Matlab, SAS); Demonstrated education and/or experience using spreadsheets and/or statistical software (e.g. SAS, R, SPSS, etc.
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Proficiency in Python/R development using Pandas, SciKit-Learn, MatPlotLib, and other libraries. Our team provides business analytics services, including self-service access to data via Snowflake, federated dashboard development via PowerBI and Tableau, and practical business insights through data analysis and data science projects.
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