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BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives: FIRST Robotics (For Inspiration and Recognition of Science and Technology) and AWIM (A World In Motion.
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Bachelor’s degree in in a quantitative discipline: computer science, applied mathematics, statistics, operations research, information systems, engineering, economics, or equivalent. Collaborate with IT teams on technology enhancements to improve the data governance and data quality monitoring processes and to resolve technical issues with data governance tools.
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Minimum bachelor’s degree in quantitative field (Mathematics, Statistics, Data Science or Economics), preferred Master's degree. Leading bank is seeking a Data Scientist - Digital Marketing & Risk Management.
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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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Bachelors or Masters in Statistics, Applied Mathematics, Computer Science, Operations Research, Engineering, Economics or a related field. Experience with data modeling, machine learning algorithms, optimization, and data science techniques e.g. decision trees, SVM, neural networks, time series, forecasting, classification, regression, clustering, cross-validation, and model evaluation.
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For a total of 6 years combined experience OR advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative field and 4 years of proven experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. P&C, Bank, Finance, Marketing, etc.
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BS degree in Data Science, Computer Science, Information Sciences, Mathematics, Engineering or related fields and minimum 4 years related business experience in analytics, data science, predictive modeling, machine learning, statistical modeling and/or user experience role OR advanced degree and 2 years directly related experience.
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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
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Bachelors degree in Data Science, Computer Science, Information Sciences, Mathematics, Engineering or related field and minimum 8 years of related experience, of which at least 4 years of directly related data analytics, data science, predictive modeling, machine learning, statistical modeling experience OR advanced in the required fields and 4 years directly related data science, analytics experience.
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Bachelor's degree in Computer Science, Data Science, Statistics, Informatics, Information Systems, Mathematics, Computer Engineering, or quantitative field. Experience with cloud-based data warehouse platforms (AWS RedShift, GCP BigQuery, Snowflake or equivalent.
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Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, and computer programming to large data sets. Freddie Mac’s Modeling, Econometrics, Data Science & Analytics Department is currently seeking a Quantitative Analytics Senior who will be responsible for the development and execution of quantitative analytics and modeling projects in support of Freddie Mac’s fair lending activities.
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Working across technical and functional teams, you will utilize the latest data science, data engineering, data visualization and business intelligence strategies, methods, and standards to bring forth market leading insights.
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Bachelor's degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields. Demonstrated experience applying data science methods to real-world data problems.
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Bachelor’s degree in quantitative fields such as Statistics/Data Science/Econometrics/Mathematics/ Business Analytics preferred. Are you a data science professional that enjoys statistical modeling.
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Bachelor's degree, or MS degree in Business, Economics, Technology Entrepreneurship, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning.
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